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Neural models for prediction of spatially patterned phase transitions: methods and challenges

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Dylewsky, Daniel, Kéfi, Sonia, Anand, Madhur, Bauch, Chris T.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computational Physics Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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