Machine learning-driven conservative-to-primitive conversion in hybrid piecewise polytropic and tabulated equations of state

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Kacmaz, Semih, Haas, Roland, Huerta, E. A.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	General Relativity and Quantum Cosmology Instrumentation and Methods for Astrophysics Artificial Intelligence Computational Physics J.2; I.2
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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