CompChem Observer

Conferences, workshops and schools in computational chemistry

Machine Learning Assisted Molecular (Thermo)Dynamics

Dates
Type
workshop
Format
in-person
Location
CECAM-HQ-EPFL, Lausanne, Switzerland
Organiser
Michele Ceriotti, Marylou Gabrié, Simon Olsson, Grant Rotskoff
Official page
https://www.cecam.org/workshop-details/machine-learning-assisted-molecular-thermodynamics-1480
Dates from
https://www.cecam.org/workshop-details/machine-learning-assisted-molecular-thermodynamics-1480
Topics
molecular-dynamicsml-potentialsml-chemistry

CECAM Flagship workshop on machine learning for molecular simulations, covering ML interatomic potentials, coarse-grained models, and generative models. It brings together researchers from computational chemistry, physics, applied maths, and ML to discuss advances and key challenges in transferability, reliability, scalability, and bridging timescales, connecting short-time dynamics with long-time conformational sampling and kinetic observables.


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