A status quo investigation of large-language models for cost-effective computational fluid dynamics automation with OpenFOAMGPT
We evaluated the performance of OpenFOAMGPT (GPT for generative pretrained transformers), which includes rating multiple large-language models. Some of the present models efficiently manage different computational fluid dynamics (CFD) tasks, such as adjusting boundary conditions, turbulence models,...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2025-11-01
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| Serie: | Theoretical and Applied Mechanics Letters |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S2095034925000558 |
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