3 papers
cond-mat.mtrl-sci2026
Large language model-enabled automated data extraction for concrete materials informatics
Zhanzhao Li, Kengran Yang, Qiyao He +1
The promise of data-driven materials discovery remains constrained by the scarcity of large, high-quality, and accessible experimental datasets. Here, we introduce a generalizable…
cond-mat.mtrl-sci2026
From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
Aritra Roy, Kevin Shen, Andrew MacBride +350
Large language models (LLMs) are rapidly changing how researchers in materials science and chemistry discover, organize, and act on scientific knowledge. This paper analyzes a broa…
cond-mat.mtrl-sci2025
Dissolution kinetics of iron sulfide minerals in alkaline solutions
Zhanzhao Li, Christopher A. Gorski, Aaron Thompson +3
Deleterious aggregate reactions induced by iron sulfide minerals, especially pyrrhotite and pyrite, have devastated concrete structures across many global regions. While these mine…