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Amedeo Perazzo - Workflows for experimental facilities and the digital twin approach - IPAM at UCLA
Presenter
- Amedeo Perazzo
May 1, 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
Michael Scherbela - High accuracy wavefunctions using deep-learning-based variational Monte Carlo
Presenter
- Michael Scherbela
May 27, 2022
IPAM
Julia Westermayr - Physically inspired machine learning for excited states
Presenter
- Julia Westermayr
May 27, 2022
IPAM
Ilyes Batatia - Unified understanding of E(3)-Equivariant Interatomic Potentials Theory/Applications
Presenter
- Ilyes Batatia
May 27, 2022
IPAM
Matthew Foulkes - Approximating Many-Electron Wave Functions using Neural Networks
Presenter
- Matthew Foulkes
May 26, 2022
IPAM
Kieron Burke - Conditional probability density functional theory
Presenter
- Kieron Burke
May 26, 2022
IPAM
David Ceperley - Quantum Monte Carlo and Machine Learning Simulations of Dense Hydrogen
Presenter
- David Ceperley
May 26, 2022
IPAM
Mark Tuckerman - Quantum time correlation functions in an open-chain path integral distribution
Presenter
- Mark Tuckerman
May 26, 2022
IPAM
Lucas Wagner - Compact representations of excited states from QMC, as data for low-energy models
Presenter
- Lucas Wagner
May 26, 2022
IPAM