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...
Saved in:
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/13/7387 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849428978250547200 |
|---|---|
| author | 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 |
| author_facet | 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 |
| author_sort | Tan Li |
| collection | DOAJ |
| description | 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 framework of AI-driven intelligent laboratories for organic chemistry synthesis, achieving automation and flexibility through standardized experimental integration workstations and intelligent scheduling and collaborative management of experimental resources. By leveraging multimodal databases, the integration of large models, machine learning, and other AI technologies enables AI-driven closed-loop intelligent chemical experiments, including product prediction, molecular retrosynthetic planning, and synthesis reaction optimization. The paper proposes a cloud-based shared operational model for chemical laboratories, aiming to achieve socialized sharing and intelligent matching of experimental resources, thereby facilitating the accumulation and sharing of chemical experimental data to promote the intelligent development of organic chemistry synthesis experiments. Practical cases of building intelligent chemical laboratories are shared, providing paths for technology implementation in constructing the next generation of automated and intelligent chemical laboratories. |
| format | Article |
| id | doaj-art-e8260a79569f49d29b1069200dbd417f |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-e8260a79569f49d29b1069200dbd417f2025-08-20T03:28:29ZengMDPI AGApplied Sciences2076-34172025-06-011513738710.3390/app15137387The Artificial Intelligence-Driven Intelligent Laboratory for Organic Chemistry SynthesisTan Li0Weining Song1Nanjiang Chen2Qi Wang3Fangfang Gao4Yalan Xing5Shouluan Wu6Chao Song7Junjin Li8Yu Liu9Shenghua Li10Congying Wu11Zhenyu Zhang12School of Information Engineering, Nanchang University, Nanchang 330047, ChinaQuikTech Co., Ltd., Beijing 100088, ChinaSchool of Information Engineering, Nanchang University, Nanchang 330047, ChinaQuikTech Co., Ltd., Beijing 100088, ChinaSchool of Information Engineering, Nanchang University, Nanchang 330047, ChinaSchool of Materials Science and Engineering, Beihang University, Beijing 100191, ChinaQuikTech Co., Ltd., Beijing 100088, ChinaQuikTech Co., Ltd., Beijing 100088, ChinaSchool of Information Engineering, Nanchang University, Nanchang 330047, ChinaSchool of Information Engineering, Nanchang University, Nanchang 330047, ChinaSchool of Information Engineering, Nanchang University, Nanchang 330047, ChinaSchool of Information Engineering, Nanchang University, Nanchang 330047, ChinaSchool of Information Engineering, Nanchang University, Nanchang 330047, ChinaThe 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 framework of AI-driven intelligent laboratories for organic chemistry synthesis, achieving automation and flexibility through standardized experimental integration workstations and intelligent scheduling and collaborative management of experimental resources. By leveraging multimodal databases, the integration of large models, machine learning, and other AI technologies enables AI-driven closed-loop intelligent chemical experiments, including product prediction, molecular retrosynthetic planning, and synthesis reaction optimization. The paper proposes a cloud-based shared operational model for chemical laboratories, aiming to achieve socialized sharing and intelligent matching of experimental resources, thereby facilitating the accumulation and sharing of chemical experimental data to promote the intelligent development of organic chemistry synthesis experiments. Practical cases of building intelligent chemical laboratories are shared, providing paths for technology implementation in constructing the next generation of automated and intelligent chemical laboratories.https://www.mdpi.com/2076-3417/15/13/7387organic chemistry synthesiscomputational chemistrylaboratory automationAI-driven intelligent chemical experimentcloud-based shared laboratory |
| spellingShingle | 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 The Artificial Intelligence-Driven Intelligent Laboratory for Organic Chemistry Synthesis Applied Sciences organic chemistry synthesis computational chemistry laboratory automation AI-driven intelligent chemical experiment cloud-based shared laboratory |
| title | The Artificial Intelligence-Driven Intelligent Laboratory for Organic Chemistry Synthesis |
| title_full | The Artificial Intelligence-Driven Intelligent Laboratory for Organic Chemistry Synthesis |
| title_fullStr | The Artificial Intelligence-Driven Intelligent Laboratory for Organic Chemistry Synthesis |
| title_full_unstemmed | The Artificial Intelligence-Driven Intelligent Laboratory for Organic Chemistry Synthesis |
| title_short | The Artificial Intelligence-Driven Intelligent Laboratory for Organic Chemistry Synthesis |
| title_sort | artificial intelligence driven intelligent laboratory for organic chemistry synthesis |
| topic | organic chemistry synthesis computational chemistry laboratory automation AI-driven intelligent chemical experiment cloud-based shared laboratory |
| url | https://www.mdpi.com/2076-3417/15/13/7387 |
| work_keys_str_mv | AT tanli theartificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT weiningsong theartificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT nanjiangchen theartificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT qiwang theartificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT fangfanggao theartificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT yalanxing theartificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT shouluanwu theartificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT chaosong theartificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT junjinli theartificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT yuliu theartificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT shenghuali theartificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT congyingwu theartificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT zhenyuzhang theartificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT tanli artificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT weiningsong artificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT nanjiangchen artificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT qiwang artificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT fangfanggao artificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT yalanxing artificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT shouluanwu artificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT chaosong artificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT junjinli artificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT yuliu artificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT shenghuali artificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT congyingwu artificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis AT zhenyuzhang artificialintelligencedrivenintelligentlaboratoryfororganicchemistrysynthesis |