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Connor W Coley

Showing results (71-80 of 113) with videos related to

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Nature Communications|June 10, 2022
Deep learning driven biosynthetic pathways navigation for natural products with BioNavi-NPShuangjia Zheng, Tao Zeng, Chengtao Li, et al.
Nature Biotechnology|April 11, 2025
Hyperspectral reporters for long-distance and wide-area detection of gene expression in living bacteriaYonatan Chemla, Itai Levin, Yueyang Fan, et al.
Chemical Science|June 7, 2021
Towards efficient discovery of green synthetic pathways with Monte Carlo tree search and reinforcement learningXiaoxue Wang, Yujie Qian, Hanyu Gao, et al.
ACS Central Science|December 18, 2018
Using Machine Learning To Predict Suitable Conditions for Organic ReactionsHanyu Gao, Thomas J Struble, Connor W Coley, et al.
Chemical Communications (Cambridge, England)|July 11, 2018
Flow chemistry-enabled studies of rhodium-catalyzed hydroformylation reactionsCheng Zhu, Keshav Raghuvanshi, Connor W Coley, et al.
ACS Central Science|April 28, 2025
Challenging Reaction Prediction Models to Generalize to Novel ChemistryJohn Bradshaw, Anji Zhang, Babak Mahjour, et al.
Nano Letters|March 25, 2026
Polymerized Short Sequences as a Template for Protein Folding and EvolutionTianyi Jin, Jacob I Sass, Wenhao Gao, et al.
The Journal of Organic Chemistry|May 1, 2023
Negative Data in Data Sets for Machine Learning TrainingMichael P Maloney, Connor W Coley, Samuel Genheden, et al.
Nature|August 20, 2025
Electron flow matching for generative reaction mechanism predictionJoonyoung F Joung, Mun Hong Fong, Nicholas Casetti, et al.
Organic Letters|May 1, 2023
Negative Data in Data Sets for Machine Learning TrainingMichael P Maloney, Connor W Coley, Samuel Genheden, et al.
Pageof 12

Showing results (71-80 of 113) with videos related to

Sort By:
Pageof 12
Nature Communications|June 10, 2022
Deep learning driven biosynthetic pathways navigation for natural products with BioNavi-NPShuangjia Zheng, Tao Zeng, Chengtao Li, et al.
Nature Biotechnology|April 11, 2025
Hyperspectral reporters for long-distance and wide-area detection of gene expression in living bacteriaYonatan Chemla, Itai Levin, Yueyang Fan, et al.
Chemical Science|June 7, 2021
Towards efficient discovery of green synthetic pathways with Monte Carlo tree search and reinforcement learningXiaoxue Wang, Yujie Qian, Hanyu Gao, et al.
ACS Central Science|December 18, 2018
Using Machine Learning To Predict Suitable Conditions for Organic ReactionsHanyu Gao, Thomas J Struble, Connor W Coley, et al.
Chemical Communications (Cambridge, England)|July 11, 2018
Flow chemistry-enabled studies of rhodium-catalyzed hydroformylation reactionsCheng Zhu, Keshav Raghuvanshi, Connor W Coley, et al.
ACS Central Science|April 28, 2025
Challenging Reaction Prediction Models to Generalize to Novel ChemistryJohn Bradshaw, Anji Zhang, Babak Mahjour, et al.
Nano Letters|March 25, 2026
Polymerized Short Sequences as a Template for Protein Folding and EvolutionTianyi Jin, Jacob I Sass, Wenhao Gao, et al.
The Journal of Organic Chemistry|May 1, 2023
Negative Data in Data Sets for Machine Learning TrainingMichael P Maloney, Connor W Coley, Samuel Genheden, et al.
Nature|August 20, 2025
Electron flow matching for generative reaction mechanism predictionJoonyoung F Joung, Mun Hong Fong, Nicholas Casetti, et al.
Organic Letters|May 1, 2023
Negative Data in Data Sets for Machine Learning TrainingMichael P Maloney, Connor W Coley, Samuel Genheden, et al.
Pageof 12