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Molecular Dynamics with Neural Equivariant Interatomic Potentials (Materials Intelligence Research) View | |
Introduction to Neural Network Architectures for Molecular Systems (Binge-on-atoms with Vidushi) View | |
What are Deep Learning Potentials (Binge-on-atoms with Vidushi) View | |
Machine Learning Potentials in AMS2020 (AmsterdamDensityFunctional) View | |
Combining Programmable Potentials and Neural Networks for Materials Problems by Ryan Mohr (MLPS - Combining AI and ML with Physics Sciences) View | |
Active Learning of Fast Bayesian Mapped Gaussian Processes (Materials Intelligence Research) View | |
Machine learning potentials always extrapolate, it does not matter (Cambridge Materials) View | |
Vector Neurons: A General Framework for SO(3)-Equivariant Networks (Congyue Deng) View | |
Enhancing interpretability of equivariant neural networks... - Hao Xu - 3DSIG - Poster - ISMB 2022 (ISCB) View | |
AMS2020 new features: QM/MM, machine learning potentials, efficient G0W0 method (AmsterdamDensityFunctional) View |