Conceptio › Archive › arXiv (All)
arXiv (All) open access

Can Coding Agents Reproduce Findings in Computational Materials Science?

Huang, Ziyang et al.
arXiv (All) · Papers
Open Source ↗Direct PDF ↓
artificial-intelligencecomputation-and-languagematerials-sciencesoftware-engineering
Large language models are increasingly deployed as autonomous coding agents and have achieved remarkably strong performance on software engineering benchmarks. However, it is unclear whether such success transfers to computational scientific workflows, where tasks require not only strong coding abil
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 821855
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive