Start date cannot be after end date.
Marcus Noack - Gaussian Process Approximation & Uncertainty Quantification for Autonomous Experiment
Presenter
- Marcus Noack
May 2, 2023
IPAM
Joshua Schrier - Creating Complex Scientific Workflows that Reach into the Real World - IPAM at UCLA
Presenter
- Joshua Schrier
May 2, 2023
IPAM
Maxim Ziatdinov - From Human-Centric to AI-Driven Experimentation Workflows for Materials
Presenter
- Maxim Ziatdinov
May 2, 2023
IPAM
Jörg Neugebauer - Enabling next-generation materials science simulations by automated workflows
Presenter
- Jörg Neugebauer
May 1, 2023
IPAM
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