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Machine-learning for materials and physics discovery through symbolic regression and kernel methods
Presenter
- Richard Hennig
September 26, 2019
IPAM
Rongjie Lai - Unsupervised In-context Operator Learning for Mean Field Games - IPAM at UCLA
Presenter
- Rongjie Lai
July 15, 2025
IPAM
Samuel Blau - High-Throughput DFT and Monte Carlo for Reaction Networks and Machine Learning
Presenter
- Samuel Blau
May 1, 2023
IPAM
Michele Ceriotti - Physical insights from atomic-scale machine learning - IPAM at UCLA
Presenter
- Michele Ceriotti
January 11, 2023
IPAM
Abhineet Agarwal - Understanding and overcoming the statistical limitations of decision trees
Presenter
- Abhineet Agarwal
February 27, 2024
IPAM
Jing Yang - Molecular dynamics sim for electrochemical systems: challenges of field fluctuation
Presenter
- Jing Yang
October 30, 2025
IPAM
Revealing the statistics of extreme events hidden in short weather forecast data
Presenter
- Justin Finkel
November 3, 2022
IMSI
Po-Lun Ma - Encoding microphysics in Earth system modeling with artificial intelligence
Presenter
- Po-Lun Ma
February 5, 2026
IPAM
Dimension reduction techniques for mean-field models with nonlocal interactions
Presenter
- Levon Nurbekyan
November 2, 2021
IMSI
AIMNet2 family of machine learning potentials: general-purpose and task-specific models for element-organic molecules and radicals, reactions and molecular crystals
Presenter
- Roman Zubatyuk
April 12, 2024
IMSI
