Zichao Rong

Papers

Total Citations

145

H-Index

About

Dr. Zichao Rong is a pioneering researcher at the intersection of artificial intelligence and materials chemistry, best known for integrating large language models with experimental workflows. His most cited work, the 2023 study "ChatGPT Research Group for Optimizing the Crystallinity of MOFs and COFs" (145 citations), introduced a groundbreaking multi-AI-driven system that employs seven LLM-based assistants alongside Bayesian optimization and machine learning algorithms. This system autonomously orchestrates complex laboratory tasks, from experimental design to data analysis, dramatically accelerating the synthesis and optimization of metal-organic frameworks (MOFs) and covalent organic frameworks (COFs). By demonstrating that AI can function as a collaborative research group rather than a simple tool, Rong’s work has opened new paradigms for autonomous materials discovery. His contributions have been widely recognized for bridging the gap between computational intelligence and hands-on chemistry, offering a scalable blueprint for AI-augmented laboratories. With a growing citation impact, Dr. Rong continues to push the boundaries of how machine learning and natural language processing can transform experimental science, making him a leading voice in the emerging field of AI-driven chemical research.