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Yashaswi Pathak

Showing results (1-10 of 6) with videos related to

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Journal of Computational Chemistry|December 18, 2019
BAND NN: A Deep Learning Framework for Energy Prediction and Geometry Optimization of Organic Small MoleculesSiddhartha Laghuvarapu, Yashaswi Pathak, U Deva Priyakumar
Journal of Chemical Information and Modeling|February 6, 2021
Learning Atomic Interactions through Solvation Free Energy Prediction Using Graph Neural NetworksYashaswi Pathak, Sarvesh Mehta, U Deva Priyakumar
Indian Journal of Endocrinology and Metabolism|October 10, 2017
Metabolic Status and Hypogonadism in Human Immunodeficiency Virus-infected MalesSarita Bajaj, Yashaswi Pathak, Sharad Varma, et al.
The Journal of Physical Chemistry Letters|May 31, 2022
Deep Reinforcement Learning for Molecular Inverse Problem of Nuclear Magnetic Resonance Spectra to Molecular StructureBhuvanesh Sridharan, Sarvesh Mehta, Yashaswi Pathak, et al.
Physical Chemistry Chemical Physics : PCCP|November 18, 2020
Deep learning enabled inorganic material generatorYashaswi Pathak, Karandeep Singh Juneja, Girish Varma, et al.
Chemical Science|October 18, 2021
MEMES: Machine learning framework for Enhanced MolEcular ScreeningSarvesh Mehta, Siddhartha Laghuvarapu, Yashaswi Pathak, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Journal of Computational Chemistry|December 18, 2019
BAND NN: A Deep Learning Framework for Energy Prediction and Geometry Optimization of Organic Small MoleculesSiddhartha Laghuvarapu, Yashaswi Pathak, U Deva Priyakumar
Journal of Chemical Information and Modeling|February 6, 2021
Learning Atomic Interactions through Solvation Free Energy Prediction Using Graph Neural NetworksYashaswi Pathak, Sarvesh Mehta, U Deva Priyakumar
Indian Journal of Endocrinology and Metabolism|October 10, 2017
Metabolic Status and Hypogonadism in Human Immunodeficiency Virus-infected MalesSarita Bajaj, Yashaswi Pathak, Sharad Varma, et al.
The Journal of Physical Chemistry Letters|May 31, 2022
Deep Reinforcement Learning for Molecular Inverse Problem of Nuclear Magnetic Resonance Spectra to Molecular StructureBhuvanesh Sridharan, Sarvesh Mehta, Yashaswi Pathak, et al.
Physical Chemistry Chemical Physics : PCCP|November 18, 2020
Deep learning enabled inorganic material generatorYashaswi Pathak, Karandeep Singh Juneja, Girish Varma, et al.
Chemical Science|October 18, 2021
MEMES: Machine learning framework for Enhanced MolEcular ScreeningSarvesh Mehta, Siddhartha Laghuvarapu, Yashaswi Pathak, et al.
Pageof 1