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Large language model-empowered next-generation computer-aided engineering

delete2025-12-03
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PRE
AI
J
Jiachen Guo
C
Chanwook Park
钱冬 cover
钱冬 (Dong Qian)
T
Thomas J.R. Hughes
W
Wing Kam Liu
DOI:10.1016/j.cma.2025.118591delete
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Abstract

Abstract

En 中文
• CAE agents for autonomous workflows: LLMs plan, execute, and adapt workflows in CAE. • Overcoming intrusive MOR barriers: LLMs can automate derivations and code restructuring. • Reducing LLM hallucination: chain-of-thought prompting aids MOR derivations. • Extrapolating solver capabilities: LLMs can build advanced MOR solvers from simple examples. • Toward next-generation CAE: LLM agents deliver fast, accurate, scalable models for CAE tasks.

Journal

Computer Methods in Applied Mechanics and Engineering cover
Computer Methods in Applied Mechanics and Engineering
IF:
7.3
Papers:
1.3W
Citations:
5.6W

Organization

H
hidenn-ai, llc
Scholars:
1
Papers: 1
Citations: 0
U
university of texas at austin
Scholars:
1.3K
Papers: 646
Citations: 0
N
Northwestern University
Scholars:
6.1W
Papers: 5.2W
Citations: 3.9K
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