| Reconfigurable perovskite nickelate electronics for artificial intelligence HT Zhang, TJ Park, ANMN Islam, DSJ Tran, S Manna, Q Wang, S Mondal, ... Science 375 (6580), 533-539, 2022 | 147 | 2022 |
| Learning in continuous action space for developing high dimensional potential energy models S Manna, TD Loeffler, R Batra, S Banik, H Chan, B Varughese, ... Nature communications 13 (1), 368, 2022 | 48 | 2022 |
| CEGANN: Crystal Edge Graph Attention Neural Network for multiscale classification of materials environment S Banik, D Dhabal, H Chan, S Manna, M Cherukara, V Molinero, ... npj Computational Materials 9 (1), 23, 2023 | 31* | 2023 |
| Entropy analysis during heat dissipation via thermomagnetic convection in a ferrofluid-filled enclosure S Banik, AS Mirja, N Biswas, R Ganguly International Communications in Heat and Mass Transfer 138, 106323, 2022 | 26 | 2022 |
| Accurate determination of solvation free energies of neutral organic compounds from first principles L Pereyaslavets, G Kamath, O Butin, A Illarionov, M Olevanov, I Kurnikov, ... Nature communications 13 (1), 414, 2022 | 25 | 2022 |
| Learning with delayed rewards—a case study on inverse defect design in 2D materials S Banik, TD Loeffler, R Batra, H Singh, MJ Cherukara, ... ACS Applied Materials & Interfaces 13 (30), 36455-36464, 2021 | 25 | 2021 |
| Reinforcement learning in discrete action space applied to inverse defect design TD Loeffler, S Banik, TK Patra, M Sternberg, SKRS Sankaranarayanan Journal of Physics Communications 5 (3), 031001, 2021 | 18 | 2021 |
| A Continuous Action Space Tree search for INverse desiGn (CASTING) framework for materials discovery S Banik, T Loefller, S Manna, H Chan, S Srinivasan, P Darancet, ... npj Computational Materials 9 (1), 177, 2023 | 11 | 2023 |
| Unusual high hardness and load-dependent mechanical characteristics of hydrogenated carbon–nitrogen hybrid films N Dwivedi, K Balasubramanian, R Sahu, S Manna, S Banik, C Dhand, ... ACS Applied Materials & Interfaces 14 (17), 20220-20229, 2022 | 9 | 2022 |
| Evaluating generalized feature importance via performance assessment of machine learning models for predicting elastic properties of materials S Banik, K Balasubramanian, S Manna, S Derrible, ... Computational Materials Science 236, 112847, 2024 | 8* | 2024 |
| Learning the stable and metastable phase diagram to accelerate the discovery of metastable phases of boron K Balasubramanian, S Banik, S Manna, S Srinivasan, ... APL Machine Learning 2 (1), 2024 | 5 | 2024 |
| Adhesion of impure ice on surfaces R Chatterjee, RU Thanjukutty, C Carducci, A Neogi, S Chakraborty, ... Materials Horizons 11 (2), 419-427, 2024 | 2 | 2024 |
| Surface premelting of ice far below the triple point Y Lin, T Zhou, ND Rosenmann, L Yu, TE Gage, S Banik, A Neogi, H Chan, ... Proceedings of the National Academy of Sciences 120, e2304148120, 2023 | 2 | 2023 |
| Medium-density amorphous ice unveils shear rate as a new dimension in water’s phase diagram I de Almeida Ribeiro, D Dhabal, R Kumar, S Banik, ... Proceedings of the National Academy of Sciences 121 (48), e2414444121, 2024 | 1 | 2024 |
| Proton conducting neuromorphic materials and devices Y Yuan, RK Patel, S Banik, TB Reta, RS Bisht, DD Fong, ... Chemical Reviews 124 (16), 9733-9784, 2024 | 1 | 2024 |
| Machine learning enabled discovery of superhard and ultrahard carbon polymorphs K Balasubramanian, S Manna, S Banik, S Srinivasan, R Batra, ... Computational Materials Science 246, 113506, 2025 | | 2025 |
| Development of a Machine Learning Potential to Study the Structure and Thermodynamics of Nickel Nanoclusters S Banik, PS Dutta, S Manna, SKRS Sankaranarayanan The Journal of Physical Chemistry A, 2024 | | 2024 |
| Modeling of the metal–insulator transition temperature in alio-valently doped VO2 through symbolic regression S Banik, SV Shriram, S Ramanathan, S Sankaranarayanan Journal of Applied Physics 136 (15), 2024 | | 2024 |
| Interzeolite Transformation through Cross-Nucleation: A Molecular Mechanism for Seed-Assisted Synthesis C Chu-Jon, E Martinez, AA Bertolazzo, S Banik, JD Rimer, ... Journal of the American Chemical Society, 2024 | | 2024 |
| Machine Learning a Simple Interpretable Short-Range Potential for Silica A Koneru, H Chan, S Manna, S Banik, V Molinero, ... Journal of Chemical Theory and Computation 20 (19), 8665-8674, 2024 | | 2024 |
Subramanian KRS SankaranarayananArgonne National LaboratoryVerified email at anl.gov
