The EPFL AI Center is delighted to invite you to join the exchange session about the Research Computing Platform (RCP).
\r\n
\r\nAre you building, training ML models? Are you currently facing challenges regarding IT infrastructure, and looking for reliable, collaborative, high-capacity, and affordable storage solutions to manage your research data? Are you seeking information about the computing costs?
\r\n
\r\nThe Research Computing Platform (RCP) offers campus-wide IT infrastructure geared for the research community. The offering includes a GPU infrastructure (> 400) aiming at making AI compute as accessible as possible throughout the campus.
\r\n
\r\nThis event will provide insights into the various services RCP offers to the EPFL research community.
\r\n
\r\nEvent Details:\r\n
Le self-leadership est un processus qui permet à une personne d’être plus à l’aise avec qui elle est, et qui l’amène à développer son potentiel et à construire une fondation solide à partir de laquelle toute décision – tant au niveau professionnel que personnel – peut être prise sereinement. Un bon niveau de self-leadership permet de s’épanouir à la fois dans sa propre personnalité et dans ses relations avec les autres, d’atteindre ses objectifs, et finalement, d’être un meilleur leader pour les autres.
\r\n
\r\nComment cet atelier peut vous aider: Les 3 piliers du self-leadership seront approfondis : la conscience de soi, la confiance en soi et la gestion de soi. En parallèle, ce séminaire encourage un espace de réflexion et de partage, dans lequel idées et stratégies sont échangées avec d’autres participant·e·s sur comment faire face et réussir dans des situations professionnelles souvent complexes et difficiles.
\r\n
\r\nJours 1 et 2 : 9h00 - 17h30
\r\nJour 3: 9h00 - 12h30
You can apply to participate and find all the relevant information (speakers, abstracts, program,...) on the event website: https://www.cecam.org/workshop-details/complex-fluids-at-interfaces-structure-stability-and-molecular-effects-1492.
\r\n
\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 CECAM Event Manager if you have any question.
\r\n
\r\nDescription
\r\n
\r\nComplex fluids are ubiquitous in biology, geophysics, and industry [1]. These materials are challenging to characterize and predict [1–4], particularly when they incorporate multiple interfaces, as in colloidal suspensions [4], foams [5–7], or nanoporous membranes [8–10]. Many of these interfaces are micro- or nano-scale and evolve over short times, which can obscure them to observation and pose challenges to experimentalists [2–5, 11, 12]. This opens exciting opportunities for a strong partnership between the development of novel theoretical, computational, and experimental techniques.
\r\nProbing interfaces presents unique challenges compared to probing complex fluids in the bulk. The interfacial structure and constitutive behavior then depend on the composition of two fluids as well as the interfacial configuration [13, 14]. Translating this increased complexity to a computational framework involves developing reliable models describing molecular interactions near fluid-fluid or fluid-solid interfaces [15–17], as well as models for continuum stresses [18]. Molecular modeling is necessary to reveal the physics of chemically-complex structures [17], but is computationally expensive, and it can be challenging to identify the relevant physics to include [19]. Yet the interface also provides unique opportunities for control: in liquid crystals, for example, interfacial stresses can be transmitted through the bulk, leading to novel pattern formation [20] and optical materials exploiting interfacial control [21]. Finally, interfaces are prone to instabilities, which can make flows unpredictable, but opens opportunities to exploit unstable growth for spontaneous patterning.
\r\nTo underscore the present challenges, even for a “simple” Newtonian fluid, the presence of an interface may hinder understanding of flow mechanics. For example, mechanisms for contact during drop impact are still debated [22]: molecular dynamics (MD) simulations can clarify which effects dominate among interfacial instabilities, electrostatic charge, gas-kinetic effects, and other driving forces [22–26], in addition to liquid/surface chemistry [27, 28]. Diffusive processes at interfaces [29] and nanoscale membrane flows, where osmotic and phoretic effects are significant [11, 30], also require further development in MD or coarse-grained models.
\r\n
\r\nThis workshop aims to foster exchanges around the following broad questions:\r\n