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Suvo Banik
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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
1232022
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
392022
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
242022
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
21*2023
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
202022
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
192021
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
132021
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
82022
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
62023
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
22024
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
22024
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
12023
Molecular-Resolution Imaging of Ice Crystallized from Liquid Water
JS Du, S Banik, H Chan, B Fritsch, Y Xia, A Hutzler, ...
arXiv preprint arXiv:2406.00915, 2024
2024
Development of a Gaussian Approximation Potential to Study Structure and Thermodynamics of Nickel Nanoclusters
S Banik, PS Dutta, S Manna, SKRS Sankaranarayanan
arXiv preprint arXiv:2405.14683, 2024
2024
What is medium-density amorphous ice?
I de Almeida Ribeiro, D Dhabal, S Banik, A Neogi, S Sankaranarayanan, ...
Bulletin of the American Physical Society, 2024
2024
Physics-Driven Modeling of the Metal-Insulator Transition Temperature in W-Doped VO2 through Symbolic Regression
S Banik, S Shriram, S Sankaranarayanan, S Ramanathan
Bulletin of the American Physical Society, 2024
2024
Erratum:“Learning the stable and metastable phase diagram to accelerate the discovery of metastable phases of boron”[APL Mach. Learn. 2, 016103 (2024)]
K Balasubramanian, S Banik, S Manna, S Srinivasan, ...
APL Machine Learning 2 (1), 2024
2024
Interzeolite transformation through cross-nucleation
C Chu-Jon, A Bertolazzo, S Banik, S Sankaranarayanan, V Molinero
2024
Adhesion of impure ice on surfaces
R Chatterjee, RU Thanjukutty, C Carducci, A Neogi, S Chakraborty, ...
Materials Horizons 11 (2), 419-427, 2024
2024
CEGANN: CRYSTAL EDGE GRAPH ATTENTION NEURAL NETWORK
HT CHAN, S BANIK, S SANKARANARAYANAN
Argonne National Lab.(ANL), Argonne, IL (United States), 2023
2023
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