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Physics-Informed Machine Learning of the thermodynamics and kinetics of point defects in alloys
Presenter
- Anjana Talapatra
May 16, 2024
IMSI
Upscaling of dislocation dynamics via automated on-the-fly active learning workflows from atomistics
Presenter
- Soumendu Bagchi
May 14, 2024
IMSI
Modeling rare events. Discovering reaction pathways, slow variables, and committor probabilities with machine learning
Presenter
- Christophe Chipot
April 26, 2024
IMSI
AIMNet2 family of machine learning potentials: general-purpose and task-specific models for element-organic molecules and radicals, reactions and molecular crystals
Presenter
- Roman Zubatyuk
April 12, 2024
IMSI
Exploiting linear models for transferability and long-range interactions
Presenter
- Julien Lam
April 11, 2024
IMSI
Scalable Machine Learning for Predicting the Electronic Structure of Matter
Presenter
- Attila Cangi
March 25, 2024
IMSI
Reducing the Quantum Many-Electron Problem to Two Electrons with Machine Learning
Presenter
- David Mazziotti
March 25, 2024
IMSI
A local, low-dimensional Machine Learning based PDE Solver for modeling engineering applications
Presenter
- Rishikesh Ranade
March 23, 2024
ICERM
Andrea Montanari - Solving overparametrized systems of nonlinear equations - IPAM at UCLA
Presenter
- Andrea Montanari
February 28, 2024
IPAM
Smita Krishaswamy - Inferring & Characterizing Neuronal Connectivity w/ deep geometry & topology
Presenter
- Smita Krishaswamy
February 16, 2024
IPAM
Nicole Sanderson - The ABCs of topological data analysis for matrix analysis - IPAM at UCLA
Presenter
- Nicole Sanderson
February 15, 2024
IPAM