5 papers
Counter-streaming heat-flux closure for electron-only collisionless magnetic reconnection
Madox C. McGrae-Menge, Jacob R. Pierce, Maria Almanza +6
In electron-only collisionless magnetic reconnection (MR), a regime of growing importance in turbulent space plasmas, electrons develop strongly non-Maxwellian distributions that i…
The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS)
Andrew Ferguson, Marisa LaFleur, Lars Ruthotto +97
This community paper developed out of the NSF Workshop on the Future of Artificial Intelligence (AI) and the Mathematical and Physics Sciences (MPS), which was held in March 2025 w…
Data-driven multi-species heat flux closures for two-stream-unstable plasmas with nonlinear sparse regression
Emil R. Ingelsten, Madox C. McGrae-Menge, E. Paulo Alves +1
The dual aims of accuracy and computational efficiency in computational plasma physics lend themselves well to the use of fluid models. The first of these goals, however, is only s…
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…
Data-driven discovery of a heat flux closure for electrostatic plasma phenomena
Emil R. Ingelsten, Madox C. McGrae-Menge, E. Paulo Alves +1
Progress in understanding multi-scale collisionless plasma phenomena requires employing tools which balance computational efficiency and physics fidelity. Collisionless fluid model…