10 citations · 15 across the 3 of their papers we have counts for
3 papers
DREAMS: Density Functional Theory Based Research Engine for Agentic Materials Simulation
Ziqi Wang, Hongshuo Huang, Hancheng Zhao +4
Large language model (LLM) agents can execute long-horizon scientific workflows, but their numerical outputs are difficult to trust: agents lose context, game verification checks,…
AlloyBERT: Alloy Property Prediction with Large Language Models
Akshat Chaudhari, Chakradhar Guntuboina, Hongshuo Huang +1
The pursuit of novel alloys tailored to specific requirements poses significant challenges for researchers in the field. This underscores the importance of developing predictive te…
Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction
Hongshuo Huang, Rishikesh Magar, Changwen Xu +1
Recently, the remarkable capabilities of large language models (LLMs) have been illustrated across a variety of research domains such as natural language processing, computer visio…