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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Bibliografische gegevens
Hoofdauteurs: 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
Formaat: Artikel
Taal:Engels
Gepubliceerd in: MDPI AG 2025-06-01
Reeks:Applied Sciences
Onderwerpen:
organic chemistry synthesis
computational chemistry
laboratory automation
AI-driven intelligent chemical experiment
cloud-based shared laboratory
Online toegang:https://www.mdpi.com/2076-3417/15/13/7387
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