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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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| Veröffentlicht in: | Phys Rev E |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2019
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| Schlagworte: | |
| Online Zugang: | 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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