Inferring the Langevin Equation with Uncertainty via Bayesian Neural Networks

Pervasive across diverse domains, stochastic systems exhibit fluctuations in processes ranging from molecular dynamics to climate phenomena. The Langevin equation has served as a common mathematical model for studying such systems, enabling predictions of their temporal evolution and analyses of the...

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Hauptverfasser:	Bae, Youngkyoung, Ha, Seungwoong, Jeong, Hawoong
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Physics - Biological Physics Physics - Soft Condensed Matter Physics - Statistical Mechanics
Online-Zugang:	Volltext bestellen
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