The Artificial Intelligence-Driven Intelligent Laboratory for Organic Chemistry Synthesis

The Artificial Intelligence-Driven Intelligent Laboratory for Organic Chemistry Synthesis

The deep integration and application of artificial intelligence to organic chemistry are propelling the development of organic chemistry synthesis laboratories toward an intelligent automated laboratory model characterized by “hardware + software + AI”. This paper systematically explores the overall...

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Bibliographic Details
Main Authors:	Tan Li, Weining Song, Nanjiang Chen, Qi Wang, Fangfang Gao, Yalan Xing, Shouluan Wu, Chao Song, Junjin Li, Yu Liu, Shenghua Li, Congying Wu, Zhenyu Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2025-06-01
Series:	Applied Sciences
Subjects:	organic chemistry synthesis computational chemistry laboratory automation AI-driven intelligent chemical experiment cloud-based shared laboratory
Online Access:	https://www.mdpi.com/2076-3417/15/13/7387
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