Dr. Abhijith A is a dedicated researcher with a Ph.D. in Computational Chemistry from the Indian Institute of Technology Madras. His research focuses on the intersection of computational chemistry, molecular modeling, and machine learning, with applications in material discovery and modeling and characterisation.
With a robust academic foundation, including a Master’s degree in Thermal Power Engineering from Mahatma Gandhi University and a Post Graduate Program in Artificial Intelligence and Machine Learning from Texas University, he combines expertise in data-driven methods with domain knowledge. Dr. Abhijith has authored several impactful publications in high-impact journals like The Journal of Chemical Physics and Physical Chemistry Chemical Physics.
An accomplished educator, he has served as a teaching assistant for high-performance computing courses at IIT Madras and has delivered invited talks at international conferences, including the XXIX International Materials Research Congress. His technical proficiencies span Python, C++, LAMMPS, TensorFlow, PyTorch, SciML, PINNs and quantum simulation tools like Quantum Espresso and Gaussian.
Dr. Abhijith’s commitment to collaborative research and his drive to address global challenges make him a valuable contributor to academia and industry alike. He aspires to leverage cutting-edge computational tools to pioneer solutions that promote sustainability and technological advancement.
Positions
Year : 2023
Cite this Research Publication : Panneerselvam, Vivekkumar, Abhijith Anandakrishnan, and Sarith P. Sathian. "Modeling the effect of chirality on thermal transport in a pillared-graphene structure." Physical Chemistry Chemical Physics 25.8 (2023): 6184-6193.
