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Scalable Machine Learning for Predicting the Electronic Structure of Matter
Presenter
- Attila Cangi
March 25, 2024
IMSI
Toby Cubitt - Hamiltonian simulation meets holographic duality - IPAM at UCLA
Presenter
- Toby Cubitt
December 1, 2023
IPAM
Richard Hennig & Jason Gibson - AI-driven workflows for the discovery of novel superconductors
Presenters
- Richard Hennig
- Jason Gibson
May 5, 2023
IPAM
James Kermode - Multiscale and data-driven methods for the simulation of material failure
Presenter
- James Kermode
April 19, 2023
IPAM
Climate Extreme Event Attribution and Extreme Value Theory
Presenter
- Phillippe Naveau
October 20, 2022
IMSI
Marie-Ingrid Richard - Structural evolution of nanoparticles observed with Bragg coherent x-ray
Presenter
- Marie-Ingrid Richard
October 12, 2022
IPAM
Tensor numerical modeling of the collective electrostatic potentials in many-particle systems
Presenter
- Venera Khoromskaia
May 4, 2021
IPAM
Effect of dislocations on collective modes of twisted 2D materials
Presenter
- Michael Fogler
January 14, 2020
IPAM
Learning dynamical laws from data in classical and quantum settings
Presenter
- Jens Eisert
October 29, 2019
IPAM
Accelerating Scientific Discovery through Interpretable Machine Learning and Intelligent Experimentation
Presenter
- Peter Frazier
October 16, 2019
IPAM
Machine-learning for materials and physics discovery through symbolic regression and kernel methods
Presenter
- Richard Hennig
September 26, 2019
IPAM