Author

Tyrel Mcqueen

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#artificial intelligence May 2026

Can Coding Agents Reproduce Findings in Computational Materials Science?

This work presents AutoMat, a benchmark for evaluating LLM-based agents'ability to reproduce claims from computational materials science, and curates a set of claims from real materials science papers to test whether coding agents can recover and execute the end-to-end workflow needed to support (or undermine) such cla...

Ziyang Huang, Yiyun Cao, A. Shargh et al. · arXiv.org · 9 citations

Preprint Jul 2026

Human and LLM Collaboration for Accelerated Materials Synthesis and Discovery

Although Large Language Models (LLM) and Artificial Intelligence (AI) tools have enabled a rapid increase in the generation rate of predicted materials, the rate of new materials discovery has lagged behind. This is due to the challenges associated with designing a sequence of chemical reactions to predictably produce...

G. Bassen, Wyatt Bunstine, Sarah Okandey et al. · 0 citations