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Connor W Coley

Showing results (41-50 of 113) with videos related to

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Plos Computational Biology|February 10, 2022
Machine learning modeling of family wide enzyme-substrate specificity screensSamuel Goldman, Ria Das, Kevin K Yang, et al.
ACS Central Science|July 3, 2019
Learning Retrosynthetic Planning through Simulated ExperienceJohn S Schreck, Connor W Coley, Kyle J M Bishop
Chemical Society Reviews|May 22, 2026
An overview of reaction outcome prediction with physics-based and data-driven methodsJoonyoung F Joung, Nicholas Casetti, Priyanka Raghavan, et al.
The Journal of Chemical Physics|November 27, 2024
Comment on "Molecular hypergraph neural networks" [J. Chem. Phys. 160, 144307 (2024)]Nicholas Casetti, Pragnay Nevatia, Junwu Chen, et al.
Journal of Visualized Experiments : Jove|May 29, 2018
A Modular Microfluidic Technology for Systematic Studies of Colloidal Semiconductor NanocrystalsRobert W Epps, Kobi C Felton, Connor W Coley, et al.
Digital Discovery|August 19, 2024
Extracting structured data from organic synthesis procedures using a fine-tuned large language modelQianxiang Ai, Fanwang Meng, Jiale Shi, et al.
Journal of Chemical Information and Modeling|January 9, 2018
SCScore: Synthetic Complexity Learned from a Reaction CorpusConnor W Coley, Luke Rogers, William H Green, et al.
Lab on a Chip|October 25, 2017
Automated microfluidic platform for systematic studies of colloidal perovskite nanocrystals: towards continuous nano-manufacturingRobert W Epps, Kobi C Felton, Connor W Coley, et al.
Journal of Chemical Information and Modeling|July 25, 2020
Uncertainty Quantification Using Neural Networks for Molecular Property PredictionLior Hirschfeld, Kyle Swanson, Kevin Yang, et al.
Journal of Chemical Information and Modeling|June 27, 2023
RxnScribe: A Sequence Generation Model for Reaction Diagram ParsingYujie Qian, Jiang Guo, Zhengkai Tu, et al.
Pageof 12

Showing results (41-50 of 113) with videos related to

Sort By:
Pageof 12
Plos Computational Biology|February 10, 2022
Machine learning modeling of family wide enzyme-substrate specificity screensSamuel Goldman, Ria Das, Kevin K Yang, et al.
ACS Central Science|July 3, 2019
Learning Retrosynthetic Planning through Simulated ExperienceJohn S Schreck, Connor W Coley, Kyle J M Bishop
Chemical Society Reviews|May 22, 2026
An overview of reaction outcome prediction with physics-based and data-driven methodsJoonyoung F Joung, Nicholas Casetti, Priyanka Raghavan, et al.
The Journal of Chemical Physics|November 27, 2024
Comment on "Molecular hypergraph neural networks" [J. Chem. Phys. 160, 144307 (2024)]Nicholas Casetti, Pragnay Nevatia, Junwu Chen, et al.
Journal of Visualized Experiments : Jove|May 29, 2018
A Modular Microfluidic Technology for Systematic Studies of Colloidal Semiconductor NanocrystalsRobert W Epps, Kobi C Felton, Connor W Coley, et al.
Digital Discovery|August 19, 2024
Extracting structured data from organic synthesis procedures using a fine-tuned large language modelQianxiang Ai, Fanwang Meng, Jiale Shi, et al.
Journal of Chemical Information and Modeling|January 9, 2018
SCScore: Synthetic Complexity Learned from a Reaction CorpusConnor W Coley, Luke Rogers, William H Green, et al.
Lab on a Chip|October 25, 2017
Automated microfluidic platform for systematic studies of colloidal perovskite nanocrystals: towards continuous nano-manufacturingRobert W Epps, Kobi C Felton, Connor W Coley, et al.
Journal of Chemical Information and Modeling|July 25, 2020
Uncertainty Quantification Using Neural Networks for Molecular Property PredictionLior Hirschfeld, Kyle Swanson, Kevin Yang, et al.
Journal of Chemical Information and Modeling|June 27, 2023
RxnScribe: A Sequence Generation Model for Reaction Diagram ParsingYujie Qian, Jiang Guo, Zhengkai Tu, et al.
Pageof 12