Coupled Multiphysics Modeling is a computational modeling framework that integrates multiple physical processes—such as fluid dynamics, structural mechanics, and biochemical reactions—across interacting spatial and temporal scales, where the mutual dependencies and feedback loops between these processes are explicitly resolved to accurately simulate complex biological systems.
155
Publications
6.7K
Citations
671
Authors
271
Institutions
Publications per year
2017–2026
67
Publications
155
1–5 of 155
Authors
671
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1–5 of 671
Institutions
271
Centre National de la Recherche Scientifique
Paris, France
8 h-index
22 publications
535 citations
Oak Ridge National Laboratory
Oak Ridge, United States
6 h-index
21 publications
1.5K citations
The University of Texas at Austin
Austin, United States
5 h-index
6 publications
629 citations
Idaho National Laboratory
Idaho Falls, United States
5 h-index
27 publications
1.5K citations
Los Alamos National Laboratory
Los Alamos, United States
5 h-index
10 publications
822 citations
Rensselaer Polytechnic Institute
Troy, United States
4 h-index
4 publications
518 citations
Pacific Northwest National Laboratory
Richland, United States
4 h-index
6 publications
908 citations
Politecnico di Milano
Milan, Italy
4 h-index
8 publications
324 citations
1–8 of 271
Venues
- Annals of Nuclear Energy
5 publications · 93 citations
5
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- International Journal for Numerical Methods in Engineering
4 publications · 91 citations
4
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- Journal of Coupled Systems and Multiscale Dynamics
JCSMD · 3 publications · 130 citations
3
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- Procedia Computer Science
3 publications · 56 citations
3
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- The International Journal of High Performance Computing Applications
3 publications · 893 citations
3
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