Assistant Professor, Mechanical & Electrical Engineering Department
My research in computational materials science focuses on the detailed exploration of solidification processes in metals and alloys, mechanical properties of 2D materials/van der Waals heterostructures, and the innovative application of machine learning (ML) to predict the properties of materials. A significant part of my work also explores into high-entropy alloys, employing a combination of experimental analysis and computational modeling to uncover the dynamics of microstructure and phase equilibria during solidification. A pivotal aspect of my research involves the use of error-inclusive Bayesian ML alongside molecular dynamics simulations, enhancing the precision and efficiency of probabilistic material property characterization. This multifaceted strategy not only deepens our understanding of complex material systems but also paves the way for novel approaches in material design and optimization within the realm of advanced manufacturing technologies.
Mahata, Avik, Mukhopadhayay, T, Chakraborty, S, Zaeem, Mohsen, Atomistic simulation assisted error-inclusive Bayesian machine learning for probabilistically unraveling the mechanical properties of solidified metals, NPJ Computational Materials Science, 10.1 (2024)
Michael Woodcox, Mahata, Avik, Aaron Hagerstrom, Demian Riccardi, Ravishankar Sundarraman, Chris Muzny, and Kathleen Schwarz, Simulating dielectric spectra: a demonstration of the direct electric field method and a new model for the nonlinear dielectric response, Journal of Chemical Physics, Vol. 158, Issue 12, March 2023.
Mohsen B. Kivy, Mahata, Avik., Ryan Thompson, Juan Palominos Jr., Matthew Kestenbaum, Lucy Hunter, Experimental and Computational Study of Microstructure of Al2FeCoNiCu High-Entropy Alloy, Journal of Phase Equilibria and Diffusion (2023): 1-10.
K. Sikdar, B. Roy, Mahata Avik., D. Roy, Enhanced thermal stability of nanocrystalline Cu-Al alloy by nanotwin and nanoprecipitate, Journal of Alloys and Compounds 922, 166273.
Mahata, Avik., Kivy, M.B, (2022), Computational Study of Nanoscale Mechanical Properties of 316L Austenitic Stainless Steel, Molecular Simulation, 0892-7022, 2022.
Mahata, A., Mukhopadhyay, T., & Zaeem, M. A. (2022). Modified embedded-atom method interatomic potentials for Al-Cu, Al-Fe and Al-Ni binary alloys: From room temperature to melting point. Computational Materials Science, 201, 110902.
Mahata, Avik, Tanmoy Mukhopadhyay, and Mohsen Asle Zaeem. Liquid ordering induced heterogeneities in homogeneous nucleation during solidification of pure metals. Journal of Materials Science & Technology 106 (2022): 77-89.
Dave Fielding M’25 wrote “Into the Darkness: A Journey of Love, War and Emotional Freedom” about his mental health struggles while serving in the U.S. military.
