Videos

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Physics-Informed Machine Learning of the thermodynamics and kinetics of point defects in alloys Thumbnail

Physics-Informed Machine Learning of the thermodynamics and kinetics of point defects in alloys

Presenter
  • Anjana Talapatra
May 16, 2024
IMSI
Understanding diffusion in complex materials using machine learning and a variational approach Thumbnail

Understanding diffusion in complex materials using machine learning and a variational approach

Presenter
  • Dallas Trinkle
May 16, 2024
IMSI
Microstructure-Aware Bayesian Materials Discovery Thumbnail

Microstructure-Aware Bayesian Materials Discovery

Presenter
  • Raymundo Arroyave
May 16, 2024
IMSI
Integrating Autonomous Systems for Advanced Material Discovery: Bridging Experiments and Theory Through Optimized Rewards Thumbnail

Integrating Autonomous Systems for Advanced Material Discovery: Bridging Experiments and Theory Through Optimized Rewards

Presenter
  • Sergei Kalinin
May 16, 2024
IMSI
Understanding and Mitigating Bias in Autonomous Materials Characterization and Discovery Thumbnail

Understanding and Mitigating Bias in Autonomous Materials Characterization and Discovery

Presenter
  • Jason Hattrick-Simpers
May 15, 2024
IMSI
Optimization, Sampling and Generative Modeling in Non-Euclidean Spaces Thumbnail

Optimization, Sampling and Generative Modeling in Non-Euclidean Spaces

Presenter
  • Molei Tao
May 15, 2024
IMSI
Learning dislocation dynamics with graph neural networks Thumbnail

Learning dislocation dynamics with graph neural networks

Presenter
  • Nicolas Bertin
May 15, 2024
IMSI
Descriptor coarse-graining and forecasting atomic simulations Thumbnail

Descriptor coarse-graining and forecasting atomic simulations

Presenter
  • Thomas Swinburne
May 15, 2024
IMSI
A Neural Network Approach to Learning Steady States and Their Stability of Parametric Dynamical Systems Thumbnail

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

Presenter
  • Xiaochuan Tian
May 15, 2024
IMSI
Fokker-Planck-based Inverse Reinforcement Learning — A Physics-Constrained Approach to Markov Decision Process Models of Cell Dynamics Thumbnail

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

Presenter
  • Krishna Garikipati
May 14, 2024
IMSI
Upscaling of dislocation dynamics via automated on-the-fly active learning workflows from atomistics Thumbnail

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

Presenter
  • Soumendu Bagchi
May 14, 2024
IMSI
Rethinking materials simulations: Blending direct numerical simulations with neural operators Thumbnail

Rethinking materials simulations: Blending direct numerical simulations with neural operators

Presenter
  • Vivek Oommen
May 14, 2024
IMSI