Mechanical properties of micro-alloyed steels studied using a evolutionary deep neural network S Roy, BS Saini, D Chakrabarti, N Chakraborti Materials and Manufacturing Processes 35 (6), 611-624, 2020 | 30 | 2020 |
A novel method of determining interatomic potential for Al and Al-Li alloys and studying strength of Al-Al3Li interphase using evolutionary algorithms S Roy, A Dutta, N Chakraborti Computational Materials Science 190, 110258, 2021 | 20 | 2021 |
Exploring the transfer of plasticity across Laves phase interfaces in a dual phase magnesium alloy J Guénolé, M Zubair, S Roy, Z Xie, M Lipińska-Chwałek, ... Materials & Design, 109572, 2021 | 18 | 2021 |
Phenomenological Constitutive Modeling of High-Temperature Flow Behavior Incorporating Individual and Coupled Effects of Processing Parameters in Super-austenitic Stainless Steel S Roy, S Biswas, KA Babu, S Mandal Journal of Materials Engineering and Performance 27 (7), 3762-3772, 2018 | 9 | 2018 |
Development of an Evolutionary Deep Neural Net for Materials Research S Roy, N Chakraborti TMS 2020 149th Annual Meeting & Exhibition Supplemental Proceedings, 817-828, 2020 | 8 | 2020 |
Novel Strategies for Data-Driven Evolutionary Optimization S Roy, N Chakraborti Computational Sciences and Artificial Intelligence in Industry, 11-25, 2022 | 6 | 2022 |
Learning a reactive potential for silica-water through uncertainty attribution S Roy, JP Dürholt, TS Asche, F Zipoli, R Gómez-Bombarelli arXiv preprint arXiv:2307.01705, 2023 | 1 | 2023 |