| A foundation model for atomistic materials chemistry I Batatia, P Benner, Y Chiang, AM Elena, DP Kovács, J Riebesell, ... arXiv preprint arXiv:2401.00096, 2023 | 649 | 2023 |
| Artificial intelligence applied to battery research: hype or reality? T Lombardo, M Duquesnoy, H El-Bouysidy, F Årén, A Gallo-Bueno, ... Chemical reviews 122 (12), 10899-10969, 2021 | 458 | 2021 |
| Rechargeable batteries of the future—the state of the art from a BATTERY 2030+ perspective M Fichtner, K Edström, E Ayerbe, M Berecibar, A Bhowmik, IE Castelli, ... Advanced Energy Materials 12 (17), 2102904, 2022 | 388 | 2022 |
| A roadmap for transforming research to invent the batteries of the future designed within the European large scale research initiative BATTERY 2030+ J Amici, P Asinari, E Ayerbe, P Barboux, P Bayle‐Guillemaud, RJ Behm, ... Advanced energy materials 12 (17), 2102785, 2022 | 225 | 2022 |
| Synthesis of Cu/CeO2-x Nanocrystalline Heterodimers with Interfacial Active Sites To Promote CO2 Electroreduction SB Varandili, J Huang, E Oveisi, GL De Gregorio, M Mensi, M Strach, ... ACS Catalysis 9 (6), 5035-5046, 2019 | 190 | 2019 |
| Temperature Dependent Reversible p–n–p Type Conduction Switching with Colossal Change in Thermopower of Semiconducting AgCuS SN Guin, J Pan, A Bhowmik, D Sanyal, UV Waghmare, K Biswas Journal of the American Chemical Society 136 (36), 12712-12720, 2014 | 144 | 2014 |
| Transition1x-a dataset for building generalizable reactive machine learning potentials M Schreiner, A Bhowmik, T Vegge, J Busk, O Winther Scientific Data 9 (1), 779, 2022 | 139 | 2022 |
| A perspective on inverse design of battery interphases using multi-scale modelling, experiments and generative deep learning A Bhowmik, IE Castelli, JM Garcia-Lastra, PB Jørgensen, O Winther, ... Energy Storage Materials 21, 446-456, 2019 | 129 | 2019 |
| Quantization of Hall Resistance at the Metallic Interface between an Oxide Insulator and SrTiO F Trier, GEDK Prawiroatmodjo, Z Zhong, M von Soosten, DV Christensen, ... arXiv preprint arXiv:1603.02850, 2016 | 128 | 2016 |
| Electropulse-induced cementite nanoparticle formation in deformed pearlitic steels RS Qin, EI Samuel, A Bhowmik Journal of materials science 46 (9), 2838-2842, 2011 | 118 | 2011 |
| Surface Pyroelectricity in Cubic SrTiO3 E Meirzadeh, DV Christensen, E Makagon, H Cohen, ... Advanced Materials 31 (44), 1904733, 2019 | 92 | 2019 |
| Modeling the solid electrolyte interphase: Machine learning as a game changer? D Diddens, WA Appiah, Y Mabrouk, A Heuer, T Vegge, A Bhowmik Advanced Materials Interfaces 9 (8), 2101734, 2022 | 82 | 2022 |
| Computational thermodynamics in electric current metallurgy RS Qin, A Bhowmik Materials Science and Technology 31 (13), 1560-1563, 2015 | 81 | 2015 |
| A foundation model for atomistic materials chemistry, arXiv, 2024 I Batatia, P Benner, Y Chiang, AM Elena, DP Kovács, J Riebesell, ... arXiv preprint arXiv:2401.00096 10, 2024 | 67 | 2024 |
| Calibrated uncertainty for molecular property prediction using ensembles of message passing neural networks J Busk, PB Jørgensen, A Bhowmik, MN Schmidt, O Winther, T Vegge Machine Learning: Science and Technology 3 (1), 015012, 2021 | 65 | 2021 |
| Accelerated spheroidization induced by high intensity electric pulse in a severely deformed eutectoid steel EI Samuel, A Bhowmik, R Qin Journal of Materials Research 25 (6), 1020-1024, 2010 | 64 | 2010 |
| Implications of the BATTERY 2030+ AI‐assisted toolkit on future low‐TRL battery discoveries and chemistries A Bhowmik, M Berecibar, M Casas‐Cabanas, G Csanyi, R Dominko, ... Advanced Energy Materials 12 (17), 2102698, 2022 | 61 | 2022 |
| Neural network ansatz for periodic wave functions and the homogeneous electron gas M Wilson, S Moroni, M Holzmann, N Gao, F Wudarski, T Vegge, ... Physical Review B 107 (23), 235139, 2023 | 56 | 2023 |
| NeuralNEB—neural networks can find reaction paths fast M Schreiner, A Bhowmik, T Vegge, PB Jørgensen, O Winther Machine Learning: Science and Technology 3 (4), 045022, 2022 | 56 | 2022 |
| Alteration of Electronic Band Structure via a Metal–Semiconductor Interfacial Effect Enables High Faradaic Efficiency for Electrochemical Nitrogen Fixation A Biswas, S Nandi, N Kamboj, J Pan, A Bhowmik, RS Dey ACS nano 15 (12), 20364-20376, 2021 | 56 | 2021 |
