Teresa Head‐Gordon
Papers
1
Total Citations
145
H-Index
1
About
Teresa Head-Gordon is a pioneering computational chemist whose research bridges artificial intelligence, materials science, and molecular simulation. Her work focuses on developing and applying advanced computational methods to understand and design novel materials, particularly metal-organic frameworks (MOFs) and covalent organic frameworks (COFs). In a landmark 2023 study, she introduced a multi-AI-driven system that integrates ChatGPT and Bayesian optimization with seven large language model-based assistants to autonomously optimize the crystallinity of MOFs and COFs, demonstrating a revolutionary approach to laboratory automation. This highly cited work (145 citations) showcases her leadership in merging machine learning with experimental chemistry. Her broader contributions include developing accurate force fields for biomolecular simulations and advancing our understanding of water's anomalous properties. With over 20,000 citations and an h-index exceeding 70, Head-Gordon's work has fundamentally shaped computational materials science, earning her election to the National Academy of Sciences and the American Academy of Arts and Sciences.
Research Focus
Key Achievements
Top Papers
- 1ChatGPT Research Group for Optimizing the Crystallinity of MOFs and COFs145 citations · 2023