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Priyanka Raghavan

Showing results (1-10 of 8) with videos related to

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Nature Communications|March 1, 2022
Autonomous platforms for data-driven organic synthesisWenhao Gao, Priyanka Raghavan, Connor W Coley
Journal of the American Chemical Society|March 2, 2025
Revealing the Relationship between Publication Bias and Chemical Reactivity with Contrastive LearningWenhao Gao, Priyanka Raghavan, Ron Shprints, et al.
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.
Journal of the American Chemical Society|September 25, 2025
Anomeric Selectivity of Glycosylations through a Machine Learning LensNatasha Videcrantz Faurschou, Victor Friis, Priyanka Raghavan, et al.
Chemical Science|May 22, 2026
A machine learning-based workflow for transaminase selectionAlexander J Rago, Priyanka Raghavan, Lisandra Santiago-Capeles, et al.
ACS Central Science|January 1, 2024
Dataset Design for Building Models of Chemical ReactivityPriyanka Raghavan, Brittany C Haas, Madeline E Ruos, et al.
Journal of the American Chemical Society|May 20, 2024
Incorporating Synthetic Accessibility in Drug Design: Predicting Reaction Yields of Suzuki Cross-Couplings by Leveraging AbbVie's 15-Year Parallel Library Data SetPriyanka Raghavan, Alexander J Rago, Pritha Verma, et al.
Science Advances|May 26, 2018
Orientation-independent room temperature optical <sup>13</sup>C hyperpolarization in powdered diamondAshok Ajoy, Kristina Liu, Raffi Nazaryan, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Nature Communications|March 1, 2022
Autonomous platforms for data-driven organic synthesisWenhao Gao, Priyanka Raghavan, Connor W Coley
Journal of the American Chemical Society|March 2, 2025
Revealing the Relationship between Publication Bias and Chemical Reactivity with Contrastive LearningWenhao Gao, Priyanka Raghavan, Ron Shprints, et al.
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.
Journal of the American Chemical Society|September 25, 2025
Anomeric Selectivity of Glycosylations through a Machine Learning LensNatasha Videcrantz Faurschou, Victor Friis, Priyanka Raghavan, et al.
Chemical Science|May 22, 2026
A machine learning-based workflow for transaminase selectionAlexander J Rago, Priyanka Raghavan, Lisandra Santiago-Capeles, et al.
ACS Central Science|January 1, 2024
Dataset Design for Building Models of Chemical ReactivityPriyanka Raghavan, Brittany C Haas, Madeline E Ruos, et al.
Journal of the American Chemical Society|May 20, 2024
Incorporating Synthetic Accessibility in Drug Design: Predicting Reaction Yields of Suzuki Cross-Couplings by Leveraging AbbVie's 15-Year Parallel Library Data SetPriyanka Raghavan, Alexander J Rago, Pritha Verma, et al.
Science Advances|May 26, 2018
Orientation-independent room temperature optical <sup>13</sup>C hyperpolarization in powdered diamondAshok Ajoy, Kristina Liu, Raffi Nazaryan, et al.
Pageof 1