Start date cannot be after end date.
Juliane Mueller - Adaptive Computing and multi-fidelity learning - IPAM at UCLA
Presenter
- Juliane Mueller
May 4, 2023
IPAM
Maxim Ziatdinov - From Human-Centric to AI-Driven Experimentation Workflows for Materials
Presenter
- Maxim Ziatdinov
May 2, 2023
IPAM
Aidan Thompson - LAMMPS simulation: physics models, machine-learning potentials, exascale computing
Presenter
- Aidan Thompson
March 27, 2023
IPAM
Moo K. Chung - Tutorial: Topological Data Analysis on Dynamic Brain Networks - IPAM at UCLA
Presenter
- Moo Chung
February 12, 2024
IPAM
Wei Zhu - Structure-preserving machine learning and data-driven structure discovery - IPAM at UCLA
Presenter
- Wei Zhu
July 18, 2025
IPAM
Michael Scherbela - High accuracy wavefunctions using deep-learning-based variational Monte Carlo
Presenter
- Michael Scherbela
May 27, 2022
IPAM
Sampling Complex Energy Landscapes in Material Science Using Data-Driven Force Fields
Presenter
- Cosmin Marinica
April 12, 2024
IMSI
Heather Kulik - Exploring multi-million compound spaces w/ chemical accuracy using machine learning
Presenter
- Heather Kulik
March 27, 2023
IPAM
Molecular design blueprints: materials and catalysts from new simulation and machine learning tools
Presenter
- Heather Kulik
October 15, 2019
IPAM