Postdoctoral Research Associate
Bio
Vijay, born and brought up in India, completed his Bachelors and Masters degree in Chemistry from Madurai Kamaraj University. He was awarded CSIR-JRF fellowship after successfully passed in National level CSIR-UGC exam with distinction. He started his research at CSIR-CLRI, India in 2010 under the guidance of Prof. Venkatesan Subramanian in the field of computational catalysis. His Ph.D research focussed on elucidating complex reaction mechanisms of novel reactions catalyzed by 2D materials using computational tools. Further, he carried out his postdoctoral research in Prof. Rajakumar‘s lab at IIT Madras, India from 2017-2020. His research at IIT Madras includes the exploration of excited state degradation mechanism of OLED materials. Further, he joined University of Illinois Urbana-Champaign in 2021 as Postdoctoral Research Associate at Alexander V. Mironenko lab and worked on developing methods to calculate thermodynamic properties of adsorption in porous materials. Currently, he is working as Postdoctoral Research Associate in Daniel Tabor’s group in exploring conformationally robust redox active molecules for their applications in organic redox batteries.
Contact Email: vijay_jeyaraj@tamu.edu
LinkedIn: www.linkedin.com/in/
Google Scholar: https://scholar.google.com/citations?hl=en&user=-UeH3AIAAAAJ
Previous Professional Appointments
2017-2020 Institute Postdoctoral Fellow, IIT Madras, India
2021-2023 Postdoctoral Research Associate, UIUC, Illinois, USA
Education:
2005-2008 B.Sc Chemistry, Madurai Kamaraj University, India
2008-2010 M.Sc Chemistry, Madurai Kamaraj University, India
2010-2016 Ph.D in Computational Chemistry, University of Madras, India
Research Interests:
My current research focuses on developing novel organic redox groups for their application in polymer-based batteries. We are addressing the conformational dependency of electron transfer in redox groups and ways to improve electron transfer. My research interest also extends on developing machine-learning models for predicting 2D-IR spectroscopy.