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physics.comp-ph2026
Computing with traceable tensor networks
Sarah Ellwein, Daniele Venturi
We introduce a new SVD-based tensor decomposition method for tensor networks with arbitrary graph topologies, extending classical hierarchical SVD-based techniques to networks with…
physics.comp-ph2020
Improving neural network predictions of material properties with limited data using transfer learning
Schuyler Krawczuk, Daniele Venturi
We develop new transfer learning algorithms to accelerate prediction of material properties from ab initio simulations based on density functional theory (DFT). Transfer learning h…
physics.comp-ph2019★ 25 cited
Tensor methods for the Boltzmann-BGK equation
Arnout Boelens, Daniele Venturi, Daniel Tartakovsky
We present a tensor-decomposition method to solve the Boltzmann transport equation (BTE) in the Bhatnagar-Gross-Krook approximation. The method represents the six-dimensional BTE a…