FEABench is a new benchmark that evaluates how well large language models can solve complex engineering and physics problems using finite element analysis (FEA).

• Assesses end-to-end reasoning capabilities of LLMs on engineering simulations
• Tests models on their ability to formulate physics problems and apply mathematical techniques
• Introduces a comprehensive evaluation scheme for quantitative problem-solving
• Could drive automation in engineering workflows through improved AI capabilities

This research matters for engineering fields as it establishes rigorous standards to evaluate and improve AI systems that could potentially automate complex simulation tasks currently requiring significant human expertise.

FEABench: Evaluating Language Models on Multiphysics Reasoning Ability