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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
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
Mark Tuckerman - From A to B via a synthesis of rare-event sampling and machine learning
Presenter
- Mark Tuckerman
January 24, 2023
IPAM
Particle-Based Stochastic Reaction-Diffusion Models: Mean field limits and fluctuation corrections.
Presenter
- Konstantinos Spiliopoulos
May 10, 2024
ICERM