2 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
A quantized anomalous Hall effect above 4.2 K in stacked topological insulator/magnet bilayers
Rakshit Jain, Matthew Roddy, Vishakha Gupta +9
Quantized anomalous Hall effects (QAHEs) occur in remarkable electronic states which possess not only quantized Hall signals but in some cases regions of dissipationless electron t…
Sampling Latent Material-Property Information From LLM-Derived Embedding Representations
Luke P. J. Gilligan, Matteo Cobelli, Hasan M. Sayeed +2
Vector embeddings derived from large language models (LLMs) show promise in capturing latent information from the literature. Interestingly, these can be integrated into material e…