Les mathématiques ont un rôle essentiel à jouer à l’EPFL en raison du large champ d’applications qui en découle, ce qui conduit à une utilisation croissante des modèles mathématiques par les scientifiques et les ingénieurs.

Les domaines mathématiques étudiés à l’EPFL sont divers, ce qui souligne la nécessité de maintenir des groupes de recherche forts dans le domaine des mathématiques fondamentales et appliquées ; les interactions qui en résultent peuvent stimuler la recherche en mathématiques fondamentales et en mathématiques appliquées, tout en faisant profiter directement d’autres domaines.

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8:00

18:00

GA 3 21

Big data and uncertainty quantification: statistical inference and information-theoretic techniques applied to computational chemistry

An incentive to use coarse-grained models is to use them for inference and control instead of the original (often intractable) model. Since coarse-grained models are always “wrong”, questions such as inference under model misspecification or goal-oriented uncertainty quantification (e.g. for control) come into play. This workshop will address such topics, with a special focus on predictive modelling, uncertainty quantification in molecular simulation and sensitivity analysis.

26 to 29 March 2019 - CIB premises (Room GA 3 21).
1 to 3 April 2019 - CECAM premises (Room BCH 3113).

Part of the Semester : Multi-scale Mathematical Modelling and Coarse-grain Computational Chemistry

Par:Carsten Hartmann, BTU Cottbus-Senftenberg Fabio Nobile, EPFL Frank Pinski, University of Cincinnati Tim Sullivan, Zuse Institute Berlin

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8:00

18:00

GA 3 21

Computational mathematics for model reduction and predictive modelling in molecular and complex systems

The workshop will address computational and theoretical issues in stochastic modeling and model reduction in molecular and complex systems. In particular, the program will include topics ranging from quantum to mesoscale modelling, with focus on uncertainty quantification, machine learning and approximate inference method, methods using both quantum and classical models, semiclassical limits and their computational aspect. Furthermore, the interplay between mathematical analysis, modeling and statistical physics and trade-offs between statistical (data-driven) learning and physicochemical modelling will be part of the discussions. The workshop aims at bringing together mathematicians and domain scientists interested in applications such as systems with excited states, empirical potentials, kinetic Monte Carlo methods and accelerated simulation methods determined from molecular dynamics, data assimilation and inference for predictive modeling of complex molecular systems. 

21 to 24 May 2019 - CIB premises (Room GA 3 21).
27 to 29 May 2019 - CECAM premises (Room BCH 3113).

Part of the Semester : Multi-scale Mathematical Modelling and Coarse-grain Computational Chemistry

Par:Markos Katsoulakis, University of Massachusetts Amherst Benedikt Leimkuhler, University of Edinburgh Petr Pelchac, University of Delaware Anders Szepessy, KTH Royal Institute of Technology

Young Topologists Meeting

The Young Topologists Meeting is an annual event for graduate students, recent PhDs and other junior researchers in topology (both pure and applied). Previous editions were organised by the University of Copenhagen, jointly by Stockholm University and the Royal Institute of Technology, and the EPFL. The Young Topologists Meeting 2019 will take place July 22-26 at the EPFL.

The meeting is intended as an opportunity for young researchers in topology to meet each other and share their work. In addition to short talks by the participants, the program will include two lecture series by:

  • Julie Bergner (University of Virginia)
  • Vidit Nanda (University of Oxford)

The organizers can be contacted at ytm2019@epfl.ch.

Par:participants, Julie Bergner, Vidit Nanda