Understanding and Mitigating Bias in Autonomous Materials Characterization and Discovery

Jason Hattrick-Simpers
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Optimization, Sampling and Generative Modeling in Non-Euclidean Spaces

Molei Tao
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Learning dislocation dynamics with graph neural networks

Nicolas Bertin
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Descriptor coarse-graining and forecasting atomic simulations

Thomas Swinburne
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A Neural Network Approach to Learning Steady States and Their Stability of Parametric Dynamical Systems

Xiaochuan Tian
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Fokker-Planck-based Inverse Reinforcement Learning — A Physics-Constrained Approach to Markov Decision Process Models of Cell Dynamics

Krishna Garikipati
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Upscaling of dislocation dynamics via automated on-the-fly active learning workflows from atomistics

Soumendu Bagchi
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Rethinking materials simulations: Blending direct numerical simulations with neural operators

Vivek Oommen
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Exploring the Frontiers of Computational Medicine

Yixiang Deng
May 14, 2024