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.
​
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
Accelerated 2D spintronic material discovery using ML
Arun
Postdoc
Design of high temperature and low hysteresis shape 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
Sanjeev Navaratna
MS candidate
Semi Automated Image processing of Materials Microstructure using Deep Learning
Sivanezhil Kuricil V
MS candidate
AI- driven materials laboratory for thin flims process optimization and discovery
Pranav
M.Tech candidate
Deep learning for efficient modeling of deep drawing process in collaboration with TATA Steel
Sai Mani Kumar
MTech (WSAI)
Leveraging Large Language Models to Extract Materials data from Scientific Literature
Gunashekhar Mari
Dual Degree candidate
Semi Automated Material Defect detection
Soumya Behera
Dual Degree candidate
Polymer property prediction using GNN and Transformers
Aravindan
Dual Degree candidate
Discovery of high temperature Shape Memory Alloys(SMAs) using machine learning and Large Language Models(LLMs)
Amritha V P
Dual Degree Candidate
Discovery of High Temperature Shape Memory Alloys using Machine Learning
Steve Richards
Project Staff
Discovery of Porous Polymers networks sorbents for COâ‚‚ Capture Using Machine Learning-Driven Experiments
Shreya
Intern
Discovery of Efficient and Stable Ionic Liquids for COâ‚‚ Capture Using Machine Learning-Driven Experiments
Previous Members
-
Ujjwal Tripathi (M.Tech; TATA steel)
-
Devashish Kaushik (M.Tech)
-
Pragalbh Vasishta (Dual Degree; UC Berkeley)
-
Yahwah Nissi Talluri (M.S; Applied Materials)
-
Shreya Bairi (M.Tech; KLA)
-
Antov Selwinston (M.Tech)
-
Arjit Tripathi (Dual Degree; Airborne Capital)
-
Shubhadeep Banarjee (PostDoc)
-
Yuvanandhan T (B.Tech)
-
Sabesh (B.Tech; Quantiphi)
-
Harishankar K (B.Tech; ICICI Lombard)
-
Jeshlin (B.Tech; Linkedin)
-
Hrithik (Intern)
-
Nitish (Intern)
-
Mohit (Intern)