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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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| Publicado no: | Phys Rev E |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | 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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