workshop on

Machine Learning and Simulation of Stochastic Dynamics with applications in materials science

 21-22, September 2023 

University of Birmingham, UK

Scope of the workshop

This workshop aims to bring together researchers from applied mathematics and computational chemistry working on machine learning methods and related computational approaches for (or with applications in) materials science. 

A particular focus of this workshop will be on methods and mathematical theory that relate to the learning and simulation of (stochastic) dynamics of particle systems including dynamics-preserving coarse-graining techniques, learnable equivariant representations of physical quantities beyond machine-learned interatomic potentials (MLIP), and algorithm design for efficient numerical simulation of relevant dynamics

Participation & Registration

Participation is open to all university (UoB or other) staff and students and is free of charge. However, we would like to ask everyone who intends to participate to fill out this registration form so that we have a good estimate of the number of participants for catering purposes. 

All participants of the workshop are expected to adhere to the University of Birmingham School of Mathematics' Code of Conduct

The School of Mathematics has established a programme to offer funded child-care services to visiting researchers. To take advantage of this opportunity, it is recommended that you make contact with the organisers at the earliest convenience to ensure proper arrangements are made.

Confirmed participants


Schedule


Thursday, Sep 21:



Friday, Sep 22:

Venue

The workshop will be hosted by the School of Mathematics of the University of Birmingham.  All talks and presentations will be hold in Lecture Theater B (LT-B, 101), within Watson Building (see map below). 


UoB School of Mathematics Code of Conduct

The School of Mathematics is committed to providing a welcoming, inclusive and safe community for all. We expect co-operation and support from all staff, students and visitors to help ensure a harassment-free environment where everyone is treated with courtesy, respect and dignity. Examples of harassment include, but are not limited to: 

We also reject complicity that knowingly promotes, encourages, or protects discrimination or unprofessional behaviour on the part of others. Should anyone experience or witness behaviour contravening the School of Mathematics’ Code of Conduct, please intervene where you feel comfortable doing so. We strongly urge you to report this behaviour using this online form.

Such behaviours are not welcome in the School of Mathematics and will not be tolerated. Alternatively, please speak to a member of staff to whom you feel comfortable disclosing this information. The Director of Equality, Diversity and Inclusivity in the School of Mathematics is Dr Sara Jabbari in Watson 113 (s.jabbari@bham.ac.uk). 

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