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

IF 2.9 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2025-03-25 DOI:10.1002/nme.70027
Alicia Tierz, Mikel M. Iparraguirre, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
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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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论物理现象模拟基础模型的可行性
我们探索了模拟物理现象的基础模型的可行性,重点是连续介质(固体和流体)力学。尽管所谓的“学习模拟器”在应用于特定任务时已经显示出一些成功,但它们在多大程度上可以经历域形状、边界条件和/或本构律的严重变化,并且仍然提供稳健(即无幻觉)和准确的结果,仍有待研究。在本文中,我们对这些特征进行了详尽的研究,将自己置于最坏的场景中,并研究了它们对其应用领域中如此强烈变化的抵抗力。
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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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