Simon Batzner

Presentation History

2024 MRS Spring Meeting

General Protocol for Training Machine Learning Interatomic Potentials for Ionic Liquids and Battery Solvents

Apr 26, 2024, 4:30 PM

2024 MRS Spring Meeting

Understanding The Interplay between Anion Dynamics and Proton Conduction in Solid-Acid Compounds Using Machine Learning Molecular Dynamics

Apr 25, 2024, 5:00 PM

2024 MRS Spring Meeting

Reaction and Ionic Migration at The Electrode-Electrolyte Interface in Solid State Batteries from Machine Learning Molecular Dynamics

Apr 25, 2024, 2:15 PM

2023 MRS Fall Meeting

Rotation Assisted Proton Conduction Mechanism in Solid Acid Compounds using Machine Learning Molecular Dynamics

Nov 30, 2023, 9:15 AM

2023 MRS Fall Meeting

Reaction and Ionic Migration at the Electrode-Electrolyte Interface in Solid State Batteries from Machine Learning Molecular Dynamics

Nov 29, 2023, 2:15 PM

2023 MRS Fall Meeting

Learning the Interatomic Potential of Ionic Liquids and Salt-In-Ionic Liquids with Machine Learning

Nov 28, 2023, 11:45 AM

2023 MRS Fall Meeting

Scaling Up Equivariant Potentials: From Fragments Towards Exascale Simulations

Nov 28, 2023, 11:00 AM

2023 MRS Fall Meeting

Machine Learning Design of More Accurate, Efficient, Stable and Transferable Coarse Grained Free Energy Models

Nov 27, 2023, 4:15 PM

2023 MRS Spring Meeting

Proton Dynamics Simulations of Solid-Acid Electrolytes Using Active Learning and Equivariant Neural Network Force Fields

Apr 13, 2023, 4:45 PM

2023 MRS Spring Meeting

Multitask Learning of Collective Variables and Reactive Force Fields for Enhanced Sampling of Rare Catalytic Events

Apr 13, 2023, 2:15 PM

2023 MRS Spring Meeting

Large Scale Simulations of Soft Materials with Equivariant Deep Learning Potentials

Apr 13, 2023, 9:15 AM

2023 MRS Spring Meeting

Progress in Equivariant Deep Learning Interatomic Potentials—Allegro and NequIP

Apr 12, 2023, 3:30 PM

2022 MRS Fall Meeting

Improving the Robustness of Deep Learning Interatomic Potentials for Molecular Dynamics

Dec 1, 2022, 3:30 PM

2022 MRS Fall Meeting

Development of Machine Learned Force Fields for Transition Metals and an Application to Surface Reconstruction

Nov 30, 2022, 4:15 PM

2022 MRS Fall Meeting

Understanding Proton Dynamics near the Superprotonic Phase Transition of Solid-Acid Electrolytes Using Machine Learning Force Fields

Nov 30, 2022, 11:15 AM

2022 MRS Fall Meeting

Learning Local Equivariant Interatomic Potentials for Large-Scale Atomistic Dynamics

Nov 28, 2022, 9:00 AM

2022 MRS Spring Meeting

Large-Scale Dynamics Simulations of Complex Liquid Electrolytes with NequIP Equivariant Machine Learning

May 13, 2022, 9:00 AM

2022 MRS Spring Meeting

Towards Systematically Improvable Deep Learning Interatomic Potentials with Deep Interatomic Cluster Expansions (DICE)

May 10, 2022, 2:45 PM

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