Basics Of Machine Learning Force Fields | Vasp Lecture

Basics of machine learning force fields | VASP Lecture

VASP

Intro to force field

Biomedical Big Data Training Collaborative

Atomic Cluster Expansion: A framework for fast and accurate ML force fields

Cambridge Materials

Stefan Chmiela - Accurate global machine learning force fields for molecules with hundreds of atoms

Institute for Pure & Applied Mathematics (IPAM)

Using AMOEBA Polarizable Force Fields

Benchmark and Critical Evaluation for ML Force Fields with Molecular Simulations | Xiang Fu

Daniel Schwalbe Koda: Machine learning for interatomic potentials

FAIRmat and NOMAD

S01/12. Introduction to Control Theory

FAU Chair Dynamics, Control, Machine Learning...

On Electrons and Machine Learning Force Fields

The Quantum Chemistry Group

Félix Musil - Building machine learned force fields with kernel methods: a hands-on tutorial

mlip-workshop-2021

ML4MS18: Efficient N-body force fields from machine learning

Jeff Bezos Quit Being A Physicist

Stefan Chmiela - Non-locality in machine learning force fields - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)

Force Fields

Dataset Generation with Psi4: Fitting Force Fields and Machine Learning Models

Using machine learning to improve RNA force fields

ICTP Condensed Matter and Statistical Physics

MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields