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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
Attenuation of the curse of dimensionality in continuous-time nonlinear optimal feedback stabilization problems
Presenter
- Ivan Yegorov
April 2, 2020
IPAM
Nicolas Hörmann - Bias In, Physics Out: Ab-Initio Insights into Electrified Interfaces
Presenter
- Nicolas Hörmann
September 18, 2025
IPAM
Craig Plaisance - Modeling Electrocatalysis Without the Pain: Past, Present, and Future
Presenter
- Craig Plaisance
October 6, 2025
IPAM
Shenglin Huang - Data-Driven Model Discovery for Non-equilibrium Processes - IPAM at UCLA
Presenter
- Shenglin Huang
April 18, 2023
IPAM
Building Digital Twins of the Earth for NVIDIA’s Earth-2 Initiative
Presenter
- Karthik Kashinath
November 2, 2022
IMSI
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis
Presenter
- Rose Yu
May 19, 2021
IPAM
Eduardo Siman - Image-to-Image Tropical Cyclone Wind Field Diagnosis - IPAM at UCLA
Presenter
- Eduardo Siman
February 4, 2026
IPAM