1 citations · 1 across the 2 of their papers we have counts for
2 papers
physics.plasm-ph2025★ 1 cited
Embedding physical symmetries into machine-learned reduced plasma physics models via data augmentation
Madox C. McGrae-Menge, Jacob R. Pierce, Frederico Fiuza +1
Machine learning is offering powerful new tools for the development and discovery of reduced models of nonlinear, multiscale plasma dynamics from the data of first-principles kinet…
nucl-ex2022
Improved Limit on Tensor Currents in the Weak Interaction from Li Decay
M. T. Burkey, G. Savard, A. T. Gallant +28
The electroweak interaction in the Standard Model (SM) is described by a pure vector-axial-vector structure, though any Lorentz-invariant component could contribute. In this work,…