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AI Reasoning Models for Problem Solving in Physics

Physics Education 2025-08-29 v1

Abstract

Reasoning models are the new generation of Large Language Models (LLMs) capable of complex problem solving. Their reliability in solving introductory physics problems was tested by evaluating a sample of n = 5 solutions generated by one such model -- OpenAI's o3-mini -- per each problem from 20 chapters of a standard undergraduate textbook. In total, N = 408 problems were given to the model and N x n = 2,040 generated solutions examined. The model successfully solved 94% of the problems posed, excelling at the beginning topics in mechanics but struggling with the later ones such as waves and thermodynamics.

Keywords

Cite

@article{arxiv.2508.20941,
  title  = {AI Reasoning Models for Problem Solving in Physics},
  author = {Amir Bralin and N. Sanjay Rebello},
  journal= {arXiv preprint arXiv:2508.20941},
  year   = {2025}
}

Comments

6 pages, 1 table; Physics Education Research Conference (PERC) 2025 Proceedings

R2 v1 2026-07-01T05:10:35.300Z