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Addressing Complexity in Computational Catalyst Design with Surrogate Models
Presenter
- Zachary Ulissi
October 31, 2017
IPAM
Computational Experiments in Coarse-graining Atomistic Simulations
Presenter
- Yannis Kevrekidis
January 15, 2008
IMA
Michele Ceriotti - Machine learning for atomic-scale modeling - potentials and beyond - IPAM at UCLA
Presenter
- Michele Ceriotti
May 3, 2023
IPAM
Machine-learning for materials and physics discovery through symbolic regression and kernel methods
Presenter
- Richard Hennig
September 26, 2019
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
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
