| Sparse machine learning assisted deep computational insights on the mechanical properties of graphene with intrinsic defects and doping Kritesh Kumar Gupta, Tanmoy Mukhopadhyay, Aditya Roy, Lintu Roy, Sudip Dey Journal of Physics and Chemistry of Solids 110111, 2021 | 38 | 2021 |
| Probing the compound effect of spatially varying intrinsic defects and doping on mechanical properties of hybrid graphene monolayers KK Gupta, T Mukhopadhyay, A Roy, S Dey Journal of Materials Science & Technology 50, 44-58, 2020 | 32 | 2020 |
| Compound influence of topological defects and heteroatomic inclusions on the mechanical properties of SWCNTs A Roy, KK Gupta, S Naskar, T Mukhopadhyay, S Dey Materials Today Communications 26 (102021), 2021 | 25 | 2021 |
| High-velocity ballistics of twisted bilayer graphene under stochastic disorder KK Gupta, T Mukhopadhyay, L Roy, S Dey Adv Nano Res 12 (5), 529-547, 2022 | 18 | 2022 |
| Hybrid machine-learning-assisted stochastic nano-indentation behaviour of twisted bilayer graphene KK Gupta, L Roy, S Dey Journal of Physics and Chemistry of Solids 167, 110711, 2022 | 16 | 2022 |
| Data-driven probabilistic performance of Wire EDM: A machine learning based approach S Saha, KK Gupta, SR Maity, S Dey Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2022 | 16 | 2022 |
| Hybrid machine-learning-assisted quantification of the compound internal and external uncertainties of graphene: towards inclusive analysis and design KK Gupta, T Mukhopadhyay, L Roy, S Dey Materials Advances 3 (2), 1160-1181, 2022 | 15 | 2022 |
| Probing the stochastic fracture behavior of twisted bilayer graphene: Efficient ANN based molecular dynamics simulations for complete probabilistic characterization KK Gupta, A Roy, T Mukhopadhyay, L Roy, S Dey Materials Today Communications 32, 103932, 2022 | 14 | 2022 |
| Effect of Temperature on the Fracture Strength of Perfect and Defective MonoLayered Graphene KK Gupta, S Dey Advances in Computational Methods in Manufacturing: Select Papers from ICCMM …, 2019 | 11 | 2019 |
| Probing the molecular-level energy absorption mechanism and strategic sequencing of graphene/Al composite laminates under high-velocity ballistic impact of nano-projectiles KK Gupta, T Mukhopadhyay, S Dey Applied Surface Science 629, 156502, 2023 | 9 | 2023 |
| Probabilistic investigation of temperature-dependent vibrational behavior of hetero-nanotubes A Roy, KK Gupta, S Dey Applied Nanoscience 12 (7), 2077-2089, 2022 | 9 | 2022 |
| Probing the stochastic dynamics of coronaviruses: Machine learning assisted deep computational insights with exploitable dimensions T Mukhopadhyay, S Naskar, KK Gupta, R Kumar, S Dey, S Adhikari Advanced Theory and Simulations 4 (7), 2000291, 2021 | 9 | 2021 |
| Comparative study of various defects in monolayer graphene using molecular dynamics simulation KK Gupta, A Roy, S Dey Advances in Applied Mechanical Engineering: Select Proceedings of ICAMER …, 2020 | 8 | 2020 |
| Machine learning-based molecular dynamics simulations of monolayered graphene KK Gupta, L Roy, S Dey Recent Advances in Computational and Experimental Mechanics, Vol II: Select …, 2022 | 5 | 2022 |
| Probing the stochastic unconfined compressive strength of lime–RHA mix treated clayey soil Gautam, KK Gupta, D Bhowmik, S Dey Journal of Materials in Civil Engineering 35 (3), 04022469, 2023 | 4 | 2023 |
| Effect of spatial distribution of nanopores on mechanical properties of mono layer graphene K Saumya, KK Gupta, A Roy, S Dey IOP Conference Series: Materials Science and Engineering 872 (1), 012187, 2020 | 4 | 2020 |
| Effect of silicon dopant on mechanical properties of monolayer graphene VK Majeti, A Roy, KK Gupta, S Dey IOP Conference Series: Materials Science and Engineering 872 (1), 012188, 2020 | 4 | 2020 |
| Uncertainty Quantification—An Eternal Future of Engineering and Technology S Dey, KK Gupta Engineering Pedagogy: A Collection of Articles in Honor of Prof. Amitabha …, 2023 | 2 | 2023 |
| Ballistic performance of Bi-layer graphene: artificial neural network based molecular dynamics simulations KK Gupta, L Roy, S Dey Machine Learning Applied to Composite Materials, 135-148, 2022 | 2 | 2022 |
| Metamodeling-assisted probabilistic first ply failure analysis of laminated composite plates—RS-HDMR-and GPR-based approach S Kushari, KK Gupta, Vaishali, S Dey Journal of the Brazilian Society of Mechanical Sciences and Engineering 44 …, 2022 | 2 | 2022 |
Sudip DeyNIT Silchar (India), Swansea University (UK), IPF (Germany)Verified email at mech.nits.ac.in
