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Tess Smidt - Learning how to break symmetry with symmetry-preserving neural networks - IPAM at UCLA
Presenter
- Tess Smidt
January 26, 2023
IPAM
Mohammed AlQuraishi - OpenFold: Lessons and insights from rebuilding and retraining AlphaFold2
Presenter
- Mohammed AlQuraishi
January 23, 2023
IPAM
Tommi Jaakola - Diffusion based distributional modeling of conformers, blind docking and proteins
Presenter
- Tommi Jaakola
January 24, 2023
IPAM
Rose Yu - Incorporating Symmetry for Learning Spatiotemporal Dynamics - IPAM at UCLA
Presenter
- Rose Yu
January 26, 2023
IPAM
Alexandre Tkatchenko - Fully Quantum (Bio)Molecular Simulations: Dream or Reality? - IPAM at UCLA
Presenter
- Alexandre Tkatchenko
January 25, 2023
IPAM
Stefan Chmiela - Accurate global machine learning force fields for molecules with hundreds of atoms
Presenter
- Stefan Chmiela
January 25, 2023
IPAM
Patrick Riley - Symbolic Regression for Discovery of a DFT Functional - IPAM at UCLA
Presenter
- Patrick Riley
January 23, 2023
IPAM
Anatole von Lilienfeld - Go EAST, young scientist - First principles view on chemical compound space
Presenter
- Anatole von Lilienfeld
January 27, 2023
IPAM
Kristin Persson - Data-Driven Design for Energy Materials - IPAM at UCLA
Presenter
- Kristin Persson
January 24, 2023
IPAM