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Julia Westermayr - Physically inspired machine learning for excited states
Presenter
- Julia Westermayr
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
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
Marivi Fernandez Serra - Machine learning to improve the exchange and correlation functional in DFT
Presenter
- Marivi Fernandez-Serra
May 26, 2022
IPAM
Brenda Rubenstein - Extending the Reach of Quantum Monte Carlo Methods via Machine Learning
Presenter
- Brenda Rubenstein
May 26, 2022
IPAM
Anouar Benali - multideterminant many-body methods to describe ground and excited state properties
Presenter
- Anouar Benali
May 25, 2022
IPAM
Filippo Lipparini - Black-box optimization of self-consistent field wavefunction, closed/open shells
Presenter
- Filippo Lipparini
May 5, 2022
IPAM
David Mazziotti - Contracted Quantum Eigensolver for the Quantum Simulation of Many-electron Systems
Presenter
- David Mazziotti
May 5, 2022
IPAM