Transforming organic chemistry research paradigms: Moving from manual efforts to the intersection of automation and artificial intelligence
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 ac...
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| Format: | Article |
| Language: | English |
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Science Press
2023-11-01
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| Series: | National Science Open |
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| Online Access: | https://www.sciengine.com/doi/10.1360/nso/20230037 |
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| author | Liu Chengchun Chen Yuntian Mo Fanyang |
| author_facet | Liu Chengchun Chen Yuntian Mo Fanyang |
| author_sort | Liu Chengchun |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-4338689c44bc4d93aa78bcc0968ac88a |
| institution | OA Journals |
| issn | 2097-1168 |
| language | English |
| publishDate | 2023-11-01 |
| publisher | Science Press |
| record_format | Article |
| series | National Science Open |
| spelling | doaj-art-4338689c44bc4d93aa78bcc0968ac88a2025-08-20T02:02:04ZengScience PressNational Science Open2097-11682023-11-01310.1360/nso/20230037eb33e642Transforming organic chemistry research paradigms: Moving from manual efforts to the intersection of automation and artificial intelligenceLiu Chengchun0Chen Yuntian1Mo Fanyang2["School of Materials Science and Engineering, Peking University, Beijing 100871, China"]["Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo 315000, China"]["School of Materials Science and Engineering, Peking University, Beijing 100871, China","AI for Science (AI4S)-Preferred Program, Peking University Shenzhen Graduate School, Shenzhen 518055, China"]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.https://www.sciengine.com/doi/10.1360/nso/20230037organic chemistryautomation platformartificial intelligencealgorithms |
| spellingShingle | Liu Chengchun Chen Yuntian Mo Fanyang Transforming organic chemistry research paradigms: Moving from manual efforts to the intersection of automation and artificial intelligence National Science Open organic chemistry automation platform artificial intelligence algorithms |
| title | Transforming organic chemistry research paradigms: Moving from manual efforts to the intersection of automation and artificial intelligence |
| title_full | Transforming organic chemistry research paradigms: Moving from manual efforts to the intersection of automation and artificial intelligence |
| title_fullStr | Transforming organic chemistry research paradigms: Moving from manual efforts to the intersection of automation and artificial intelligence |
| title_full_unstemmed | Transforming organic chemistry research paradigms: Moving from manual efforts to the intersection of automation and artificial intelligence |
| title_short | Transforming organic chemistry research paradigms: Moving from manual efforts to the intersection of automation and artificial intelligence |
| title_sort | transforming organic chemistry research paradigms moving from manual efforts to the intersection of automation and artificial intelligence |
| topic | organic chemistry automation platform artificial intelligence algorithms |
| url | https://www.sciengine.com/doi/10.1360/nso/20230037 |
| work_keys_str_mv | AT liuchengchun transformingorganicchemistryresearchparadigmsmovingfrommanualeffortstotheintersectionofautomationandartificialintelligence AT chenyuntian transformingorganicchemistryresearchparadigmsmovingfrommanualeffortstotheintersectionofautomationandartificialintelligence AT mofanyang transformingorganicchemistryresearchparadigmsmovingfrommanualeffortstotheintersectionofautomationandartificialintelligence |