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MRS Meetings and Events

Simon Batzner

Presentations by this Author

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

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