In a groundbreaking scientific article recently published in ACS Central Science, a team of Berkeley researchers unveils the transformative potential of ChatGPT-based assistants in laboratory activities. By integrating a multi-AI system comprising seven independent ChatGPT assistant instances, the study showcases their remarkable ability to expedite the discovery of MOFs and COFs, revolutionizing the traditional research paradigm. These AI assistants assist human researchers in various tasks, including guiding research, conducting literature reviews, planning syntheses, designing lab equipment, consulting on safety, operating robotic platforms, and more. The findings herald a future where human-AI collaboration meets innovation, paving the way for accelerated breakthroughs in materials science.
Read more on the findings here: https://pubs.acs.org/doi/10.1021/acscentsci.3c01087
Citation:
ChatGPT Research Group for Optimizing the Crystallinity of MOFs and COFs
Zhiling Zheng, Oufan Zhang, Ha L. Nguyen, Nakul Rampal, Ali H. Alawadhi, Zichao Rong, Teresa Head-Gordon, Christian Borgs, Jennifer T. Chayes, and Omar M. Yaghi
ACS Central Science 2023 9 (11), 2161-2170
DOI: 10.1021/acscentsci.3c01087