| 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 | 93 | 2019 |
| Deep Learning Aided Rational Design of Oxide Glasses R Ravinder, KH Sridhara, S Bishnoi, HS Grover, M Bauchy, J Jayadeva, ... Materials Horizons, 2020 | 69* | 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 | 42 | 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 |
| 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 | 34 | 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 | 33 | 2022 |
| 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 | 30 | 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 | 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 | 27* | 2023 |
| 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 |
| 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 | 26 | 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 | 26* | 2020 |
| 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 | 26 | 2019 |
| 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 | 25 | 2022 |
| 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 | 22 | 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 | 14 | 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 |
| Lagrangian neural network with differentiable symmetries and relational inductive bias R Bhattoo, S Ranu, NM Krishnan arXiv preprint arXiv:2110.03266, 2021 | 6 | 2021 |
N. M. Anoop KrishnanAssociate Professor, Indian Institute of Technology DelhiVerified email at iitd.ac.in
