Members of the STAR collaboration, a group of physicists collecting and analyzing data from particle collisions at the ...

Abstract: This paper proposes novel architectures for spatio-temporal graph convolutional and recurrent neural networks whose structure is inspired by the physics of power systems. The key insight ...

This important book presents a unified formulation from first principles of the Hamiltonian and statistical mechanics of metallic and insulating crystals, amorphous solids, and liquids. Extensive ...

Abstract: The latest hardware accelerators proposed for graph applications primarily focus on graph neural networks (GNNs) and graph mining. High-level graph reasoning tasks, such as graph ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...