On the Feasibility of Foundational Models for the Simulation of Physical Phenomena

ABSTRACT 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 can 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.

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Publication Details

Journal
International Journal for Numerical Methods in Engineering
Published
2025-03-25
DOI
https://doi.org/10.1002/nme.70027
Citations
4
Primary Topic
Modeling and Simulation Systems
Type
article
Field-Weighted Citation Impact
6.02

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On the Feasibility of Foundational Models for the Simulation of Physical Phenomena

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International Journal for Numerical Methods in Engineering
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article

On the Feasibility of Foundational Models for the Simulation of Physical Phenomena

Icíar Alfaro, Elías Cueto, Francisco Chinesta, David González G., Mikel M. Iparraguirre, Alicia Tierz
article en
4 citations

Abstract

ABSTRACT 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 can 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.

International Journal for Numerical Methods in EngineeringVol. 126(6)
ESI Group (France) (FR), Arts et Métiers (FR), Universidad de Zaragoza (ES)
Ministerio de Ciencia, Innovación y Universidades, Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España
Openalex Percentile: Top 4%
Modeling and Simulation Systems
6.02
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