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Jan Hermann - Neural-network wave functions for quantum chemistry
Presenter
- Jan Hermann
May 25, 2022
IPAM
Anouar Benali - multideterminant many-body methods to describe ground and excited state properties
Presenter
- Anouar Benali
May 25, 2022
IPAM
Robert Webber - Approximate matrix eigenvalues, subspace iteration w/ repeated random sparsification
Presenter
- Robert Webber
May 25, 2022
IPAM
Andrea Tirelli - Monte Carlo and Machine Learning Approaches in Quantum Mechanics - IPAM at UCLA
Presenter
- Andrea Tirelli
May 25, 2022
IPAM
Giuseppe Carleo - Fermionic neural-network quantum states
Presenter
- Giuseppe Carleo
May 24, 2022
IPAM
Claudia Filippi - Targeting excited states with quantum Monte Carlo
Presenter
- Claudia Filippi
May 24, 2022
IPAM
Leslie Vogt-Maranto - Molecular Electron Densities via Machine Learning
Presenter
- Leslie Vogt-Maranto
May 24, 2022
IPAM
Raymond Clay - Machine Learning in Equation of State and Transport Modeling at Extreme Conditions
Presenter
- Raymond Clay
May 24, 2022
IPAM
Sandeep Sharma - Auxiliary field quantum Monte Carlo (AFQMC) with multi Slater wavefunctions
Presenter
- Sandeep Sharma
May 24, 2022
IPAM
Shiwei Zhang - Auxiliary-field methods for quantum materials - IPAM at UCLA
Presenter
- Shiwei Zhang
May 23, 2022
IPAM
