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Kyunghyun Cho - Lab-in-the-loop de novo antibody design - what are we missing from machine learning?
Presenter
- Kyunghyun Cho
January 25, 2023
IPAM
Rongjie Lai - Unsupervised In-context Operator Learning for Mean Field Games - IPAM at UCLA
Presenter
- Rongjie Lai
July 15, 2025
IPAM
Fabian Faulstich - Tailoring coupled cluster theory with matrix product states - IPAM at UCLA
Presenter
- Fabian Faulstich
February 8, 2024
IPAM
Sarah Brauner - Symmetries of rings from hyperplane arrangements - IPAM at UCLA
Presenter
- Sarah Brauner
February 11, 2025
IPAM
Ralf Drautz - From electrons to the simulation of materials - IPAM at UCLA
Presenter
- Ralf Drautz
May 3, 2023
IPAM
Michele Ceriotti - Machine learning for atomic-scale modeling - potentials and beyond - IPAM at UCLA
Presenter
- Michele Ceriotti
May 3, 2023
IPAM
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
Deborah Bard - The Superfacility Model for Connected Science - IPAM at UCLA
Presenter
- Deborah Bard
May 1, 2023
IPAM
Claudia Draxl - High-throughput spectroscopy & material discovery by beyond-DFT work & data-analysis
Presenter
- Claudia Draxl
May 2, 2023
IPAM
Jan Janssen - pyiron – Rapid-prototyping and Up-scaling Workflows for the Exascale - IPAM At UCLA
Presenter
- Jan Janssen
May 1, 2023
IPAM