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Machine learning advancements in organic synthesis: A focused exploration of artificial intelligence applications in chemistry

  • Rizvi Syed Aal E Ali
  • , Jiaolong Meng
  • , Muhammad Ehtisham Ibraheem Khan
  • , Xuefeng Jiang*
  • *此作品的通讯作者
  • East China Normal University
  • University of Camerino
  • CAS - Shanghai Institute of Organic Chemistry

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Artificial intelligence (AI) is driving a revolution in chemistry, reshaping the landscape of molecular design. This review explores AI’s pivotal roles in the field of organic synthesis applications. AI accurately predicts reaction outcomes, controls chemical selectivity, simplifies synthesis planning, accelerates catalyst discovery, and fuels material innovation and so on. It seamlessly integrates data-driven algorithms with chemical intuition to redefine molecular design. As AI chemistry advances, it promises accelerated research, sustainability, and innovative solutions to chemistry’s pressing challenges. The fusion of AI and chemistry is poised to shape the field’s future profoundly, offering new horizons in precision and efficiency. This review encapsulates the transformation of AI in chemistry, marking a pivotal moment where algorithms and data converge to revolutionize the world of molecules.

源语言英语
期刊论文编号100049
期刊Artificial Intelligence Chemistry
卷2
期1
DOI
出版状态已出版 - 6月 2024

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