| Machine Learning-Driven High-Throughput Screening of Alloy-Based Catalysts for Selective CO2 Hydrogenation to Methanol D Roy, SC Mandal, B Pathak ACS Applied Materials & Interfaces 13 (47), 56151-56163, 2021 | 61 | 2021 |
| Machine Learning Assisted Exploration of High Entropy Alloy-Based Catalysts for Selective CO2 Reduction to Methanol D Roy, SC Mandal, B Pathak The Journal of Physical Chemistry Letters 13 (25), 5991-6002, 2022 | 44 | 2022 |
| Developments of the heterogeneous and homogeneous CO2 hydrogenation to value-added C2+-based hydrocarbons and oxygenated products SC Mandal, A Das, D Roy, S Das, AS Nair, B Pathak Coordination Chemistry Reviews 471, 214737, 2022 | 22 | 2022 |
| Rational designing of bimetallic/trimetallic hydrogen evolution reaction catalysts using supervised machine learning NK Pandit, D Roy, SC Mandal, B Pathak The Journal of Physical Chemistry Letters 13 (32), 7583-7593, 2022 | 19 | 2022 |
| A Route Map of Machine Learning Approaches in Heterogeneous CO2 Reduction Reaction D Roy, A Das, S Manna, B Pathak The Journal of Physical Chemistry C 127 (2), 871-881, 2023 | 9 | 2023 |
| Machine learning aided interpretable approach for single nucleotide-based DNA sequencing using a model nanopore MK Jena, D Roy, B Pathak The Journal of Physical Chemistry Letters 13 (50), 11818-11830, 2022 | 8 | 2022 |
| Capacity prediction of K-ion batteries: a machine learning based approach for high throughput screening of electrode materials S Manna, D Roy, S Das, B Pathak Materials Advances 3 (21), 7833-7845, 2022 | 7 | 2022 |
| Silver Nanoparticle-Decorated Defective Zr-Based Metal–Organic Frameworks for Efficient Electrocatalytic Carbon Dioxide Reduction with Ultrahigh Mass Activity RK Aparna, V Surendran, D Roy, B Pathak, MM Shaijumon, S Mandal ACS Applied Energy Materials 6 (7), 4072-4078, 2023 | 6 | 2023 |
| Role of fluxionality and metastable isomers in the ORR activity: a case study RK Sharma, AS Nair, N Bharadwaj, D Roy, B Pathak The Journal of Physical Chemistry C 127 (1), 217-228, 2023 | 4 | 2023 |
| Synthesis of 1-indolyl-3, 5, 8-substituted γ-carbolines: one-pot solvent-free protocol and biological evaluation P Dudhe, MA Krishnan, K Yadav, D Roy, K Venkatasubbaiah, B Pathak, ... Beilstein Journal of Organic Chemistry 17 (1), 1453-1463, 2021 | 3 | 2021 |
| Machine Learning as a Tool for Specific Capacity Prediction of Prospective Potassium Battery Electrodes S Manna, D Roy, S Das, B Pathak | 1 | 2022 |
| Unravelling CO2 Reduction Reaction Intermediates on High Entropy Alloy Catalysts: An Interpretable Machine Learning Approach to Establish Scaling Relations D Roy, S Charan Mandal, A Das, B Pathak Chemistry–A European Journal 30 (6), e202302679, 2024 | | 2024 |
| Machine learning-based screening of Mn-PNP catalysts for the CO 2 reduction reaction using a region-wise ligand-encoded feature matrix A Das, D Roy, SC Mandal, B Pathak Energy Advances 3 (4), 854-860, 2024 | | 2024 |
| Artificially Intelligent Nanogap for Rapid DNA Sequencing: A Machine Learning Aided Quantum Tunneling Approach MK Jena, D Roy, S Mittal, B Pathak ACS Materials Letters 5 (9), 2488-2498, 2023 | | 2023 |
| Machine learning-driven prediction of band-alignment types in 2D hybrid perovskites E Mahal, D Roy, SS Manna, B Pathak Journal of Materials Chemistry A 11 (43), 23547-23555, 2023 | | 2023 |
| Energy level alignments between organic and inorganic layers in 2D layered perovskites: conjugation vs. substituent E Mahal, SC Mandal, D Roy, B Pathak Nanoscale 15 (17), 7962-7970, 2023 | | 2023 |
| Third generation tubulysin analogues and process of preparation thereof V Chelvam, A Pandit, RR Baddipally, K Yadav, B Pathak, D Roy US Patent 11,518,786, 2022 | | 2022 |
| Synthesis of 1-Indolyl-3, 5, 8-Substituted γ-Carbolines: One Pot Metal-Solvent Free Protocol and Biological Evaluation P Dudhe, MA Krishnan, K Yadav, D Roy, K Venkatasubbaiah, B Pathak, ... Beilstein Archives 2020 (1), 131, 2020 | | 2020 |
Biswarup PathakProfessor IIT IndoreVerified email at iiti.ac.in
