Ha L. Nguyen

Papers

Total Citations

145

H-Index

About

Ha L. Nguyen is a pioneering researcher at the intersection of artificial intelligence and materials chemistry, whose work redefines how advanced porous materials are designed and synthesized. Her primary research areas span reticular chemistry—focusing on metal-organic frameworks (MOFs) and covalent organic frameworks (COFs)—and the integration of large language models and machine learning to accelerate scientific discovery. Nguyen’s most notable contribution is the development of a multi-AI-driven system that leverages ChatGPT and Bayesian optimization, orchestrated by seven large language model-based assistants, to autonomously optimize the crystallinity of MOFs and COFs. This groundbreaking approach, detailed in her highly cited 2023 paper (145 citations), seamlessly coordinates experimental design, data analysis, and synthesis, effectively creating an AI-powered chemistry laboratory. By demonstrating that AI can actively guide complex materials synthesis, Nguyen has opened new frontiers for high-throughput experimentation and intelligent automation in chemistry. Her work not only showcases remarkable technical innovation but also offers a scalable blueprint for integrating machine learning into routine laboratory workflows, making her a leading voice in the emerging field of AI-driven materials discovery.