Videos

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Aidan Thompson - LAMMPS simulation: physics models, machine-learning potentials, exascale computing Thumbnail

Aidan Thompson - LAMMPS simulation: physics models, machine-learning potentials, exascale computing

Presenter
  • Aidan Thompson
March 27, 2023
IPAM
A conditional approach to extreme event attribution Thumbnail

A conditional approach to extreme event attribution

Presenter
  • Richard Smith
October 18, 2022
IMSI

Extreme Wave Events in Reflective Environments

Presenter
  • Amin Chabchoub
September 24, 2021
ICERM
Extreme Data Management Analysis and Visualization for Exascale Supercomputers and Experimental Facilities Thumbnail

Extreme Data Management Analysis and Visualization for Exascale Supercomputers and Experimental Facilities

Presenter
  • Valerio Pascucci
September 25, 2018
IPAM
Coupling plasma simulations with QED processes Thumbnail

Coupling plasma simulations with QED processes

Presenter
  • Luis Silva
January 26, 2017
IPAM
Extreme Data Management Analysis and Visualization for Climate Data Exploration Thumbnail

Extreme Data Management Analysis and Visualization for Climate Data Exploration

Presenter
  • Valerio Pascucci
November 19, 2013
IMA
Juliane Mueller - Adaptive Computing and multi-fidelity learning - IPAM at UCLA Thumbnail

Juliane Mueller - Adaptive Computing and multi-fidelity learning - IPAM at UCLA

Presenter
  • Juliane Mueller
May 4, 2023
IPAM
Nestor Aguirre - Catalysis: Automated Multiscale Modeling and Active Exploration of Chemical Space Thumbnail

Nestor Aguirre - Catalysis: Automated Multiscale Modeling and Active Exploration of Chemical Space

Presenter
  • Nestor Aguirre
May 3, 2023
IPAM
Michele Ceriotti - Machine learning for atomic-scale modeling - potentials and beyond - IPAM at UCLA Thumbnail

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 Thumbnail

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 Thumbnail

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 Thumbnail

Jan Janssen - pyiron – Rapid-prototyping and Up-scaling Workflows for the Exascale - IPAM At UCLA

Presenter
  • Jan Janssen
May 1, 2023
IPAM