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Learning Together: Towards foundation models for machine learning interatomic potentials with meta-learning
Presenter
- Alice Allen
April 8, 2024
IMSI
Matrix Function Networks for learning non local quantum effects.
Presenter
- Ilyes Batatia
April 8, 2024
IMSI
Pyiron: workflows for the development and assessment of interatomic potentials
Presenter
- Jan Janssen
April 8, 2024
IMSI
Atomic cluster expansion for modeling local and semilocal atomic interactions
Presenter
- Ralf Drautz
April 8, 2024
IMSI
Physics-Inspired Machine Learning Methods: A Status Report on Predictive Chemistry
Presenter
- Teresa Head-Gordon
April 8, 2024
IMSI
Exploring Compositional and Configurational Chemical Space with Explainable AI
Presenter
- Alexandre Tkatchenko
March 29, 2024
IMSI
Bridging Scales in Materials Modeling With Occam-Shaved Machine Learning
Presenter
- Luca Ghiringhelli
March 29, 2024
IMSI
Harnessing The Properties of Equivariant Neural Networks To Understand And Design Atomic Systems
Presenter
- Tess Smidt
March 29, 2024
IMSI
Extrapolating Unconverged GW Energies up to the Complete Basis Set Limit with a Linear Model
Presenter
- Fabien Bruneval
March 28, 2024
IMSI
Expressing The Density Matrix as Functional Of The Density: How To Profit From Machine Learning?
Presenter
- Lucia Reining
March 28, 2024
IMSI
Theory-informed AI/ML for Microscopy & Spectroscopy (tentative)
Presenter
- Maria Chan
March 28, 2024
IMSI