Simon Batzner

Presentation History

2022 MRS Spring Meeting

NequIP—Equivariance Enables Machine Learning Interatomic Potentials at Unprecedented Sample Efficiency and Accuracy

May 10, 2022, 9:00 AM

2021 MRS Fall Meeting

Neural Equivariant Interatomic Potentials for Large-Scale Electrolyte Simulations

Dec 2, 2021, 3:15 PM

2021 MRS Fall Meeting

DICE—A Linear-Scaling N-Body Interatomic Potential from E(3)-Equivariant Convolutions

Dec 2, 2021, 2:00 PM

2021 MRS Fall Meeting

NequIP—E(3)-Equivariant Convolutions Enable Sample-Efficient, Scalable and Highly Accurate Machine Learning Interatomic Potentials

Dec 2, 2021, 1:45 PM

2021 MRS Fall Meeting

Multitask Machine Learning of Collective Variables for Enhanced Sampling of Rare Reaction Events

Nov 30, 2021, 5:15 PM

2021 MRS Fall Meeting

Molecular dynamics with NequIP

Nov 29, 2021, 1:30 PM

2019 MRS Fall Meeting

Learning Collective Variables for Enhanced Sampling with a Multi-Task Neural Network

Dec 3, 2019, 4:45 PM

2019 MRS Fall Meeting

Learning Direct, Symmetry-Preserving and Efficient Force-Fields with Tensor-Field Neural Networks

Dec 3, 2019, 9:45 AM

2019 MRS Fall Meeting

On-the-Fly Bayesian Active Learning of Interpretable Force Fields for Atomistic Rare Events

Dec 3, 2019, 9:30 AM

2019 MRS Fall Meeting

Machine Learning Exchange Correlation Functionals for Density Functional Theory

Dec 3, 2019, 8:30 AM