BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Memento EPFL// BEGIN:VEVENT SUMMARY:MARVEL Distinguished Lecture - Kristin Persson DTSTART:20210427T170000 DTEND:20210427T181500 DTSTAMP:20260408T005514Z UID:8ad6be3b459f39de5f2c354b8223c80e473070dcb34b3fce51ecb297 CATEGORIES:Conferences - Seminars DESCRIPTION:Kristin Persson\, University of California Berkeley\nhttps:// epfl.zoom.us/j/87281950299\nPasscode: 1351\n\nProf. Kristin Persson\nProfe ssor of Materials Science and Engineering at the University of California Berkeley (USA)\n\nThe Era of Data-Driven Materials Innovation and Design\n Fueled by our abilities to compute materials properties and characteristic s orders of magnitude faster than they can be measured and recent advancem ents in harnessing literature data\, we are entering the era of the fourth paradigm of science: data-driven materials design. The Materials Project (www.materialsproject.org) uses supercomputing together with state-of-the- art quantum mechanical theory to compute the properties of all known inorg anic materials and beyond\, design novel materials and offer the data for free to the community together with online analysis and design algorithms. The current release contains data derived from quantum mechanical calcula tions for over 130\,000 materials and millions of properties. The resource supports a growing community of data-rich materials research\, currently supporting over 160\,000 registered users and 2-5 million data records ser ved each day through the API. The software infrastructure enables thousand s of calculations per week – enabling screening and predictions - for bo th novel solid as well as molecular species with target properties.  Howe ver\, truly accelerating materials innovation also requires rapid synthesi s\, testing and feedback. The ability to devise data-driven methodologies to guide synthesis efforts is needed as well as rapid interrogation and re cording of results – including ‘non-successful’ ones. In this talk\, I will highlight some of our ongoing work\, including new materials devel opment\, synthesis and characterization and associated machine learning al gorithmic tools and data-driven approaches.\n\nAbout the speaker\nPersson  obtained her Ph.D. in Theoretical Physics at the Royal Institute of Tech nology in Stockholm\, Sweden in 2001. She is a Professor in Materials Scie nce and Engineering at UC Berkeley with a joint appointment as Senior Facu lty Scientist at the Lawrence Berkeley National Laboratory. She is also a member of the UC Berkeley Kavli-ENSI Energy Nanoscience Institute. Persso n is the Director and co-founder of the Materials Project (www.materialsp roject.org)\; one of the most visible of the Materials Genome Initiative ( MGI) funded programs attracting over a hundred thousand users worldwide. S he is a leader in the MGI community\, and is known for her advancement of data-driven materials design and advancement of materials informatics. Sh e is an Associate Editor for Chemistry of Materials and has received the 2 018 DOE Secretary of Energy’s Achievement Award\, the 2017 TMS Faculty Early Career Award\, the 2020 Falling Walls Science and Innovation Manag ement Award\,  the LBNL Director’s award for Exceptional Scientific Ac hievement (2013) and she is a 2018 Kavli Fellow. She holds several patent s in the clean energy space and has co-authored more than 200 peer-reviewe d publications.\n\n\nDid you miss previous MARVEL Distinguished Lectures?  You can watch them on the Materials Cloud dedicated page. LOCATION:https://epfl.zoom.us/j/87281950299?pwd=K080N0dIREFqMUJqN1BIclI0Zy 9LZz09 STATUS:CONFIRMED END:VEVENT END:VCALENDAR