Dr. Muralidharan's research is geared towards creating novel paradigms for optimizing energy utilization via the development of high-efficiency, enviromentally-benign, energy storage and evergy conversion systems. His specific focus is on developing advanced thermal management systems for applications in compressed air energy storage units, thermoelectrics and thermal interface devices.
An equally important focus of his research is the development of computational methodologies capable of modeling, predicting and futhering the fundamental understanding of structure-property relations of materials. He has been instrumental in developing the Enviromental Dependent Dynamic Charge (EDDQ) suite of interatomic potentials, the dynamic Compound Wavelent Matrix (dCWM) method for multiscale simulations as well as contributing his expertise to the PUPIL computational framework.