Finished Project
Magnetism
Monte Carlo simulation
Machine Learning
Molecular Dynamics
Study the properties for industrial applications
(a) Binding energy
(b) Elastic constant and elasticity
(c) Corrosion
(d) Quantum capacitance
Future Project
Magneto resistance
Piezoelectric effect
Solar cell
Battery
Referee
Prof. SUBHRADIP GHOSH
Professor
ROOM NO. 306, DEPARTMENT OF PHYSICS, IIT GUWAHATI, Guwahati - 781039
email : subhra@iitg.ernet.in
phone: +91-013612 58271
Prof. Aftab Alam
Professor
ROOM-304D, DEPARTMENT OF PHYSICS, IIT BOMBAY, PAWA Mumbai - 400076
email: aftab@phy.iitb.ac.in
phone: +91-222576 5564
Prof. Saroj Kumar Nayak
Room-214,School of Basic Science, IIT Bhubaneswar, 752050
Phone: +91-674-713-5140
email: nayaks@iitbbs.ac.in
Vison:
Short term
(b) Teaching: I want to teach the basic course to strengthen my knowledge like Quantum mechanics, classical mechanics, statistical mechanics, electrodynamics, numerical method.
(b) Research: Now I am working on Machine Learning. I want to mater on it.
Also I want to extend my research on battery and solar cell. Because India is growing industry in these area.
Long term
(a) Teaching: I will include few technical course like density functional theory, Montecarlo simulation, Group theory.
(b) Research: Try to create collaboration with industry for my research.
I have good knowledge in first-principle-based "Density functional theory". Also, I have experience in Monte Carlo and Molecular dynamics. Currently, I am working in machine learning. I want to do research on not only on academic problems but also in industrial problems. As Govt of India launches a Manthan portal to collaborate with industrial problems. I would like to work if I find some problem of my interest.
During my PhD, I investigated the multiferroic spinel chromite CoCr2O4 and its Mn- and Fe-substituted derivatives using Hubbard-corrected Density Functional Theory (DFT+U). My research focused on the structural, magnetic, electronic, and vibrational properties of these systems to provide a fundamental understanding of recent experimental observations.
Key Contributions:
Thermodynamic Modeling: Developed a generalized model to determine the "degree of cation inversion" (disorder) in complex spinels.
Spin-Lattice Coupling: Established a generalized method to quantify the coupling between magnetic and lattice degrees of freedom in oxides containing multiple magnetic cations.