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
Lyudmila Grigoryeva, University St. Gallen, Mathematics, (remote attendance)
Eric Hall, University of Dundee, Mathematics
Thomas Hudson, University of Warwick, Mathematics
Benedict Leimkuhler, University of Edinburgh, Mathematics
Reinhard Maurer, University of Warwick, Chemistry
Dominic Phillips, University of Edinburgh, Mathematics
Pranav Singh, University of Bath, Mathematics
Matthias Sachs, University of Birmingham, Mathematics
Xiaocheng Shang, University of Birmingham, Mathematics
Yue Wu, Strathclyde University, Mathematics, (remote attendance)
Jiahua Jiang, University of Birmingham, Mathematics
Schedule
Thursday, Sep 21:
12:00-13:00 - Welcome & Snacks
13:00-13:45 - Benedict Leimkuhler: Thermostats for sampling and optimization - Abstract
13:45-14:30 - Eric Hall: Uncertainty Quantification for Deep Learning in Materials Design - Abstract
14:30-15:00 - Coffee Break
15:00-15:45 - Lyudmila Grigoryeva: Memory of recurrent networks: Do we compute it right? - Abtract
15:45-16:30 - Thomas Hudson: Dynamical Properties of Coarse-Grained Stochastic Dynamics - Abstract
16:30-17:00 - Coffee Break
17:00-17:20 - Dominic Phillips: Numerics with Coordinate Transforms for Efficient Brownian Dynamics Simulations - Abstract
19:00 - Conference Dinner
Friday, Sep 22:
09:00-09:45 - Yue Wu: An NRDE-based model for solving path-dependent PDEs - Abstract
09:45-10:30 - Pranav Singh: Quantum optimal control - Abstract
10:30-11:00 - Coffee Break
11:00-11:45 - Reinhard Maurer First principles electronic friction theory to simulate quantum dynamics at surfaces - Abstract
11:45-12:30 - Matthias Sachs: Learnable Equivariant Representations of Stochastic Heat Bath Models via the Atomic Cluster Expansion - Abstract
12:30-14:00 - Lunch
14:00-14:45 - Xiaocheng Shang: Accurate and Efficient Splitting Methods for Dissipative Particle Dynamics - Abstract
14:45-15:30 - Jiahua Jiang: Hybrid Projection Methods with Recycling for Inverse Problems - Abstract
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:
offensive or belittling comments related to age, body size, disability, ethnicity, gender, gender identity and expression, physical appearance, sexual orientation, socio-economic status and religion;
inappropriate language (this does not need to be aimed directly at an individual(s) for it to contravene the code);
deliberate intimidation;
harassing photography or recording;
inappropriate physical contact;
unwelcome sexual or other forms of attention.
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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