Transforming organic chemistry research paradigms: moving from manual efforts to the intersection of automation and artificial intelligence

• URL: http://arxiv.org/abs/2312.00808v1
• Date: Sun, 26 Nov 2023 09:46:03 GMT
• Title: Transforming organic chemistry research paradigms: moving from manual efforts to the intersection of automation and artificial intelligence
• Authors: Chengchun Liu, Yuntian Chen, Fanyang Mo
• Abstract summary: Organic chemistry is undergoing a major paradigm shift, moving from a labor-intensive approach to a new era dominated by automation and AI. This article examines the multiple opportunities and challenges presented by this paradigm shift and explores its far-reaching implications. It provides valuable insights into the future trajectory of organic chemistry research, which is increasingly defined by the synergistic interaction of automation and AI.
• Score: 0.9883261192383611
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Organic chemistry is undergoing a major paradigm shift, moving from a labor-intensive approach to a new era dominated by automation and artificial intelligence (AI). This transformative shift is being driven by technological advances, the ever-increasing demand for greater research efficiency and accuracy, and the burgeoning growth of interdisciplinary research. AI models, supported by computational power and algorithms, are drastically reshaping synthetic planning and introducing groundbreaking ways to tackle complex molecular synthesis. In addition, autonomous robotic systems are rapidly accelerating the pace of discovery by performing tedious tasks with unprecedented speed and precision. This article examines the multiple opportunities and challenges presented by this paradigm shift and explores its far-reaching implications. It provides valuable insights into the future trajectory of organic chemistry research, which is increasingly defined by the synergistic interaction of automation and AI.

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