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Environment-adaptive machine learning potentials for atomistic simulations of materials under extreme conditions
Presenter
- Ngoc-Cuong Nguyen
April 9, 2024
IMSI
Frederic Legoll - Parareal algorithms for molecular dynamics simulations - IPAM at UCLA
Presenter
- Frederic Legoll
April 21, 2023
IPAM
Marisol Koslowski - Surrogate Hot-spot Models for Simulations of Detonation in Energetic Materials
Presenter
- Marisol Koslowski
April 20, 2023
IPAM
Lev Truskinovsky - Mesoscopic tensorial model of crystal plasticity - IPAM at UCLA
Presenter
- Lev Truskinovsky
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
Mitchell Luskin - Computing at the Moiré Scale - IPAM at UCLA
Presenter
- Mitchell Luskin
April 17, 2023
IPAM
Sampling Strategies for Training Machine Learning Emulators of Gravity Wave
Presenter
- Minah Yang
November 2, 2022
IMSI
Sandro Vaienti - Thermodynamic formalism for open random dynamical systems
Presenter
- Sandro Vaienti
September 1, 2022
IPAM
Stable Vortex Sheets and Irreversibility of Turbulence
Presenter
- Alexander Migdal
December 7, 2021
IAS
Communication-Avoiding Sparse Matrix Algorithms for Large Graph and Machine Learning Problems
Presenter
- Aydin Buluç
November 28, 2018
IPAM
Numerical data mining with sparse grids at extreme scale
Presenter
- Dirk Pflüger
September 25, 2018
IPAM