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Title: Autonomous chemical research with large language models
Abstract Transformer-based large language models are making significant strides in various fields, such as natural language processing1–5, biology6,7, chemistry8–10and computer programming11,12. Here, we show the development and capabilities of Coscientist, an artificial intelligence system driven by GPT-4 that autonomously designs, plans and performs complex experiments by incorporating large language models empowered by tools such as internet and documentation search, code execution and experimental automation. Coscientist showcases its potential for accelerating research across six diverse tasks, including the successful reaction optimization of palladium-catalysed cross-couplings, while exhibiting advanced capabilities for (semi-)autonomous experimental design and execution. Our findings demonstrate the versatility, efficacy and explainability of artificial intelligence systems like Coscientist in advancing research.  more » « less
Award ID(s):
2202693
PAR ID:
10490898
Author(s) / Creator(s):
; ; ;
Publisher / Repository:
Springer Nature
Date Published:
Journal Name:
Nature
Volume:
624
Issue:
7992
ISSN:
0028-0836
Page Range / eLocation ID:
570 to 578
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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