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Benjamin Sanchez-Lengeling

Showing results (1-10 of 13) with videos related to

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Science (New York, N.Y.)|July 28, 2018
Inverse molecular design using machine learning: Generative models for matter engineeringBenjamin Sanchez-Lengeling, Alán Aspuru-Guzik
ACS Central Science|August 13, 2019
A Mixed Quantum Chemistry/Machine Learning Approach for the Fast and Accurate Prediction of Biochemical Redox Potentials and Its Large-Scale Application to 315 000 Redox ReactionsAdrian Jinich, Benjamin Sanchez-Lengeling, Haniu Ren, et al.
Journal of Chemical Information and Modeling|May 16, 2018
Reinforced Adversarial Neural Computer for de Novo Molecular DesignEvgeny Putin, Arip Asadulaev, Yan Ivanenkov, et al.
Scientific Reports|November 13, 2014
Quantum chemical approach to estimating the thermodynamics of metabolic reactionsAdrian Jinich, Dmitrij Rappoport, Ian Dunn, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 30, 2020
A thermodynamic atlas of carbon redox chemical spaceAdrian Jinich, Benjamin Sanchez-Lengeling, Haniu Ren, et al.
Nature Computational Science|December 8, 2025
Gradient-based optimization of complex nanoparticle heterostructures enabled by deep learning on heterogeneous graphsEric Sivonxay, Lucas Attia, Evan Walter Clark Spotte-Smith, et al.
Plos Computational Biology|October 26, 2018
Quantum chemistry reveals thermodynamic principles of redox biochemistryAdrian Jinich, Avi Flamholz, Haniu Ren, et al.
Elife|May 2, 2023
Metabolic activity organizes olfactory representationsWesley W Qian, Jennifer N Wei, Benjamin Sanchez-Lengeling, et al.
Frontiers in Pharmacology|January 4, 2021
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation ModelsDaniil Polykovskiy, Alexander Zhebrak, Benjamin Sanchez-Lengeling, et al.
Science (New York, N.Y.)|August 31, 2023
A principal odor map unifies diverse tasks in olfactory perceptionBrian K Lee, Emily J Mayhew, Benjamin Sanchez-Lengeling, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Science (New York, N.Y.)|July 28, 2018
Inverse molecular design using machine learning: Generative models for matter engineeringBenjamin Sanchez-Lengeling, Alán Aspuru-Guzik
ACS Central Science|August 13, 2019
A Mixed Quantum Chemistry/Machine Learning Approach for the Fast and Accurate Prediction of Biochemical Redox Potentials and Its Large-Scale Application to 315 000 Redox ReactionsAdrian Jinich, Benjamin Sanchez-Lengeling, Haniu Ren, et al.
Journal of Chemical Information and Modeling|May 16, 2018
Reinforced Adversarial Neural Computer for de Novo Molecular DesignEvgeny Putin, Arip Asadulaev, Yan Ivanenkov, et al.
Scientific Reports|November 13, 2014
Quantum chemical approach to estimating the thermodynamics of metabolic reactionsAdrian Jinich, Dmitrij Rappoport, Ian Dunn, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 30, 2020
A thermodynamic atlas of carbon redox chemical spaceAdrian Jinich, Benjamin Sanchez-Lengeling, Haniu Ren, et al.
Nature Computational Science|December 8, 2025
Gradient-based optimization of complex nanoparticle heterostructures enabled by deep learning on heterogeneous graphsEric Sivonxay, Lucas Attia, Evan Walter Clark Spotte-Smith, et al.
Plos Computational Biology|October 26, 2018
Quantum chemistry reveals thermodynamic principles of redox biochemistryAdrian Jinich, Avi Flamholz, Haniu Ren, et al.
Elife|May 2, 2023
Metabolic activity organizes olfactory representationsWesley W Qian, Jennifer N Wei, Benjamin Sanchez-Lengeling, et al.
Frontiers in Pharmacology|January 4, 2021
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation ModelsDaniil Polykovskiy, Alexander Zhebrak, Benjamin Sanchez-Lengeling, et al.
Science (New York, N.Y.)|August 31, 2023
A principal odor map unifies diverse tasks in olfactory perceptionBrian K Lee, Emily J Mayhew, Benjamin Sanchez-Lengeling, et al.
Pageof 2