Suresh Bishnoi

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N. M. Anoop KrishnanAssociate Professor, Indian Institute of Technology DelhiAdresă de e-mail confirmată pe iitd.ac.in
Ravinder BhattooAssistant Professor, Indian Institute of Technology IndoreAdresă de e-mail confirmată pe iiti.ac.in
HARIPRASAD KODAMANAAssociate Professor, Department of Chemical Engineering, (Jointly with) Yardi School of AIAdresă de e-mail confirmată pe iitd.ac.in
Mathieu BauchyAssociate Professor, UCLAAdresă de e-mail confirmată pe ucla.edu
Mohd ZakiPh.D. (PMRF), Indian Institute of Technology DelhiAdresă de e-mail confirmată pe civil.iitd.ac.in
Sayan RanuIIT DelhiAdresă de e-mail confirmată pe iitd.ac.in
Nitya Nand GosvamiDepartment of Materials Science and Engineering, Indian Institute of Technology DelhiAdresă de e-mail confirmată pe iitd.ac.in
Vineeth VenugopalPost Doc, Massachusetts Institute of TechnologyAdresă de e-mail confirmată pe mit.edu
Manish AgarwalComputer Services Center, Indian Institute of TechnologyAdresă de e-mail confirmată pe cc.iitd.ac.in
Sajid MannanP.h.D. (PMRF),Indian Institute of Technology DelhiAdresă de e-mail confirmată pe iitd.ac.in
Edgar Dutra ZanottoProfessor of Materials Science and Engineering, Federal University of São Carlos, BrazilAdresă de e-mail confirmată pe ufscar.br
Johan F. S. ChristensenPhD Student, Aalborg UniversityAdresă de e-mail confirmată pe bio.aau.dk
Morten M. SmedskjaerProfessor, Aalborg UniversityAdresă de e-mail confirmată pe bio.aau.dk
Daniel Roberto CassarProfessor @ Ilum School of Science / CNPEMAdresă de e-mail confirmată pe ilum.cnpem.br
Jeanini JiustiFrench Alternative Energies and Atomic Energy Commission (CEA)Adresă de e-mail confirmată pe cea.fr

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Suresh Bishnoi

Research Scholar, IIT Delhi

Adresă de e-mail confirmată pe iitd.ac.in - Pagina de pornire

Materials informatics Machine Learning Molecular Dynamics


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Predicting Young's modulus of oxide glasses with sparse datasets using machine learning S Bishnoi, S Singh, R Ravinder, M Bauchy, NN Gosvami, H Kodamana, ... Journal of Non-Crystalline Solids 524, 119643, 2019	99	2019
Deep learning aided rational design of oxide glasses R Ravinder, KH Sridhara, S Bishnoi, HS Grover, M Bauchy, H Kodamana, ... Materials horizons 7 (7), 1819-1827, 2020	73*	2020
Scalable Gaussian processes for predicting the optical, physical, thermal, and mechanical properties of inorganic glasses with large datasets S Bishnoi, R Ravinder, HS Grover, H Kodamana, NMA Krishnan Materials advances 2 (1), 477-487, 2021	45	2021
Understanding the compositional control on electrical, mechanical, optical, and physical properties of inorganic glasses with interpretable machine learning R Bhattoo, S Bishnoi, M Zaki, NMA Krishnan Acta materialia 242, 118439, 2023	40*	2023
Unravelling the performance of physics-informed graph neural networks for dynamical systems A Thangamuthu, G Kumar, S Bishnoi, R Bhattoo, NM Krishnan, S Ranu Advances in Neural Information Processing Systems 35, 3691-3702, 2022	37	2022
Artificial intelligence and machine learning in glass science and technology: 21 challenges for the 21^st century Ravinder, V Venugopal, S Bishnoi, S Singh, M Zaki, HS Grover, M Bauchy, ... International journal of applied glass science 12 (3), 277-292, 2021	36	2021
Interpreting the optical properties of oxide glasses with machine learning and Shapely additive explanations M Zaki, V Venugopal, R Bhattoo, S Bishnoi, SK Singh, AR Allu, Jayadeva, ... Journal of the american ceramic society 105 (6), 4046-4057, 2022	28	2022
Enhancing the inductive biases of graph neural ode for modeling physical systems S Bishnoi, R Bhattoo, J Jayadeva, S Ranu, NMA Krishnan The Eleventh International Conference on Learning Representations, 2023	25*	2023
An adaptive, interacting, cluster-based model for predicting the transmission dynamics of COVID-19 R Ravinder, S Singh, S Bishnoi, A Jan, A Sharma, H Kodamana, ... Heliyon 6 (12), 2020	25*	2020
Glass hardness: Predicting composition and load effects via symbolic reasoning-informed machine learning S Mannan, M Zaki, S Bishnoi, DR Cassar, J Jiusti, JCF Faria, ... Acta Materialia 255, 119046, 2023	15	2023
Scalable Gaussian processes for predicting the optical, physical, thermal, and mechanical properties of inorganic glasses with large datasets, Mater. Adv. 2 (2021) 477–487 S Bishnoi, R Ravinder, HS Grover, H Kodamana, NMA Krishnan Royal Society of Chemistry. https://doi. org/10.1039/D0MA00764A.[Online …, 2021	9	2021
Discovering symbolic laws directly from trajectories with hamiltonian graph neural networks S Bishnoi, R Bhattoo, S Ranu, NMA Krishnan Machine Learning: Science and Technology 5 (3), 035049, 2024	8*	2024
Predicting oxide glass properties with low complexity neural network and physical and chemical descriptors S Bishnoi, S Badge, NMA Krishnan Journal of Non-Crystalline Solids 616, 122488, 2023	7	2023
BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics S Bishnoi, J Jayadeva, S Ranu, NMA Krishnan The Twelfth International Conference on Learning Representations, 2024	3*	2024
Geometric optics based analysis of radiation heat transfer in glass melting furnace foams..... 337 VV Ravinder, S Bishnoi, S Singh, M Zaki, HS Grover, M Bauchy, ... Artificial intelligence 12 (3), 2021		2021

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