Ravinder Bhattoo

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N. M. Anoop KrishnanAssociate Professor, Indian Institute of Technology DelhiCorreu electrònic verificat a iitd.ac.in
HARIPRASAD KODAMANAAssociate Professor, Department of Chemical Engineering, (Jointly with) Yardi School of AICorreu electrònic verificat a iitd.ac.in
Mathieu BauchyAssociate Professor, UCLACorreu electrònic verificat a ucla.edu
Nitya Nand GosvamiDepartment of Materials Science and Engineering, Indian Institute of Technology DelhiCorreu electrònic verificat a iitd.ac.in
Manish AgarwalComputer Services Center, Indian Institute of TechnologyCorreu electrònic verificat a cc.iitd.ac.in
Sumanta DasAssociate Professor, University of Rhode IslandCorreu electrònic verificat a uri.edu
Amarnath R. AlluCSIR-Central glass and ceramic research instituteCorreu electrònic verificat a cgcri.res.in
Nerea MascaraqueURSA Insulation S.A.Correu electrònic verificat a ursa.com
Morten M. SmedskjaerProfessor, Aalborg UniversityCorreu electrònic verificat a bio.aau.dk
Pratik BhaskarStudent at Indian Institute of Technology Delhi, IndiaCorreu electrònic verificat a iitd.ac.in
Gaurav N. SantProfessor and Pritzker Chair in Sustainability, UCLACorreu electrònic verificat a ucla.edu
Yann Le PapeOak Ridge National LaboratoryCorreu electrònic verificat a ornl.gov
Sukanya GhoshPost-doctoral Fellow, The Wistar InstituteCorreu electrònic verificat a wistar.org
Naresh BhatnagarProfessor of Mechanical Engineering, Indian Institute of Technology, DelhiCorreu electrònic verificat a mech.iitd.ac.in
Sumanta K DasNiels Bohr Institute, Copenhagen UniversityCorreu electrònic verificat a nbi.ku.dk
Mikkel BødkerPh.D.
Prof. Subhendu GhoshDepartment of Biophysics, University of Delhi South CampusCorreu electrònic verificat a south.du.ac.in
Dr. Rajendra Kumar VishwakarmaSenior Principal Scientist, CSIR - Central Institute of Mining & Fuel ResearchCorreu electrònic verificat a cimfr.nic.in

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Ravinder Bhattoo

Altres nomsRavinder Ravinder, R Ravinder

Assistant Professor, Indian Institute of Technology Indore

Correu electrònic verificat a iiti.ac.in - Pàgina d'inici

Structural analysis and design Machine learning Peridynamics Molecular dynamics Material science


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
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	101	2019
Deep Learning Aided Rational Design of Oxide Glasses R Ravinder, KH Sridhara, S Bishnoi, HS Grover, M Bauchy, J Jayadeva, ... Materials Horizons, 2020	75*	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	47	2021
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 21st century R Ravinder, V Venugopal, S Bishnoi, S Singh, M Zaki, HS Grover, ... International Journal of Applied Glass Science, 2021	37	2021
Density–stiffness scaling in minerals upon disordering: Irradiation vs. vitrification NMA Krishnan, R Ravinder, R Kumar, Y Le Pape, G Sant, M Bauchy Acta Materialia 166, 611-617, 2019	36	2019
Cooling rate effects on the structure of 45S5 bioglass: Insights from experiments and simulations P Bhaskar, R Kumar, Y Maurya, R Ravinder, AR Allu, S Das, NN Gosvami, ... Journal of Non-Crystalline Solids 534, 119952, 2020	35	2020
Learning articulated rigid body dynamics with lagrangian graph neural network R Bhattoo, S Ranu, NM Krishnan Advances in Neural Information Processing Systems 35, 29789-29800, 2022	31	2022
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, 118439, 2022	31	2022
Learning the dynamics of particle-based systems with lagrangian graph neural networks R Bhattoo, S Ranu, NMA Krishnan Machine Learning: Science and Technology 4 (1), 015003, 2023	28	2023
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	27	2022
Redox sensitive self-assembling dipeptide for sustained intracellular drug delivery S Dhawan, S Ghosh, R Ravinder, SS Bais, S Basak, NMA Krishnan, ... Bioconjugate chemistry 30 (9), 2458-2468, 2019	27	2019
Evidence of a two-dimensional glass transition in graphene: Insights from molecular simulations R Ravinder, R Kumar, M Agarwal, NMA Krishnan Scientific Reports 9 (1), 4517, 2019	27	2019
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 fracture upon ballistic impact: new insights from peridynamics simulations J Rivera, J Berjikian, R Ravinder, H Kodamana, S Das, N Bhatnagar, ... Frontiers in Materials 6, 239, 2019	24	2019
A Peridynamics-Based Micromechanical Modeling Approach for Random Heterogeneous Structural Materials S Nayak, R Ravinder, NM Krishnan, S Das Materials 13 (6), 1298, 2020	20	2020
Irradiation‐induced brittle‐to‐ductile transition in α‐quartz R Ravinder, A Kumar, R Kumar, P Vangla, NMA Krishnan Journal of the American Ceramic Society 103 (7), 3962-3970, 2020	15	2020
Revealing the compositional control of electrical, mechanical, optical, and physical properties of inorganic glasses R Ravinder, S Bishnoi, M Zaki, NM Krishnan arXiv preprint arXiv:2103.12050, 2021	10	2021
Learning the Dynamics of Physical Systems with Hamiltonian Graph Neural Networks S Bishnoi, R Bhattoo, J Jayadeva, S Ranu, NMA Krishnan ICLR 2023 Workshop on Physics for Machine Learning, 2023	7	2023

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