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Autonomous chemical research with large language models

Chemistry

Autonomous chemical research with large language models

D. A. Boiko, R. Macknight, et al.

Discover Coscientist, an innovative AI system powered by GPT-4 capable of autonomously designing, planning, and executing complex chemical experiments. Witness how it optimizes palladium-catalyzed cross-couplings and accelerates scientific research, as developed by Daniil A. Boiko, Robert MacKnight, Ben Kline, and Gabe Gomes.

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Playback language: English
Abstract
This paper introduces Coscientist, an AI system powered by GPT-4, capable of autonomously designing, planning, and executing complex chemical experiments. Coscientist leverages multiple LLMs and tools including internet and documentation search, code execution, and experimental automation. Its capabilities are demonstrated across six diverse tasks, including reaction optimization of palladium-catalyzed cross-couplings, showcasing its potential to accelerate scientific research.
Publisher
Nature
Published On
Dec 20, 2023
Authors
Daniil A. Boiko, Robert MacKnight, Ben Kline, Gabe Gomes
Tags
AI
chemical experiments
GPT-4
reaction optimization
scientific research
automation
cross-couplings

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