Ensemble physics informed neural networks: A framework to improve inverse transport modeling in heterogeneous domains

Research article (Physics of Fluids, 2023) · cited 19× · AI/ML
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Ensemble physics informed neural networks: A framework to improve inverse transport modeling in heterogeneous domains

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Ensemble physics informed neural networks: A framework to improve inverse transport modeling in heterogeneous domains is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Ensemble physics informed neural networks: A framework to improve inverse transport modeling in heterogeneous domains. Retrieved May 24, 2026, from https://4ort.xyz/entity/ensemble-physics-informed-neural-networks-a-framework-to-improve-inverse-transport-modeling-in-heterogeneous-domains
MLA “Ensemble physics informed neural networks: A framework to improve inverse transport modeling in heterogeneous domains.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ensemble-physics-informed-neural-networks-a-framework-to-improve-inverse-transport-modeling-in-heterogeneous-domains.
BibTeX @misc{4ortxyz_ensemble-physics-informed-neural-networks-a-framework-to-improve-inverse-transport-modeling-in-heterogeneous-domains_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Ensemble physics informed neural networks: A framework to improve inverse transport modeling in heterogeneous domains}}, year = {2026}, url = {https://4ort.xyz/entity/ensemble-physics-informed-neural-networks-a-framework-to-improve-inverse-transport-modeling-in-heterogeneous-domains}, note = {Accessed: 2026-05-24}}
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