On the feasibility of foundational models for the simulation of physical phenomena
Fuente:
arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866914978547630080 |
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| author | Tierz, Alicia Iparraguirre, Mikel M. Alfaro, Iciar Gonzalez, David Chinesta, Francisco Cueto, Elias |
| author_facet | Tierz, Alicia Iparraguirre, Mikel M. Alfaro, Iciar Gonzalez, David Chinesta, Francisco Cueto, Elias |
| contents | We explore the feasibility of foundation models for the simulation of physical phenomena, with emphasis on continuum (solid and fluid) mechanics. Although so-called learned simulators have shown some success when applied to specific tasks, it remains to be studied to what extent they are able to undergo severe changes in domain shape, boundary conditions and/or constitutive laws and still provide robust (i.e., hallucination-free) and accurate results. In this paper we perform an exhaustive study of these features, put ourselves in the worst-case scenario and study their resistance to such strong changes in their domain of application. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_14645 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | On the feasibility of foundational models for the simulation of physical phenomena Tierz, Alicia Iparraguirre, Mikel M. Alfaro, Iciar Gonzalez, David Chinesta, Francisco Cueto, Elias Computational Engineering, Finance, and Science We explore the feasibility of foundation models for the simulation of physical phenomena, with emphasis on continuum (solid and fluid) mechanics. Although so-called learned simulators have shown some success when applied to specific tasks, it remains to be studied to what extent they are able to undergo severe changes in domain shape, boundary conditions and/or constitutive laws and still provide robust (i.e., hallucination-free) and accurate results. In this paper we perform an exhaustive study of these features, put ourselves in the worst-case scenario and study their resistance to such strong changes in their domain of application. |
| title | On the feasibility of foundational models for the simulation of physical phenomena |
| topic | Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2410.14645 |