James Chapman

Presentation History

2024 MRS Fall Meeting & Exhibit

A Physics-Aware Materials Discovery Platform for Stable High Entropy Alloys

Dec 3, 2024, 2:00 PM

2024 MRS Fall Meeting & Exhibit

SODAS—Autonomous Characterization of Defects in High Entropy Materials Under Extreme Conditions via Graph Neural Networks

Dec 3, 2024, 1:30 PM

2023 MRS Fall Meeting & Exhibit

Unraveling the Mechanisms of Stability in Co_xMo_70-xFe₁₀Ni₁₀Cu₁₀ High Entropy Alloys via Physically Interpretable Graph Neural Networks

Nov 28, 2023, 8:00 PM

2023 MRS Fall Meeting & Exhibit

Autonomous Learning of Atomistic Structural Transitions via Physics-Inspired Graph Neural Networks

Nov 28, 2023, 8:30 AM

2023 MRS Spring Meeting & Exhibit

Unifying the Duality of Crystalline Order-Disorder Characterization with Denoising Score Function Model

Apr 12, 2023, 9:15 AM

2022 MRS Fall Meeting

Quantifying Disorder One Atom at a Time Using an Interpretable Graph Neural Network Paradigm

Nov 30, 2022, 4:00 PM

2022 MRS Fall Meeting

Multiscale Simulations for Sorption-Diffusion Dynamics Within Polycrystalline Microstructures in the Hydrogen Storage Systems

Nov 29, 2022, 10:30 AM

2022 MRS Spring Meeting

Finite-temperature Crystal Structure Prediction of Lithium Using Machine Learning Potentials

May 23, 2022, 2:45 PM

2021 MRS Fall Meeting

A Fundamental Training Paradigm for Graph Neural Networks to Characterize Complex Features in Atomic Microstructures

Dec 8, 2021, 8:00 AM

2021 MRS Fall Meeting

Understanding Hydrogen Diffusivity in Amorphous Titania—Bridging Quantum and Classical Descriptions with Graph Theory

Dec 7, 2021, 1:00 PM

2021 MRS Fall Meeting

Predicting Hydrogen Diffusivity in Amorphous Titania using Machine Learning-Assisted Adaptive Markov Chain Kinetic Monte Carlo Simulations

Dec 7, 2021, 11:00 AM

2021 MRS Fall Meeting

Advanced Computational Modeling of Metal Hydrides for Vehicular and Stationary Hydrogen Storage Applications

Dec 6, 2021, 5:15 PM

2019 MRS Fall Meeting

AGNI—A Machine Learning Platform for the Rapid Prediction of Atomistic Properties

Dec 3, 2019, 1:45 PM