March 5, 2024, 2:43 p.m. | Farbod Faraji, Maryam Reza, Aaron Knoll, J. Nathan Kutz

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.01523v1 Announce Type: cross
Abstract: Reduced-order plasma models that can efficiently predict plasma behavior across various settings and configurations are highly sought after yet elusive. The demand for such models has surged in the past decade due to their potential to facilitate scientific research and expedite the development of plasma technologies. In line with the advancements in computational power and data-driven methods, we introduce the "Phi Method" in this two-part article. Part I presents this novel algorithm, which employs constrained …

abstract arxiv behavior concept cs.lg data data-driven demand modelling physics.comp-ph physics.plasm-ph plasma research scientific research systems type

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