Publications

Journal Publications

2024 (Post Ph.D.)

1. Gupta, K.K., Barman, S., Naskar, S. Mukhopadhyay, T., and Dey, S., 2024. On exploiting nonparametric kernel-based probabilistic machine learning over the large compositional space of high entropy alloys for optimal nanoscale ballistics. Scientific Reports, Nature. (Accepted) 

2. Gupta, K.K., Barman, S., Mukhopadhyay, T., and Dey, S., 2024. Explainable machine learning assisted molecular-level insights for enhanced specific stiffness exploiting the large compositional space of AlCoCrFeNi high entropy alloys. Machine Learning: Science and Technology, IOPScience. (Accepted) 

3. Barman, S., Gupta, K.K. and Dey, S., 2024. Probing atomistic deformation behavior of graphene-coated Al0. 3CoCrFeNi high-entropy alloy under nanoindentation. Journal of Micromechanics and Molecular Physics, pp.1-14. 

4. Barman, S., Gupta, K.K. and Dey, S., 2024. Enhancing Mechanical Performance of Al0. 3CoCrFeNi HEA Films Through Graphene Coating: Insights from Nanoindentation and Dislocation Mechanism Analysis. Modelling and Simulation in Materials Science and Engineering. IOPScience. 

5. Roy, A., Gupta, K.K., Mukhopadhyay, T. and Dey, S., 2024. Random Topological defects in Double-walled carbon nanotubes: On characterization and artificial engineering for modulation of spatio-mechanical properties. Advances in Nano Research, Techno-Press

6. Gautam, Gupta, K.K., Bhowmik, D. and Dey, S., 2024. Closure to “Probing the Stochastic Unconfined Compressive Strength of Lime–RHA Mix Treated Clayey Soil”. Journal of Materials in Civil Engineering, ASCE, 36(4), p.07024002. 

7. Barman, S., Gupta, K.K., Kushari, S. and Dey, S., 2024. Stochastic performance of journal bearing with two-layered porous bush- A machine learning approach. Journal of Tribology, ASME.

2023

8. Gupta, K.K., Mukhopadhyay, T., and Dey, S., 2023. Probing the molecular-level energy absorption mechanism and strategic sequencing of graphene/Al composite laminates under high-velocity ballistic impact of  nano-projectiles, Applied Surface Science, Elsevier.

9. Saha, S., Kumar Gupta, K., Ranjan Maity, S. and Dey, S., 2023. Probabilistic investigation of geometric responses in Wire EDM machined complex-shaped profile: A machine learning based approach. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 237(12), pp.1798-1809. 

10. Gautam, Gupta, K.K., Bhowmik, D. and Dey, S., 2023. Probing the Stochastic Unconfined Compressive Strength of Lime–RHA Mix Treated Clayey Soil. Journal of Materials in Civil Engineering, ASCE.

2022

11. Kushari, S., Gupta, K.K. and Dey, S., 2022. Metamodeling-assisted probabilistic first ply failure analysis of laminated composite plates—RS-HDMR-and GPR-based approach. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 44(8), pp.1-21. 

12. Gupta, K.K., Roy, A., Mukhopadhyay, T., Roy, L. and Dey, S., 2022. Probing the stochastic fracture behavior of twisted bilayer graphene: Efficient ANN based molecular dynamics simulations for complete probabilistic characterization. Materials Today Communications, 32, p.103932.

13. Gupta, K.K., Roy, L. and Dey, S., 2022. Hybrid machine-learning-assisted stochastic nano-indentation behaviour of twisted bilayer graphene. Journal of Physics and Chemistry of Solids, 167, p.110711. 

14. Roy, A., Gupta, K.K. and Dey, S., 2022. Probabilistic investigation of temperature-dependent vibrational behavior of hetero-nanotubes. Applied Nanoscience, 12(7), pp.2077-2089.

15. Saha, S., Gupta, K.K., Maity, S.R. and Dey, S., 2022. Data-driven probabilistic performance of Wire EDM: A machine learning based approach. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 236(6-7), pp.908-919. 

16. Gupta, K.K., Mukhopadhyay, T., Roy, L. and Dey, S., 2022. Hybrid machine-learning-assisted quantification of the compound internal and external uncertainties of graphene: towards inclusive analysis and design. Materials Advances, 3(2), pp.1160-1181. 

17. Gupta, K.K., Mukhopadhyay, T., Roy, L. and Dey, S., 2022. High-velocity ballistics of twisted bilayer graphene under stochastic disorder. Advances in nano research, Techno-Press.

2021

18. Roy, A., Gupta, K.K., Naskar, S., Mukhopadhyay, T. and Dey, S., 2021. Compound influence of topological defects and heteroatomic inclusions on the mechanical properties of SWCNTs. Materials Today Communications, 26, p.102021. 

19. Gupta, K.K., Mukhopadhyay, T., Roy, A., Roy, L. and Dey, S., 2021. Sparse machine learning assisted deep computational insights on the mechanical properties of graphene with intrinsic defects and doping. Journal of Physics and Chemistry of Solids, 155, p.110111. 

20. Mukhopadhyay, T., Naskar, S., Gupta, K.K., Kumar, R., Dey, S. and Adhikari, S., 2021. Probing the stochastic dynamics of coronaviruses: Machine learning assisted deep computational insights with exploitable dimensions. Advanced Theory and Simulations, 4(7), p.2000291. 

2020

21. Gupta, K.K., Mukhopadhyay, T., Roy, A. and Dey, S., 2020. Probing the compound effect of spatially varying intrinsic defects and doping on mechanical properties of hybrid graphene monolayers. Journal of Materials Science & Technology, 50, pp.44-58. 

International Conferences

1. Gupta, K.K. and Dey, S., 2019. Effect of Temperature on the Fracture Strength of Perfect and Defective MonoLayered Graphene. In Advances in Computational Methods in Manufacturing (pp. 793-804). Springer, Singapore. (ICCMM-2019, IIT Guwahati)

2. Gupta, K.K., Roy, A. and Dey, S., 2020. Comparative study of various defects in monolayer graphene using molecular dynamics simulation. In Advances in Applied Mechanical Engineering (pp. 539-546). Springer, Singapore. (ICAMER-2020, NIT Warangal)

3. Majeti, V.K., Roy, A., Gupta, K.K. and Dey, S., 2020, June. Effect of silicon dopant on mechanical properties of monolayer graphene. In IOP Conference Series: Materials Science and Engineering (Vol. 872, No. 1, p. 012188). IOP Publishing. 

4. Saumya, K., Gupta, K.K., Roy, A. and Dey, S., 2020, June. Effect of spatial distribution of nanopores on mechanical properties of monolayer graphene. In IOP Conference Series: Materials Science and Engineering (Vol. 872, No. 1, p. 012187). IOP Publishing. 

5. Gupta, K.K., Roy, L. and Dey, S., 2022. Machine Learning-Based Molecular Dynamics Simulations of Monolayered Graphene. In Recent Advances in Computational and Experimental Mechanics, Vol II (pp. 251-263). Springer, Singapore. (ICRACEM-2020, IIT Kharagpur)

6. Barman, S., Gupta, K.K., Dey, S., 2022. Influence of alloying elements on mechanical deformation of AlCoCrFeNi High-Entropy Alloy. 67th Congress of the Indian Society of Theoretical and Applied Mechanics (ISTAM-2022) -An International Conference at IIT Mandi, 14th 16th December.

7. Harshvardhan V., Gupta, K.K., Soman, K.P., 2024. Probing the Genetic Algorithm assisted Vigenère Cipher Cryptanalysis. International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE 2024). IEEE Conference, PES Institute of Technology and Management Shivamogga, Karnataka, India

8. Renny Harlin D., Gupta, K.K., 2024. Neural Networks Assisted Vigenère Cipher Encryption of Text. International Conference on Recent Advances in Intelligent Computational Systems (RAICS). IEEE Conference, MAR ATHANASIUS COLLEGE OF ENGINEERING KOTHAMANGALAM, KERALA, INDIA

9. Singh N., Jha, W., Gupta, P., Gupta, K.K., 2024. Artificial Intelligence driven Portfolio Management. International Conference on Recent Advances in Intelligent Computational Systems (RAICS). IEEE Conference, MAR ATHANASIUS COLLEGE OF ENGINEERING KOTHAMANGALAM, KERALA, INDIA

Book Chapters

1. Gupta KK, Roy L, Dey S. Ballistic performance of Bi-layer Graphene: Artificial Neural Network based Molecular Dynamics Simulations. Title of the book: Machine Learning applied to composites, Publisher: Springer, Nature. 

2. Dey, S. and Gupta, K.K., 2023. Uncertainty Quantification—An Eternal Future of Engineering and Technology. In Engineering Pedagogy: A Collection of Articles in Honor of Prof. Amitabha Ghosh (pp. 145-155). Singapore: Springer Nature Singapore.