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Michele Ceriotti - Machine learning for atomic-scale modeling - potentials and beyond - IPAM at UCLA
Presenter
- Michele Ceriotti
May 3, 2023
IPAM
Deborah Bard - The Superfacility Model for Connected Science - IPAM at UCLA
Presenter
- Deborah Bard
May 1, 2023
IPAM
Samuel Blau - High-Throughput DFT and Monte Carlo for Reaction Networks and Machine Learning
Presenter
- Samuel Blau
May 1, 2023
IPAM
Jan Janssen - pyiron – Rapid-prototyping and Up-scaling Workflows for the Exascale - IPAM At UCLA
Presenter
- Jan Janssen
May 1, 2023
IPAM
Hélène Zapolsky - Atomistic modelling of phase transformation at large time and length scales
Presenter
- Hélène Zapolsky
April 20, 2023
IPAM
Christoph Ortner - Atomic Cluster Expansion with and Without Atoms - IPAM at UCLA
Presenter
- Christoph Ortner
April 19, 2023
IPAM
Shenglin Huang - Data-Driven Model Discovery for Non-equilibrium Processes - IPAM at UCLA
Presenter
- Shenglin Huang
April 18, 2023
IPAM
Robert Lipton - Fracture as an emergent phenomenon - IPAM at UCLA
Presenter
- Robert Lipton
April 18, 2023
IPAM
Gabor Csányi - Machine learning potentials: from polynomials to message passing networks
Presenter
- Gabor Csányi
April 17, 2023
IPAM
Estimating concurrent climate extremes: A conditional approach
Presenter
- Whitney Huang
October 18, 2022
IMSI
Flexible Time Integration Methods for Multiphysics PDE Systems
Presenter
- Daniel Reynolds
January 10, 2022
ICERM
Numerical data mining with sparse grids at extreme scale
Presenter
- Dirk Pflüger
September 25, 2018
IPAM