Fast simulation of particulate suspensions enabled by graph neural network
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2022/10/01
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Indian UGC (journal)
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Refrences53
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Citations3
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Zhan Ma ORCID (unauthenticated)
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Zisheng Ye ORCID (unauthenticated)
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Wenxiao Pan
Cite
Ma, Zhan, et al. “Fast Simulation of Particulate Suspensions Enabled by Graph Neural Network”. Computer Methods in Applied Mechanics and Engineering, vol. 400, 2022, p. 115496, https://doi.org/10.1016/j.cma.2022.115496.
Ma, Z., Ye, Z., & Pan, W. (2022). Fast simulation of particulate suspensions enabled by graph neural network. Computer Methods in Applied Mechanics and Engineering, 400, 115496. https://doi.org/10.1016/j.cma.2022.115496
Ma, Zhan, Zisheng Ye, and Wenxiao Pan. “Fast Simulation of Particulate Suspensions Enabled by Graph Neural Network”. Computer Methods in Applied Mechanics and Engineering 400 (2022): 115496. https://doi.org/10.1016/j.cma.2022.115496.
1.
Ma Z, Ye Z, Pan W. Fast simulation of particulate suspensions enabled by graph neural network. Computer Methods in Applied Mechanics and Engineering. 2022;400:115496.
Journal Categories
Science
Mathematics
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Engineering (General)
Civil engineering (General)
Technology
Engineering (General)
Civil engineering (General)
Mechanics of engineering
Applied mechanics
Technology
Mechanical engineering and machinery
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Social motility of biofilm-like microcolonies in a gliding bacterium | Nature Communications |
| 15 | 2021 |
Reconfigurable microbots folded from simple colloidal chains | Proceedings of the National Academy of Sciences |
| 42 | 2020 |
Dynamic Graph CNN for Learning on Point Clouds | ACM Transactions on Graphics |
| 1,478 | 2019 |
Simulation Methods for Particulate Flows and Concentrated Suspensions | Annual Review of Fluid Mechanics |
| 148 | 2017 |
| Biomolecular condensates: organizers of cellular biochemistry | Nature Reviews Molecular Cell Biology |
| 2,987 | 2017 |
Refrences Analysis
The category
Science: Physics 28
is the most frequently represented among the references in this article. It primarily includes studies from Journal of Fluid Mechanics and Journal of Computational Physics. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Shape deformation, disintegration, and coalescence of suspension drops: Efficient simulation enabled by graph neural networks | International Journal of Multiphase Flow |
| 2024 | |
| A finite element-inspired hypergraph neural network: Application to fluid dynamics simulations | Journal of Computational Physics |
| 1 | 2024 |
| Development of clustered machine learning technique for the modeling of scour profile induced by propeller jets | Ocean Engineering |
| 2023 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 1
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Development of clustered machine learning technique for the modeling of scour profile induced by propeller jets and was published in 2023. The most recent citation comes from a 2024 study titled Shape deformation, disintegration, and coalescence of suspension drops: Efficient simulation enabled by graph neural networks. This article reached its peak citation in 2024, with 2 citations. It has been cited in 3 different journals. Among related journals, the International Journal of Multiphase Flow cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.