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Learning moment closure in reaction-diffusion systems with spatial dynamic Boltzmann distributions

Many physical systems are described by probability distributions that evolve in both time and space. Modeling these systems is often challenging due to their large state space and analytically intractable or computationally expensive dynamics. To address these problems, we study a machine-learning a...

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Bibliografiske detaljer
Udgivet i:Phys Rev E
Main Authors: Ernst, Oliver K., Bartol, Thomas M., Sejnowski, Terrence J., Mjolsness, Eric
Format: Artigo
Sprog:Inglês
Udgivet: 2019
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6852890/
https://ncbi.nlm.nih.gov/pubmed/31330605
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1103/PhysRevE.99.063315
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