Upcoming Events

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14:00

15:00

MED2 2423

On the coalescence of models with data for infrastructure assessment

This talk will be given in the frame of the SWICCOMAS General Assembly. The planning is:
14h – 15h Seminar by Eleni Chatzi, ETHZ
15h – 16h General Assembly
1.     SWICCOMAS board
2.     New ECCOMAS constitution
3.     SWICCOMAS price
4.     WCCM 2020, Paris
5.     Budget approval
6.       Short update by Prof. Eleni Chatzi, ECCOMAS Young Investigators.
16 – 17h Aperitif

By: Eleni Chatzi, Chair of Structural Mechanics, at the Institute of Structural Engineering, of the Department of Civil, Environmental and Geomatic Engineering (DBAUG), ETH Zürich

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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

By: 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

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

Past Events