Deep Reinforcement Learning-Based Self-Optimization of Flow Chemistry
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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American Chemical Society
2025-05-01
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| Series: | ACS Engineering Au |
| Online Access: | https://doi.org/10.1021/acsengineeringau.5c00004 |
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| _version_ | 1849688477935861760 |
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| author | Ashish Yewale Yihui Yang Neda Nazemifard Charles D. Papageorgiou Chris D. Rielly Brahim Benyahia |
| author_facet | Ashish Yewale Yihui Yang Neda Nazemifard Charles D. Papageorgiou Chris D. Rielly Brahim Benyahia |
| author_sort | Ashish Yewale |
| collection | DOAJ |
| format | Article |
| id | doaj-art-d6cf7ab40c7e4f79b377dc38ddc00735 |
| institution | DOAJ |
| issn | 2694-2488 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | American Chemical Society |
| record_format | Article |
| series | ACS Engineering Au |
| spelling | doaj-art-d6cf7ab40c7e4f79b377dc38ddc007352025-08-20T03:21:59ZengAmerican Chemical SocietyACS Engineering Au2694-24882025-05-015324726610.1021/acsengineeringau.5c00004Deep Reinforcement Learning-Based Self-Optimization of Flow ChemistryAshish Yewale0Yihui Yang1Neda Nazemifard2Charles D. Papageorgiou3Chris D. Rielly4Brahim Benyahia5Department of Chemical Engineering, Loughborough University, Loughborough, Leicestershire, U.K.Synthetic Molecule Process Development, Process Engineering and Technology, Takeda Pharmaceuticals International Company, Cambridge, Massachusetts, United StatesSynthetic Molecule Process Development, Process Engineering and Technology, Takeda Pharmaceuticals International Company, Cambridge, Massachusetts, United StatesSynthetic Molecule Process Development, Process Engineering and Technology, Takeda Pharmaceuticals International Company, Cambridge, Massachusetts, United StatesDepartment of Chemical Engineering, Loughborough University, Loughborough, Leicestershire, U.K.Department of Chemical Engineering, Loughborough University, Loughborough, Leicestershire, U.K.https://doi.org/10.1021/acsengineeringau.5c00004 |
| spellingShingle | Ashish Yewale Yihui Yang Neda Nazemifard Charles D. Papageorgiou Chris D. Rielly Brahim Benyahia Deep Reinforcement Learning-Based Self-Optimization of Flow Chemistry ACS Engineering Au |
| title | Deep Reinforcement Learning-Based Self-Optimization of Flow Chemistry |
| title_full | Deep Reinforcement Learning-Based Self-Optimization of Flow Chemistry |
| title_fullStr | Deep Reinforcement Learning-Based Self-Optimization of Flow Chemistry |
| title_full_unstemmed | Deep Reinforcement Learning-Based Self-Optimization of Flow Chemistry |
| title_short | Deep Reinforcement Learning-Based Self-Optimization of Flow Chemistry |
| title_sort | deep reinforcement learning based self optimization of flow chemistry |
| url | https://doi.org/10.1021/acsengineeringau.5c00004 |
| work_keys_str_mv | AT ashishyewale deepreinforcementlearningbasedselfoptimizationofflowchemistry AT yihuiyang deepreinforcementlearningbasedselfoptimizationofflowchemistry AT nedanazemifard deepreinforcementlearningbasedselfoptimizationofflowchemistry AT charlesdpapageorgiou deepreinforcementlearningbasedselfoptimizationofflowchemistry AT chrisdrielly deepreinforcementlearningbasedselfoptimizationofflowchemistry AT brahimbenyahia deepreinforcementlearningbasedselfoptimizationofflowchemistry |