Dr. Rohit Batra
Dr. Rohit Batra joined the Department of Metallurgical and Materials Engineering at IIT Madras as Assistant Professor in July 2022. Prior to this he had completed two Post-doctoral doctoral appointments, one at Center for Nanoscale Materials, Argonne National Lab, and the other at School of Materials Science and Engineering, Georgia Institute of Technology. He received his PhD in Materials Science and Engineering from University of Connecticut and B.Tech. in Metallurgical and Materials Engineering from IIT Roorkee. Before joining IIT Madras he also had a 4 month stint at Rivian Automotive LLC’s R&D lab for cell manufacturing and battery development.
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His research interest lies in the area of combining computational and data-driven methods to design new materials. He has expertise in first-principles electronic structure methods, molecular dynamics simulations, and many machine learning based techniques, particularly geared towards the general field of chemical and materials science.
THE TEAM
Abhijeet
Postdoc
Atomistic modelling and materials simulations using DFT and ML for Spin Hall Coupling studies on 2D materials.
Subhadeep Banerjee
Postdoc
Theoretically studying the phase transition between the martensite and austenite phases for the NiTiHf and NiTiHfCu-based shaped memory alloys.
Vijith P
PhD candidate
Study and design of depolymerizable polymers using Monte Carlo tree search and ML based property prediction methods.
B Pabitramohan Prusty
PhD candidate
Design and Discovery of High Temperature Shape Memory Alloys using Machine Learning
Anju Kumari
PhD candidate
Development of machine learning driven autonomous laboratory for discovery of efficient photovoltaic materials
Yahwah Nissi Talluri
MS candidate
Using ML methods to formulate an analytical expression for self-assembly in peptides based on direct experimental data
Sanjeev
MS candidate
Discovery of Spintronics 2D Materials Using Machine Learning
Sivanezhil Kuricil V
AI- driven materials laboratory for thin flims process optimization and discovery
MS candidate
Sai Mani Kumar
MTech (WSAI)
Leveraging Large Language Models to Extract Materials data from Scientific Literature
Shreya
M.Tech candidate
Discovery of high temperature shape memory alloys using machine learning.
Aravindan
UG candidate
Discovery of high temperature Shape Memory Alloys(SMAs) using machine learning and Large Language Models(LLMs)
Amritha V P
UG Candidate
Discovery of High Temperature Shape Memory Alloys using Machine Learning
Mohit
Intern
Using large langauge models to extract material information from scientific literature
Previous Members
Postgrads
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Ujjwal Tripathi, currently employed at TATA steel
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Devashish Kaushik
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Pragalbh Vasishta, PhD candidate at UC Berkeley
Undergrads
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Yuvanandhan T
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Sabesh, currently employed at Quantiphi , Bangalore
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Harishankar K, currently employed at ICICI Lombard,Mumbai
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Jeshlin, currently employed at Linkedin
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Hrithik, currently employed at ZS Associates