Event List
retrieve:
Return the details about the given Event id.
list:
List all Event objects.
GET /api/v1/events/?format=api&offset=170&ordering=event__label_link
{ "count": 203, "next": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=180&ordering=event__label_link", "previous": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=160&ordering=event__label_link", "results": [ { "id": 71767, "title": "Information session - CAS Leading Sustainable Business Operations", "slug": "information-session-cas-leading-sustainable-busine", "event_url": "https://memento.epfl.ch/event/information-session-cas-leading-sustainable-busine", "visual_url": "https://memento.epfl.ch/image/33090/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33090/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33090/max-size.jpg", "lang": "en", "start_date": "2026-05-28", "end_date": "2026-05-28", "start_time": "12:30:00", "end_time": "13:00:00", "description": "<strong>Make responsible operational decisions with confidence.</strong><br>\r\n<br>\r\nEPFL is proud to introduce <em>Leading Sustainable Business Operations</em>, an executive program for professionals who need to integrate sustainability into how business actually operates. As sustainability requirements expand across regulations, markets, and value chains, organisations must rethink how decisions are made, how trade-offs are managed, and how performance is measured.<br>\r\n<br>\r\n<br>\r\nJoin the <strong><u>next online information session</u></strong> on <strong><u>May 28th</u></strong> <strong><u>(12:30 - 13:00)</u></strong><br>\r\n<br>\r\n<strong>> <a href=\"https://epfl.zoom.us/meeting/register/uwcKCbx6Q2-lwt0pq2jKFw\">Register here</a></strong><br>\r\n<br>\r\n<br>\r\n<br>\r\n+ info & agenda: <a contenteditable=\"false\" href=\"https://go.epfl.ch/srvc-infosessions\" title=\"https://go.epfl.ch/srvc-infosessions\">go.epfl.ch/srvc-infosessions</a>", "image_description": "", "creation_date": "2026-04-30T12:40:09", "last_modification_date": "2026-04-30T12:46:32", "link_label": "Registration", "link_url": "https://epfl.zoom.us/meeting/register/uwcKCbx6Q2-lwt0pq2jKFw", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "https://epfl.zoom.us/meeting/register/uwcKCbx6Q2-lwt0pq2jKFw", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "- Elaine Moran, <em>SRVC Executive Director</em>", "organizer": "EPFL Executive Education", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120603/", "category": { "id": 4, "code": "DIVERS", "fr_label": "Autres types d’événement", "en_label": "Miscellaneous", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/3/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/437/?format=api", "https://memento.epfl.ch/api/v1/mementos/438/?format=api" ] }, { "id": 71819, "title": "Be Seen and Heard - Seminar and Workshop", "slug": "be-seen-and-heard-seminar-and-workshop", "event_url": "https://memento.epfl.ch/event/be-seen-and-heard-seminar-and-workshop", "visual_url": "https://memento.epfl.ch/image/33142/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33142/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33142/max-size.jpg", "lang": "en", "start_date": "2026-06-10", "end_date": "2026-06-10", "start_time": "12:00:00", "end_time": "17:15:00", "description": "<p>The BIOP and SV Communications teams invite you to a <strong>Seminar </strong>and an afternoon of <strong>hands-on</strong> sessions on best practices and tools for communicating your data.<br>\r\n<br>\r\n<u><strong>Program</strong></u><br>\r\n<br>\r\n<strong>12:00 - 13:15 - Seminar</strong>\r\n</p><ul>\r\n\t<li>Introductory talk - <em>Arne Seitz</em></li>\r\n\t<li>EPFL Standard guidelines - <em>Eva Schier & Laurence Mauro</em></li>\r\n\t<li>How to create impactful and effective posters - <em>Eva Schier & Laurence Mauro</em></li>\r\n</ul>\r\n<strong>13:30 - 17:15 - Workshop </strong>(limited to 30 participants)\r\n\r\n<ul>\r\n\t<li>Image Ethics & Quarep’s checklist - <em>Arne Seitz</em></li>\r\n\t<li>Make use of OMERO to augment your figure with interactive content - <em>Rémy Dornier</em></li>\r\n\t<li>How to create 3D rendered data, make videos and publish them on mediaspace - <em>Romain Guiet</em></li>\r\n\t<li>Make use of story telling to make your talk more engaging - <em>Anjalie Schlaeppi</em></li>\r\n</ul>\r\n<br>\r\nCome and learn to make the best of your data!<br>\r\n<br>\r\n<a href=\"https://forms.gle/6LkaftTrDQpFdchY9\">Free - registration mandatory</a> <em>You can register for the seminar only, the afternoon workshops only, or the full program.</em>", "image_description": "", "creation_date": "2026-05-06T15:36:11", "last_modification_date": "2026-05-12T17:06:56", "link_label": "Registration", "link_url": "https://forms.gle/6LkaftTrDQpFdchY9", "canceled": "False", "cancel_reason": "", "place_and_room": "AI 1153", "url_place_and_room": "https://plan.epfl.ch/?room==AI%201153", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "BIOP & SV Communications Teams", "organizer": "BIOP & SV Communications Teams", "contact": "[email protected]", "is_internal": "True", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120680/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/26/?format=api", "https://memento.epfl.ch/api/v1/mementos/111/?format=api", "https://memento.epfl.ch/api/v1/mementos/284/?format=api", "https://memento.epfl.ch/api/v1/mementos/412/?format=api" ] }, { "id": 71880, "title": "Imaging Seminar: Mapping cellular function with 3D single-molecule tracking and super-resolution microscopy", "slug": "imaging-seminar-mapping-cellular-function-with-3-2", "event_url": "https://memento.epfl.ch/event/imaging-seminar-mapping-cellular-function-with-3-2", "visual_url": "https://memento.epfl.ch/image/33202/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33202/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33202/max-size.jpg", "lang": "en", "start_date": "2026-06-25", "end_date": "2026-06-25", "start_time": "17:00:00", "end_time": "18:00:00", "description": "<strong><a href=\"https://docs.google.com/forms/d/e/1FAIpQLSepcadZ0LZTP-BpVwOnH2ljz6z4CtAFbXxIkfEL0Mpio-vrqQ/viewform?usp=header\">Registration</a><br>\r\n<br>\r\nAbstract</strong>: Cellular function is governed by the molecular organization and interactions at the nanoscale. In this talk, I will present our recent advances in 3D single-molecule tracking of dynamics and super-resolution imaging of nanoscale structures throughout mammalian cells, and showcase applications of our approaches for cellular imaging. I will describe our developments of light sheet microscopy platforms that reduce fluorescence background, photobleaching, and the risk of photodamaging sensitive samples. Combined with point spread function (PSF) engineering for nanoscale localization of individual molecules in 3D, deep learning for analysis of overlapping emitters, and a novel 3D nanoprinted microfluidic chip for environmental control, these platforms enable whole-cell multi-target 3D single-molecule super-resolution imaging with improved accuracy, precision, and imaging speed. I will also highlight our recent developments and applications of dCas9-based labels that enable flexible, long-term tracking of endogenous, non-repetitive genomic loci in live human cells with excellent spatiotemporal resolution. Using this approach, we demonstrate correlative tracking of gene dynamics and transcription for improved understanding of gene regulation. I will further showcase studies of disease mechanisms and novel therapies for the premature aging disorder Hutchinson-Gilford Progeria Syndrome. Together, these imaging technologies provide a versatile toolkit for quantitative studies of molecular dynamics, nanoscale structures, and molecular mechanisms, enabling new insights into a broad range of chemical, biological, and biomedical questions related to cellular function and pathogenesis.<br>\r\n<br>\r\n<strong>Bio: </strong>Dr. Gustavsson joined the faculty at Rice University in 2020 as a CPRIT Scholar in Cancer Research and the Norman Hackerman-Welch Young Investigator Chair. At Rice, she founded and serves as Director of the Center for Nanoscale Imaging Sciences. Her research group strives to gain detailed information about cellular nanoscale structures, dynamics, and molecular mechanisms by designing and applying innovative and versatile optical imaging tools. Dr. Gustavsson received her Ph.D. in Physics from the University of Gothenburg, Sweden. Her graduate work focused on studying rhythms and dynamic responses in single cells by combining and optimizing techniques such as fluorescence microscopy, optical tweezers, and microfluidics. Upon completion of her graduate work, Dr. Gustavsson joined the group of Nobel Laureate W. E. Moerner at Stanford University as a Postdoctoral Fellow. Her research focused on the development and application of 3D single-molecule super-resolution microscopy for cellular imaging and included the implementation of light sheet illumination for optical sectioning of mammalian cells. Her work has been recognized with multiple honors, awards, and fellowships, most notably the FEBS Journal Richard Perham Prize, the 3-year Swedish Research Council International Postdoctoral Fellowship, the PicoQuant Young Investigator Award, the NIH K99/R00 Pathway to Independence Award, the CPRIT Recruitment of First-Time Tenure-Track Faculty Members Award, the Scialog: Advancing Bioimaging Fellowship, the Edward S. and Fofo Lewis Chemistry Research Award, the NIH Maximizing Investigators' Research Award (MIRA), and the NSF CAREER Award.<br>\r\n<br>\r\n<strong>The seminar is followed by an aperitif. </strong>", "image_description": "", "creation_date": "2026-05-13T13:52:19", "last_modification_date": "2026-05-22T10:54:26", "link_label": "Registration", "link_url": "https://docs.google.com/forms/d/e/1FAIpQLSepcadZ0LZTP-BpVwOnH2ljz6z4CtAFbXxIkfEL0Mpio-vrqQ/viewform?usp=header", "canceled": "False", "cancel_reason": "", "place_and_room": "BM 5202", "url_place_and_room": "https://plan.epfl.ch/?room==BM%205202", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "Anna-Karin Gustavsson", "organizer": "<a href=\"https://imaging.epfl.ch/\">Center for Imaging</a>", "contact": "<a href=\"https://people.epfl.ch/cecilia.carron\">Cecilia Carron</a>", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120768/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/284/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api" ] }, { "id": 71707, "title": "QSE Center Spring Assembly", "slug": "qse-center-spring-assembly", "event_url": "https://memento.epfl.ch/event/qse-center-spring-assembly", "visual_url": "https://memento.epfl.ch/image/33033/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33033/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33033/max-size.jpg", "lang": "en", "start_date": "2026-05-29", "end_date": "2026-05-29", "start_time": "14:00:00", "end_time": "16:00:00", "description": "<p>The QSE Center Spring Assembly will take place on Friday May 29, 2026, from 14h-16h in CM 1 105. This event is an opportunity to bring the EPFL quantum community together and to share the breadth of our activities and collaborations.<br>\r\n <br>\r\n<strong>14h00-15h00: Flash talks</strong> – Eleven 5-minute talks will be given by a range of different QSE Center stakeholders including students, researchers, and internal and external collaborators.\r\n</p><ol>\r\n\t<li>Prof. Paul Dyson - The role of Centers at EPFL's Schools</li>\r\n\t<li>Dr. Anu Unnikrishnan - Quantum Centers’ collaborations within Switzerland and beyond</li>\r\n\t<li>Andrew Sutcliffe - Quantum education at EPFL</li>\r\n\t<li>Kate Pankovets - Quantum education at EPFL</li>\r\n\t<li>Gaia Stella Bolognini - Quantum outreach and scientific networking</li>\r\n\t<li>Dr. Aurelien Fabre – QSE Postdoctoral Fellowships</li>\r\n\t<li>Dr. Nahid Hosseini - QSE Innovation Seed Grant and innovating technologies in quantum</li>\r\n\t<li>Dr. Simone Frasca - Quantum Innogrant and start-up creation in the quantum domain</li>\r\n\t<li>Dr. Jonathan Conrad - Quantum science and technologies at the IC School</li>\r\n\t<li>Florian Micco / Dr. Katharina Füglister - International Affairs collaborations and activities</li>\r\n\t<li>Dr. Julian Jang-Jaccard - Armasuisse funding opportunities and collaborations</li>\r\n</ol>\r\n<strong>15h00-16h00: Poster session and coffee – </strong>A poster session showcasing quantum research at EPFL, accompanied by coffee and snacks. If you would like to present a poster, please let us know on the<a href=\"https://forms.gle/96ZXaHjD8w8nnHVy9\"> </a><a contenteditable=\"false\" href=\"https://forms.gle/LbdB5GhRjiNswMq59\" title=\"https://forms.gle/LbdB5GhRjiNswMq59\">registration form</a><a href=\"https://forms.gle/96ZXaHjD8w8nnHVy9\">.</a> Previously presented posters are welcome<strong>.</strong><br>\r\n <br>\r\nPlease<a href=\"https://forms.gle/96ZXaHjD8w8nnHVy9\"> </a><strong><a contenteditable=\"false\" href=\"https://forms.gle/LbdB5GhRjiNswMq59\" title=\"https://forms.gle/LbdB5GhRjiNswMq59\">register here</a></strong><a href=\"https://forms.gle/96ZXaHjD8w8nnHVy9\"> </a>for the event by <strong>May 26, 2026. </strong>Even if you can only come for part of the time, we still welcome you to attend.", "image_description": "", "creation_date": "2026-04-27T10:09:21", "last_modification_date": "2026-05-22T06:50:50", "link_label": "Registration and poster submission", "link_url": "https://forms.gle/96ZXaHjD8w8nnHVy9", "canceled": "False", "cancel_reason": "", "place_and_room": "CM 1 105", "url_place_and_room": "https://plan.epfl.ch/?room==CM%201%20105", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "QSE Center", "contact": "[email protected] ", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120530/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/145/?format=api", "https://memento.epfl.ch/api/v1/mementos/191/?format=api", "https://memento.epfl.ch/api/v1/mementos/389/?format=api" ] }, { "id": 71376, "title": "EPFL Latsis Symposium 2026: “Decoding the Cell: Modeling, Predicting, and Engineering Cellular States”", "slug": "epfl-latsis-symposium-2026-decoding-the-cell-model", "event_url": "https://memento.epfl.ch/event/epfl-latsis-symposium-2026-decoding-the-cell-model", "visual_url": "https://memento.epfl.ch/image/32724/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32724/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32724/max-size.jpg", "lang": "en", "start_date": "2026-10-29", "end_date": "2026-10-30", "start_time": null, "end_time": null, "description": "<p>The <strong>EPFL Latsis Symposium 2026<em>: “Decoding the Cell: Modeling, Predicting, and Engineering Cellular States”</em></strong> will be held on <strong>October 29-30, 2026</strong>, at the <strong>Olympic Museum in Lausanne</strong>.<br>\r\n<br>\r\nThis international gathering will bring together leading scientists in single-cell analysis, computational modeling, and cellular engineering to explore how recent breakthroughs in multi-omics technologies, predictive algorithms, and synthetic biology are reshaping our understanding of cellular function.<br>\r\n<br>\r\nThrough interdisciplinary talks and discussions, the symposium will spotlight advances in single-cell multi-modal data integration, predictive modeling of cell identity and behavior, and the engineering of synthetic cell states. By connecting researchers across experimental and computational domains, the event aims to establish new conceptual and technological frameworks for modeling and controlling cellular systems.<br>\r\n<br>\r\nHosted by <strong>EPFL</strong>, the symposium will foster scientific exchange, spark new collaborations, and accelerate progress toward next-generation cell-based therapies, disease models, and synthetic biological innovations.<br>\r\n<br>\r\nJoin us in Lausanne to connect with the global community shaping the future of cell understanding and engineering.<br>\r\n<br>\r\n<strong>SPEAKERS:</strong><br>\r\n• <strong>Gray Camp</strong> – Research Group Leader at the Roche Institute for Translational Bioengineering (ITB) in Basel<br>\r\n• <strong>Barbara Engelhardt</strong> – Senior Investigator, Gladstone Institutes & Professor, Department of Biomedical Data Science at Stanford University<br>\r\n• <strong>Jeremy Gunawardena</strong> – Professor, Department of Medicine and Life Sciences (MELIS), Pompeu Fabra University, Barcelona<br>\r\n• <strong>Muzlifah Haniffa</strong> – Head of the Cellular Genomics Programme and Deputy Director of the Wellcome Sanger Institute and Professor of Clinical Dermatology at the University of Cambridge<br>\r\n• <strong>Anshul Kundaje</strong> – Associate Professor of Genetics and Computer Science at Stanford University<br>\r\n• <strong>Prisca Liberali </strong>– Professor at the Department of Biosystems Science and Engineering, ETHZ & Senior Group Leader at the Friedrich Miescher Institute for Biomedical Research<br>\r\n• <strong>Ewa Paluch</strong> – Professor of Anatomy in the Department of Physiology, Development and Neuroscience and Fellow of Trinity College at the University of Cambridge<br>\r\n• <strong>Steve Quake</strong> – Professor of Bioengineering and Applied Physics, Stanford University<br>\r\n• <strong>Sussane Rafelski</strong> – Sr. Director, Quantitative Biology at the Allen Institute for Cell Science<br>\r\n• <strong>Kevin Tsia</strong> – Professor in the Department of Electrical and Electronic Engineering and the Program Director of the Biomedical Engineering Program at the University of Hong Kong<br>\r\n• <strong>Bo Wang</strong> – Chief AI Scientist, Vector Institute & Assistant Professor, University of Toronto<br>\r\n<br>\r\nGenerously supported by\r\n</p><div class=\"wp-block-image\"><img alt=\"\" decoding=\"async\" height=\"147\" sizes=\"(max-width: 343px) 100vw, 343px\" src=\"https://www.epfl.ch/labs/deplanckelab/wp-content/uploads/2025/11/Fondation-Latsis-logo.png\" srcset=\"https://www.epfl.ch/labs/deplanckelab/wp-content/uploads/2025/11/Fondation-Latsis-logo.png 343w, https://www.epfl.ch/labs/deplanckelab/wp-content/uploads/2025/11/Fondation-Latsis-logo-300x129.png 300w\" width=\"343\"></div>", "image_description": "In a galaxy not so far, far away… Jakob J. Langer, Postdoctoral researcher, Lutolf Lab.", "creation_date": "2026-03-13T14:52:09", "last_modification_date": "2026-03-17T10:49:51", "link_label": "Registration link", "link_url": "https://latsis2026.epfl.ch/event/1/", "canceled": "False", "cancel_reason": "", "place_and_room": "Olympic Museum", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "<a href=\"https://www.epfl.ch/labs/deplanckelab/latsis-symposium-2026/epfl-latsis-symposium-2026-invited-speakers/\">SPEAKERS</a>", "organizer": "LATSIS Symposium 2026 Organizing Committee:<br>\r\nProf. Bart Deplancke, Prof. Maria Brbić and Prof. Giovanni D’Angelo", "contact": "<a href=\"mailto:[email protected]\">[email protected]</a>", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120078/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/111/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/416/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] }, { "id": 70903, "title": "lunch&LEARN: Learning with AI: Designing AI Tutors that foster learning in robotics and CS courses", "slug": "lunchlearn-learning-with-ai-designing-ai-tutors-th", "event_url": "https://memento.epfl.ch/event/lunchlearn-learning-with-ai-designing-ai-tutors-th", "visual_url": "https://memento.epfl.ch/image/32313/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32313/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32313/max-size.jpg", "lang": "en", "start_date": "2026-06-09", "end_date": "2026-06-09", "start_time": "12:15:00", "end_time": "13:00:00", "description": "<strong>// NEW DATE // This event has been rescheduled from 17 March to 9 June 2026!</strong><br>\r\n<br>\r\nHow can AI tutors be designed to support learning rather than shortcutting it?<br>\r\n<br>\r\nIn this presentation, Jérôme Brender (EPFL) will examine how undergraduate students learn with AI tutors in robotics and computer science courses.<br>\r\n<br>\r\nAcross multiple design iterations, he investigated how features such as course-grounded retrieval (RAG), Socratic questioning, and real-time prompt feedback, and debate chatbot, shape students’ engagement, prompting behavior, and learning outcomes.<br>\r\n<br>\r\nHis work focuses on how AI tutors can help students better understand course concepts and become more reflective and effective users of AI tools. The findings provide insights into designing AI tutors that foster critical thinking and support sustainable learning practices.", "image_description": "", "creation_date": "2026-01-21T13:49:42", "last_modification_date": "2026-03-10T14:15:23", "link_label": "Registration/zoom", "link_url": "https://epfl.zoom.us/meeting/register/4V57FBxZR-uhyymvvps-6g", "canceled": "False", "cancel_reason": "", "place_and_room": "ME B1 10", "url_place_and_room": "https://plan.epfl.ch/?room==ME%20B1%2010", "url_online_room": "https://epfl.zoom.us/meeting/register/4V57FBxZR-uhyymvvps-6g", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "<a href=\"https://people.epfl.ch/jerome.brender?lang=en\">Jérôme Brender</a>", "organizer": "Center LEARN", "contact": "[email protected]", "is_internal": "True", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "lunch&LEARN, Center LEARN, teaching, learning", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119400/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/416/?format=api", "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/3/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/323/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/85/?format=api", "https://memento.epfl.ch/api/v1/mementos/65/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/417/?format=api" ] }, { "id": 70954, "title": "SpectroDynamics 2026: Connecting Computational Spectroscopic Methods Across the Electromagnetic Spectrum", "slug": "spectrodynamics-2026-connecting-computational-sp-2", "event_url": "https://memento.epfl.ch/event/spectrodynamics-2026-connecting-computational-sp-2", "visual_url": "https://memento.epfl.ch/image/32342/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32342/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32342/max-size.jpg", "lang": "en", "start_date": "2026-09-07", "end_date": "2026-09-11", "start_time": null, "end_time": null, "description": "<p>You can apply to participate and find all the relevant information (speakers, abstracts, program,...) on the event website: <a href=\"https://www.cecam.org/workshop-details/spectrodynamics-2026-connecting-computational-spectroscopic-methods-across-the-electromagnetic-spectrum-1489\">https://www.cecam.org/workshop-details/spectrodynamics-2026-connecting-computational-spectroscopic-methods-across-the-electromagnetic-spectrum-1489</a>.<br>\r\n<br>\r\nRegistration is required to attend the full event, take part in the social activities and present a poster at the poster session (if any). However, the EPFL community is welcome to attend specific lectures without registration if the topic is of interest to their research. Do not hesitate to contact the <a href=\"mailto:[email protected]\">CECAM Event Manager</a> if you have any question.<br>\r\n<br>\r\n<strong>Description</strong><br>\r\n<br>\r\nLight provides one of the most detailed windows into molecules and matter. Modern light sources allow the probing of equilibrium and non-equilibrium phenomena with Å‐level spatial resolution and femto‐ to attosecond temporal precision. Advances in ultrafast laser technology, together with the rise of X-ray free‐electron lasers and next-generation synchrotron sources, have repeatedly pushed the boundaries of spectroscopic methods from low‐frequency collective modes in biomolecules to electronic and core‐level dynamics. An extensive toolbox of linear and multidimensional spectroscopic techniques now spans the entire electromagnetic spectrum. Terahertz (THz) pulses can coherently drive intermolecular and lattice vibrations in solids and soft matter [1], Mid‐IR and Raman methods map vibrational energy (re)distribution in liquids and vibrational signatures of individual modes in complex molecules [2]. Visible spectroscopy tracks ultrafast charge dynamics in chromophores [3] and photochemical molecular pathways [4], while X-ray sources from free-electron lasers and high-harmonic generation setups enabled time-resolved X-ray diffraction of gas‐phase [5] and condensed systems [6].<br>\r\nDespite sharing common scientific goals, the respective communities have traditionally operated in relative disconnection from each other, relying on different approximations, targeting different observables, and employing distinct numerical implementations. This disconnection manifests, among other symptoms, in the fact that schools, conferences, and workshops are often dedicated to a specific frequency window (e.g. IR spectroscopy) or to simulation methods targeting a class of specific processes (e.g. vibrational dynamics). Opportunities for dialogue and the building of a shared language are lacking. In fact, while preparing this proposal, it became evident that even foundational terms like ab initio or quantum dynamics carry different meanings across communities.<br>\r\nTo address this fragmentation, the proposed CECAM school brings together researchers from diverse backgrounds to foster mutual understanding and build lasting conceptual bridges. Over five days, participants will engage with both the theoretical foundations and practical implementations of spectroscopies across different communities. We will highlight the fact that despite their apparent differences, all spectroscopic methods can be traced back to a common starting point: a light–matter Hamiltonian that includes the quantum description of electronic, nuclear, and photonic degrees of freedom. From this unified framework, we will explore how different approximations—introduced at various stages—lead to the distinct theoretical approaches adopted in each field.<br>\r\nThe first part of the school will focus on approaches that solve the exact quantum molecular dynamics in reduced dimensionality. Within this framework, molecules are treated fully quantum-mechanically, while light is treated classically as an external perturbation within the dipole approximation. From the matter perspective, this means that the full electron + nuclear wavefunction is accessible, offering a great level of detail and information, and the accurate treatment of non-Born-Oppenheimer dynamics. From the light perspective, this means that spectroscopic signals are conveniently calculated via the response function approach (RFA) [7], which is however only valid in the weak field limit. Recently, the RFA has been used to design and simulate several spectroscopic signals of femtosecond molecular photochemistry using novel X-ray pulse sources [8], including stimulated X-ray Raman [9], transient X-ray absorption and transmission [10], and many others [11].<br>\r\nIn the second part, we will shift the focus to longer time scales with more degrees of freedom and study larger molecules in explicit environments (solvent, substrate, etc). In these cases, it is common practice to apply the Born-Oppenheimer approximation and take the classical limit for the nuclei, while keeping the electrons quantum, leading to (finite temperature) molecular dynamics (MD) approaches. To make these simulations computationally tractable, while retaining an explicit description of the electrons, electron–electron interactions are typically simplified using ground-state density functional theory (DFT). This approach, commonly referred to as ab initio molecular dynamics (AIMD), enables the simulation of vibrational spectroscopies such as infrared (IR) and Raman [12,13], as well as surface-specific techniques like sum-frequency generation (SFG) [14,15]. To access larger system sizes and longer simulation timescales, forces can be derived from classical interatomic potentials, facilitating the convergence of multidimensional spectroscopic observables such as THz-Raman spectra [16]. Alternatively, forces can be learned directly from first-principles data using machine-learning (ML) models, enabling ML-driven molecular dynamics and spectroscopy [17-21]. Through path integral techniques, the quantum nature of the nuclei can be recovered, which is particularly important for systems containing light atoms, such as hydrogen [22-24].<br>\r\nThe third part of the school will explore what happens when the primary interest shifts from vibrational to electronic dynamics. In this context, the electron dynamics at the DFT level can be incorporated by considering its time-dependent version (TDDFT), where the exchange-correlation functionals are usually adiabatic. With this method, UV-visible absorption [25], circular dichroism [26], inelastic X-ray scattering, and electron energy loss [27], and other spectroscopies can be computed. Finally, there are situations in which strong light-matter coupling demands an explicit treatment of the photons [28]. These can be reintroduced either by dressing the Kohn-Sham Hamiltonian with electron-photon exchange-correlation potentials (known as quantum-electrodynamics DFT, or QEDFT) [29] or by a semiclassical treatment of the photons solving Maxwell’s equations (the Maxwell-TDDFT method)[30]. These methods enable the calculation of spectra in cavities or arbitrary electromagnetic environments [31], and can account for polaritonic phenomena, radiative lifetimes, superradiance, and many more.<br>\r\nThis school brings together leading experts from exact quantum dynamics, ab initio MD, ML‐enabled simulations, and Maxwell–TDDFT to forge a common language and cross‐fertilize ideas. Lectures will cover both the fundamental principles and the latest advances in each area, highlighting current applications and open challenges. Complementing the lectures, hands-on tutorials will reinforce foundational concepts and provide important hands-on experience on several popular computational approaches (see hands-on section below).<br>\r\nBy spanning the electromagnetic spectrum and the hierarchy of theoretical methods, this school will equip PhD students and postdocs with a unified, multi‐scale, and inter-community perspective on quantum dynamics and spectroscopy. Participants will leave with both a solid grounding in foundational techniques and direct experience of the latest computational frontiers, ready to tackle open challenges in molecular and materials science.<br>\r\n<br>\r\n<strong>References</strong><br>\r\n<br>\r\n<a href=\"https://doi.org/10.1063/1.4901216\" target=\"_blank\">[1] P. Hamm, The Journal of Chemical Physics, <strong>141</strong>, (2014)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.jctc.3c00967\" target=\"_blank\">[2] M. Svendsen, K. Thygesen, A. Rubio, J. Flick, J. Chem. Theory Comput., <strong>20</strong>, 926-936 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1103/physrevb.111.085114\" target=\"_blank\">[3] F. Bonafé, E. Albar, S. Ohlmann, V. Kosheleva, C. Bustamante, F. Troisi, A. Rubio, H. Appel, Phys. Rev. B, <strong>111</strong>, 085114 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1103/physreva.90.012508\" target=\"_blank\">[4] M. Ruggenthaler, J. Flick, C. Pellegrini, H. Appel, I. Tokatly, A. Rubio, Phys. Rev. A, <strong>90</strong>, 012508 (2014)</a><br>\r\n<a href=\"https://doi.org/10.1021/acsphotonics.9b00768\" target=\"_blank\">[5] J. Flick, D. Welakuh, M. Ruggenthaler, H. Appel, A. Rubio, ACS Photonics, <strong>6</strong>, 2757-2778 (2019)</a><br>\r\n<a href=\"https://doi.org/10.1063/1.3503594\" target=\"_blank\">[6] A. Sakko, A. Rubio, M. Hakala, K. Hämäläinen, The Journal of Chemical Physics, <strong>133</strong>, (2010)</a><br>\r\n<a href=\"https://doi.org/10.1039/b903200b\" target=\"_blank\">[7] D. Varsano, L. Espinosa-Leal, X. Andrade, M. Marques, R. di Felice, A. Rubio, Phys. Chem. Chem. Phys., <strong>11</strong>, 4481 (2009)</a><br>\r\n<a href=\"https://doi.org/10.1103/physrevb.54.4484\" target=\"_blank\">[8] K. Yabana, G. Bertsch, Phys. Rev. B, <strong>54</strong>, 4484-4487 (1996)</a><br>\r\n<a href=\"https://doi.org/10.1039/c9fd00056a\" target=\"_blank\">[9] Y. Litman, J. Behler, M. Rossi, Faraday Discuss., <strong>221</strong>, 526-546 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1146/annurev-physchem-090722-124705\" target=\"_blank\">[10] S. Althorpe, Annual Review of Physical Chemistry, <strong>75</strong>, 397-420 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.chemrev.5b00674\" target=\"_blank\">[11] M. Ceriotti, W. Fang, P. Kusalik, R. McKenzie, A. Michaelides, M. Morales, T. Markland, Chem. Rev., <strong>116</strong>, 7529-7550 (2016)</a><br>\r\n<a href=\"https://doi.org/10.1039/c7sc02267k\" target=\"_blank\">[12] M. Gastegger, J. Behler, P. Marquetand, Chem. Sci., <strong>8</strong>, 6924-6935 (2017)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.jpca.1c10417\" target=\"_blank\">[13] R. Han, R. Ketkaew, S. Luber, J. Phys. Chem. A, <strong>126</strong>, 801-812 (2022)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.jpclett.3c00398\" target=\"_blank\">[14] K. Inoue, Y. Litman, D. Wilkins, Y. Nagata, M. Okuno, J. Phys. Chem. Lett., <strong>14</strong>, 3063-3068 (2023)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.jpclett.8b00133\" target=\"_blank\">[15] T. Morawietz, O. Marsalek, S. Pattenaude, L. Streacker, D. Ben-Amotz, T. Markland, J. Phys. Chem. Lett., <strong>9</strong>, 851-857 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.jpclett.3c01989\" target=\"_blank\">[16] Y. Litman, J. Lan, Y. Nagata, D. Wilkins, J. Phys. Chem. Lett., <strong>14</strong>, 8175-8182 (2023)</a><br>\r\n<a href=\"https://doi.org/10.1364/aop.8.000401\" target=\"_blank\">[17] D. Nicoletti, A. Cavalleri, Adv. Opt. Photon., <strong>8</strong>, 401 (2016)</a><br>\r\n<a href=\"https://doi.org/10.1063/1.4931106\" target=\"_blank\">[18] T. Ohto, K. Usui, T. Hasegawa, M. Bonn, Y. Nagata, The Journal of Chemical Physics, <strong>143</strong>, (2015)</a><br>\r\n<a href=\"https://doi.org/10.1021/jz301858g\" target=\"_blank\">[19] M. Sulpizi, M. Salanne, M. Sprik, M. Gaigeot, J. Phys. Chem. Lett., <strong>4</strong>, 83-87 (2012)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.jpclett.7b00391\" target=\"_blank\">[20] O. Marsalek, T. Markland, J. Phys. Chem. Lett., <strong>8</strong>, 1545-1551 (2017)</a><br>\r\n<a href=\"https://doi.org/10.1021/ct2000952\" target=\"_blank\">[21] C. Zhang, D. Donadio, F. Gygi, G. Galli, J. Chem. Theory Comput., <strong>7</strong>, 1443-1449 (2011)</a><br>\r\n<a href=\"https://doi.org/10.1146/annurev-physchem-062322-051532\" target=\"_blank\">[22] D. Keefer, S. Cavaletto, J. Rouxel, M. Garavelli, H. Yong, S. Mukamel, Annu. Rev. Phys. Chem., <strong>74</strong>, 73-97 (2023)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.jctc.3c00062\" target=\"_blank\">[23] S. Cavaletto, Y. Nam, J. Rouxel, D. Keefer, H. Yong, S. Mukamel, J. Chem. Theory Comput., <strong>19</strong>, 2327-2339 (2023)</a><br>\r\n<a href=\"https://doi.org/10.1073/pnas.2015988117\" target=\"_blank\">[24] D. Keefer, T. Schnappinger, R. de Vivie-Riedle, S. Mukamel, Proc. Natl. Acad. Sci. U.S.A., <strong>117</strong>, 24069-24075 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.chemrev.7b00081\" target=\"_blank\">[25] M. Kowalewski, B. Fingerhut, K. Dorfman, K. Bennett, S. Mukamel, Chem. Rev., <strong>117</strong>, 12165-12226 (2017)</a><br>\r\n[26] Shaul Mukamel, Principles of nonlinear optical spectroscopy, Oxford University Press, New York 1995<br>\r\n<a href=\"https://doi.org/10.1038/s41586-020-2417-3\" target=\"_blank\">[27] J. Kim, S. Nozawa, H. Kim, E. Choi, T. Sato, T. Kim, K. Kim, H. Ki, J. Kim, M. Choi, Y. Lee, J. Heo, K. Oang, K. Ichiyanagi, R. Fukaya, J. Lee, J. Park, I. Eom, S. Chun, S. Kim, M. Kim, T. Katayama, T. Togashi, S. Owada, M. Yabashi, S. Lee, S. Lee, C. Ahn, D. Ahn, J. Moon, S. Choi, J. Kim, T. Joo, J. Kim, S. Adachi, H. Ihee, Nature, <strong>582</strong>, 520-524 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1103/physrevlett.114.255501\" target=\"_blank\">[28] M. Minitti, J. Budarz, A. Kirrander, J. Robinson, D. Ratner, T. Lane, D. Zhu, J. Glownia, M. Kozina, H. Lemke, M. Sikorski, Y. Feng, S. Nelson, K. Saita, B. Stankus, T. Northey, J. Hastings, P. Weber, Phys. Rev. Lett., <strong>114</strong>, 255501 (2015)</a><br>\r\n<a href=\"https://doi.org/10.1038/nature09346\" target=\"_blank\">[29] D. Polli, P. Altoè, O. Weingart, K. Spillane, C. Manzoni, D. Brida, G. Tomasello, G. Orlandi, P. Kukura, R. Mathies, M. Garavelli, G. Cerullo, Nature, <strong>467</strong>, 440-443 (2010)</a><br>\r\n<a href=\"https://doi.org/10.1039/d2fd00014h\" target=\"_blank\">[30] D. Brey, R. Binder, R. Martinazzo, I. Burghardt, Faraday Discuss., <strong>237</strong>, 148-167 (2022)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.chemrev.9b00813\" target=\"_blank\">[31] C. Baiz, B. Błasiak, J. Bredenbeck, M. Cho, J. Choi, S. Corcelli, A. Dijkstra, C. Feng, S. Garrett-Roe, N. Ge, M. Hanson-Heine, J. Hirst, T. Jansen, K. Kwac, K. Kubarych, C. Londergan, H. Maekawa, M. Reppert, S. Saito, S. Roy, J. Skinner, G. Stock, J. Straub, M. Thielges, K. Tominaga, A. Tokmakoff, H. Torii, L. Wang, L. Webb, M. Zanni, Chem. Rev., <strong>120</strong>, 7152-7218 (2020)</a></p>", "image_description": "", "creation_date": "2026-01-26T15:20:44", "last_modification_date": "2026-01-26T16:44:05", "link_label": "SpectroDynamics 2026: Connecting Computational Spectroscopic Methods Across the Electromagnetic Spec", "link_url": "https://www.cecam.org/workshop-details/spectrodynamics-2026-connecting-computational-spectroscopic-methods-across-the-electromagnetic-spectrum-1489", "canceled": "False", "cancel_reason": "", "place_and_room": "BCH 2103", "url_place_and_room": "https://plan.epfl.ch/?room==BCH%202103", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<strong>Franco Bonafé</strong>, Max Planck Institute for the Structure and Dynamics of Matter ; <strong>Daniel Keefer,</strong> Max Planck Institute for Polymer Research ; <strong>Yair Litman</strong>, Max Planck Institute for Polymer Research", "contact": "<a href=\"mailto:[email protected]\"><strong>Cornelia Bujenita</strong></a>, CECAM Events and Operations Manager", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119447/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] }, { "id": 71019, "title": "Summer School in Image Analysis", "slug": "summer-school-in-image-analysis-2", "event_url": "https://memento.epfl.ch/event/summer-school-in-image-analysis-2", "visual_url": "https://memento.epfl.ch/image/32406/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32406/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32406/max-size.jpg", "lang": "en", "start_date": "2026-06-08", "end_date": "2026-06-12", "start_time": null, "end_time": null, "description": "<p>A hands-on introduction to the key concepts in image analysis for your everyday research! <br>\r\n<br>\r\nOpen to PhD students from all doctoral programs at EPFL, Swiss academic institutions and ETH domain.<br>\r\n<br>\r\n<strong>June 8 to 12 2026 </strong><br>\r\n<strong>Palace de Caux, Montreux</strong><br>\r\nPre-summer school Workshop will take place on June 4, 2026 (afternoon)<br>\r\n<br>\r\n<strong><a href=\"https://imaging.epfl.ch/summer-school\">More info</a></strong><br>\r\n<strong><a href=\"https://docs.google.com/forms/d/e/1FAIpQLSdtHQLlAolAnXJHI5BKbgJXUJA5F6seAPbIOT7W1zKvkZ90wQ/viewform?usp=header\">Application</a></strong> Deadline: March 1, 2026<br>\r\n<br>\r\nAre you a PhD student at EPFL, at another swiss academic institution or within the ETH domaine who regularly faces questions regarding the analysis of your images ? Do you want to learn more about practical concepts and tools to help you in this endeavor? Then our summer school in image analysis is for you! Throughout the week, a series of lectures will provide you with the essential concepts in image analysis – from the nature of digital images through the physics of image acquisition to the basics of deep learning, and more. In addition to these lectures, you will learn to use some popular image-analysis software during practical sessions.</p>", "image_description": "", "creation_date": "2026-02-03T09:47:28", "last_modification_date": "2026-02-03T10:01:52", "link_label": "Summer School in Imaging", "link_url": "https://imaging.epfl.ch/summer-school", "canceled": "False", "cancel_reason": "", "place_and_room": "Palace de Caux, Montreux", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<a href=\"https://imaging.epfl.ch/\">Center for Imaging</a>", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119553/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/4/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/284/?format=api" ] }, { "id": 70950, "title": "Theoretical Realisation of Quantum Phenomena In Computational Materials Discovery", "slug": "theoretical-realisation-of-quantum-phenomena-in--2", "event_url": "https://memento.epfl.ch/event/theoretical-realisation-of-quantum-phenomena-in--2", "visual_url": "https://memento.epfl.ch/image/32338/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32338/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32338/max-size.jpg", "lang": "en", "start_date": "2026-06-22", "end_date": "2026-06-24", "start_time": null, "end_time": null, "description": "<p>You can apply to participate and find all the relevant information (speakers, abstracts, program,...) on the event website: <a href=\"https://www.cecam.org/workshop-details/theoretical-realisation-of-quantum-phenomena-in-computational-materials-discovery-1485\">https://www.cecam.org/workshop-details/theoretical-realisation-of-quantum-phenomena-in-computational-materials-discovery-1485</a>.<br>\r\n<br>\r\nRegistration is required to attend the full event, take part in the social activities and present a poster at the poster session (if any). However, the EPFL community is welcome to attend specific lectures without registration if the topic is of interest to their research. Do not hesitate to contact the <a href=\"mailto:[email protected]\">CECAM Event Manager</a> if you have any question.<br>\r\n<br>\r\n<strong>Description</strong><br>\r\n<br>\r\nQuantum phenomena in materials underpin a range of emerging technologies, including spin-based quantum technologies, efficient energy transport materials and ultra-narrow bandwidth lasers.<sup>1,2,3</sup> Emergent behaviour such as quantum magnetism, superconductivity and superradiance<sup>4</sup> arise from the complex interplay between electronic and structural properties; electronic features including strong electron correlation, spin-orbit coupling and reduced dimensionality can lead to phenomena such as unconventional superconductivity and room-temperature spin coherences, whilst structural factors such as crystal symmetry, doping concentrations and Moiré twist patterns are pivotal in shaping these quantum characteristics.<sup>5,6</sup> Computational quantum materials discovery requires both highly advanced theoretical models of the electronic structure and high-throughput approaches for identifying stable crystal structures and predicting their properties.<sup>3,7</sup><br>\r\nStrongly correlated electrons, ubiquitous in quantum materials, challenge conventional density functional theory (DFT). Quantum embedding methods, such as Density Matrix Embedding Theory (DMET) and Quantum Defect Embedding Theory (QDET), are powerful tools for describing strongly correlated electronic states in materials. QDET solves an effective Hamiltonian for a strongly-correlated subset of DFT orbitals using full configuration interaction, parameterized via a Green's function approach.<sup>8</sup> DMET, however, maps the solid-state problem onto a self-consistent quantum impurity coupled to a mean-field bath, with the impurity solved by high-level methods.<sup>9</sup> The application of these advanced techniques is rapidly growing, from analysing superconducting cuprates to describing quantum spin defects in semiconductors.<sup>8,9</sup><br>\r\nModel Hamiltonians, such as the multi-band Hubbard model, are increasingly used to describe the low-energy physics of quantum materials.<sup>10</sup> While the constrained random phase approximation is the traditional choice for parametrising these models,<sup>11</sup> the newly developed moment-conserved RPA may offer superior accuracy by conserving instantaneous two-point correlation functions.<sup>12,13</sup> Powerful numerical techniques like Determinant Quantum Monte Carlo have recently been pioneered for solving the model Hamiltonian and predicting quantum phenomena such as pairing susceptibilities.<sup>14</sup><br>\r\nSuch theoretical methods are also essential for computational discovery of spin defects in semiconductors, a promising platform for room-temperature qubits.<sup>3,15</sup> Advanced theoretical treatments are essential to predict defect electronic, magnetic, and optical properties, incorporating effects like spin-orbit and spin-phonon coupling which determine spin coherence and optical manipulation characteristics. The current state-of-the-art combines DFT studies of semiconductor bulk properties with ab initio treatments of the defect; quantum embedding methods are emerging as a promising alternative.<sup>16,17</sup><br>\r\nGiven the immense diversity of materials, high-throughput screening is a cornerstone of modern materials discovery. DFT, particularly with state-of-the-art approximations like r2SCAN+rVV10, remains the workhorse for reliably determining material structures; such calculations often offer critical insight into both a systems stability and electronic structure.<sup>7,18,19,20</sup> Machine learning (ML) is transforming materials discovery by slashing the computational cost of such calculations, allowing a wider exploration of composition space.<sup>21,22</sup><br>\r\nComputational quantum materials modelling is advancing rapidly, however reconciling methods treating strongly correlated electrons with computational workflows employed in modern materials discovery remains relatively unexploited. The synergy of advanced theory, high-performance computing and ML has the potential to drive breakthroughs in quantum materials discovery and accelerate development of emerging technologies, from novel qubit platforms to room-temperature superconductors.<br>\r\n<br>\r\n<strong>References</strong><br>\r\n<br>\r\n<a href=\"https://doi.org/10.1103/physrevlett.132.076401\" target=\"_blank\">[1] C. Scott, G. Booth, Phys. Rev. Lett., <strong>132</strong>, 076401 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41524-025-01554-0\" target=\"_blank\">[2] X. Jiang, W. Wang, S. Tian, H. Wang, T. Lookman, Y. Su, npj. Comput. Mater., <strong>11</strong>, 79 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.triboint.2024.110438\" target=\"_blank\">[3] S. Giaremis, M. Righi, Tribology International, <strong>204</strong>, 110438 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41524-024-01437-w\" target=\"_blank\">[4] Z. Zhu, J. Park, H. Sahasrabuddhe, A. Ganose, R. Chang, J. Lawson, A. Jain, npj. Comput. Mater., <strong>10</strong>, 258 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1002/jcc.26353\" target=\"_blank\">[5] R. Nelson, C. Ertural, J. George, V. Deringer, G. Hautier, R. Dronskowski, J. Comput. Chem., <strong>41</strong>, 1931-1940 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1021/acsmaterialsau.2c00059\" target=\"_blank\">[6] M. Kothakonda, A. Kaplan, E. Isaacs, C. Bartel, J. Furness, J. Ning, C. Wolverton, J. Perdew, J. Sun, ACS Mater. Au, <strong>3</strong>, 102-111 (2022)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41524-025-01547-z\" target=\"_blank\">[7] V. Briganti, A. Lunghi, npj. Comput. Mater., <strong>11</strong>, 62 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.jpclett.5c00355\" target=\"_blank\">[8] A. Kundu, F. Martinelli, G. Galli, J. Phys. Chem. Lett., <strong>16</strong>, 1973-1979 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1557/s43577-023-00659-5\" target=\"_blank\">[9] A. Gali, A. Schleife, A. Heinrich, A. Laucht, B. Schuler, C. Chakraborty, C. Anderson, C. Déprez, J. McCallum, L. Bassett, M. Friesen, M. Flatté, P. Maurer, S. Coppersmith, T. Zhong, V. Begum-Hudde, Y. Ping, MRS Bulletin, <strong>49</strong>, 256-276 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1073/pnas.2408717121\" target=\"_blank\">[10] P. Mai, B. Cohen-Stead, T. Maier, S. Johnston, Proc. Natl. Acad. Sci. U.S.A., <strong>121</strong>, (2024)</a><br>\r\n<a href=\"https://doi.org/10.1103/physrevb.108.064511\" target=\"_blank\">[11] C. Pellegrini, C. Kukkonen, A. Sanna, Phys. Rev. B, <strong>108</strong>, 064511 (2023)</a><br>\r\n<a href=\"https://doi.org/10.1186/s40712-024-00202-7\" target=\"_blank\">[12] R. Goyal, S. Maharaj, P. Kumar, M. Chandrasekhar, J Mater. Sci: Mater Eng., <strong>20</strong>, 4 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41524-024-01314-6\" target=\"_blank\">[13] Y. Chang, E. van Loon, B. Eskridge, B. Busemeyer, M. Morales, C. Dreyer, A. Millis, S. Zhang, T. Wehling, L. Wagner, M. Rösner, npj. Comput. Mater., <strong>10</strong>, 129 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1103/physrevx.15.021049\" target=\"_blank\">[14] H. Padma, J. Thomas, S. TenHuisen, W. He, Z. Guan, J. Li, B. Lee, Y. Wang, S. Lee, Z. Mao, H. Jang, V. Bisogni, J. Pelliciari, M. Dean, S. Johnston, M. Mitrano, Phys. Rev. X, <strong>15</strong>, 021049 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41467-025-56883-x\" target=\"_blank\">[15] Z. Cui, J. Yang, J. Tölle, H. Ye, S. Yuan, H. Zhai, G. Park, R. Kim, X. Zhang, L. Lin, T. Berkelbach, G. Chan, Nat. Commun., <strong>16</strong>, 1845 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.jpclett.5c00287\" target=\"_blank\">[16] L. Otis, Y. Jin, V. Yu, S. Chen, L. Gagliardi, G. Galli, J. Phys. Chem. Lett., <strong>16</strong>, 3092-3099 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1039/d5dd00019j\" target=\"_blank\">[17] A. Ganose, H. Sahasrabuddhe, M. Asta, K. Beck, T. Biswas, A. Bonkowski, J. Bustamante, X. Chen, Y. Chiang, D. Chrzan, J. Clary, O. Cohen, C. Ertural, M. Gallant, J. George, S. Gerits, R. Goodall, R. Guha, G. Hautier, M. Horton, T. Inizan, A. Kaplan, R. Kingsbury, M. Kuner, B. Li, X. Linn, M. McDermott, R. Mohanakrishnan, A. Naik, J. Neaton, S. Parmar, K. Persson, G. Petretto, T. Purcell, F. Ricci, B. Rich, J. Riebesell, G. Rignanese, A. Rosen, M. Scheffler, J. Schmidt, J. Shen, A. Sobolev, R. Sundararaman, C. Tezak, V. Trinquet, J. Varley, D. Vigil-Fowler, D. Wang, D. Waroquiers, M. Wen, H. Yang, H. Zheng, J. Zheng, Z. Zhu, A. Jain, Digital Discovery, (2025)</a><br>\r\n<a href=\"https://doi.org/10.1002/adma.202106909\" target=\"_blank\">[18] W. Ko, Z. Gai, A. Puretzky, L. Liang, T. Berlijn, J. Hachtel, K. Xiao, P. Ganesh, M. Yoon, A. Li, Advanced Materials, <strong>35</strong>, (2022)</a><br>\r\n<a href=\"https://doi.org/10.1126/science.adg0014\" target=\"_blank\">[19] L. Du, M. Molas, Z. Huang, G. Zhang, F. Wang, Z. Sun, Science, <strong>379</strong>, (2023)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-023-07001-8\" target=\"_blank\">[20] C. Zhu, S. Boehme, L. Feld, A. Moskalenko, D. Dirin, R. Mahrt, T. Stöferle, M. Bodnarchuk, A. Efros, P. Sercel, M. Kovalenko, G. Rainò, Nature, <strong>626</strong>, 535-541 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1515/nanoph-2022-0723\" target=\"_blank\">[21] Á. Gali, Nanophotonics, <strong>12</strong>, 359-397 (2023)</a><br>\r\n<a href=\"https://doi.org/10.3389/fmats.2024.1343005\" target=\"_blank\">[22] V. Harris, P. Andalib, Front. Mater., <strong>11</strong>, (2024)</a></p>", "image_description": "", "creation_date": "2026-01-26T14:46:04", "last_modification_date": "2026-01-26T16:42:30", "link_label": "Theoretical Realisation of Quantum Phenomena In Computational Materials Discovery", "link_url": "https://www.cecam.org/workshop-details/theoretical-realisation-of-quantum-phenomena-in-computational-materials-discovery-1485", "canceled": "False", "cancel_reason": "", "place_and_room": "BCH 2103", "url_place_and_room": "https://plan.epfl.ch/?room==BCH%202103", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<strong>Petros-Panagis Filippatos, </strong>University of Nottingham ; <strong>Katherine Inzani, </strong>University of Nottingham ; <strong>Tom Irons, </strong>University of Nottingham ; <strong>Connor Williamson, </strong>University of Nottingham", "contact": "<a href=\"mailto:[email protected]\"><strong>Cornelia Bujenita</strong></a>, CECAM Events and Operations Manager", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119440/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/442/?format=api" ] }, { "id": 70951, "title": "Toward Intelligent Behavior in Macroscopic Active Matter", "slug": "toward-intelligent-behavior-in-macroscopic-active", "event_url": "https://memento.epfl.ch/event/toward-intelligent-behavior-in-macroscopic-active", "visual_url": "https://memento.epfl.ch/image/32339/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32339/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32339/max-size.jpg", "lang": "en", "start_date": "2026-07-06", "end_date": "2026-07-10", "start_time": null, "end_time": null, "description": "<p>You can apply to participate and find all the relevant information (speakers, abstracts, program,...) on the event website: <a href=\"https://www.cecam.org/workshop-details/toward-intelligent-behavior-in-macroscopic-active-matter-1481\">https://www.cecam.org/workshop-details/toward-intelligent-behavior-in-macroscopic-active-matter-1481</a>.<br>\r\n<br>\r\nRegistration is required to attend the full event, take part in the social activities and present a poster at the poster session (if any). However, the EPFL community is welcome to attend specific lectures without registration if the topic is of interest to their research. Do not hesitate to contact the <a href=\"mailto:[email protected]\">CECAM Event Manager</a> if you have any question.<br>\r\n<br>\r\n<strong>Description</strong><br>\r\n<br>\r\nActive matter has emerged as a central framework for understanding systems composed of self-driven units across scales, ranging from molecular motors and cytoskeletal filaments to animal groups and robotic swarms. Initially, many foundational models focused on macroscopic agents – such as flocks, swarms, and driven granular particles – where simple interaction rules give rise to rich collective phenomena. However, over the past two decades, much of the focus has shifted toward microscopic and mesoscopic active systems, especially in soft and biological matter, supported by the technological development of high-resolution imaging, force measurement, and microfabrication. These advances have driven a more refined theoretical understanding, connecting microscopic dynamics with hydrodynamic and continuum-scale descriptions, and have found applications in biophysics, material science, and cellular biology. <br>\r\nIn parallel, yet often semi-independently, active matter concepts have flourished in ecological and robotic systems. In these domains, the agents – be they insects, birds, autonomous vehicles, or soft robots – not only self-propel and interact, but also sense their environments, make decisions, and adapt their behavior. These systems extend the classical framework of active matter by incorporating elements of intelligence, information processing, and environmental feedback. Notably, such systems can operate far from equilibrium and exhibit coordinated behavior that seems tuned for functional outcomes – navigation, foraging, or collective decision-making.<br>\r\nThese trends point toward a convergence: macroscopic active matter systems capable of intelligent, adaptive, or programmable behavior. This includes both natural systems (e.g., flocking insects, social insects, animal herds) and artificial systems (e.g., modular robots, programmable matter, active granular agents). The interplay of self-propulsion, interaction rules, information exchange, learning or memory, and system-level feedback opens exciting new directions for both fundamental science and applications. Recent efforts in this space combine techniques from statistical physics, nonlinear dynamics, robotics, and machine learning.<br>\r\nHowever, the communities working on these different aspects of active matter – soft matter physicists, ecologists, roboticists, and complexity scientists – remain fragmented, with limited opportunity for sustained dialogue. Bridging these communities is essential to develop a shared language, identify unifying principles, and guide the development of new experimental platforms and theoretical frameworks.<br>\r\n<br>\r\n<strong>References</strong><br>\r\n<br>\r\n<a href=\"https://doi.org/10.1038/s41586-024-08514-6\" target=\"_blank\">[1] F. Gu, B. Guiselin, N. Bain, I. Zuriguel, D. Bartolo, Nature, <strong>638</strong>, 112-119 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1126/scirobotics.aav7874\" target=\"_blank\">[2] A. Rafsanjani, K. Bertoldi, A. Studart, Sci. 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