Ying Li

Large Language Model-Assisted Development of Reliable Machine Learning Models for Hydrogen Evolution Reaction Catalysts

Reliable experimental datasets are essential for accelerating sustainable hydrogen production through data-driven electrocatalyst discovery. Large language models (LLMs) have enabled the rapid construction of such datasets by extracting catalytic features directly from unstructured scientific literature. However, the...