Amit holds a Bachelor of Engineering in electronics and communication from Delhi College of Engineering, a Master of Science in electrical engineering from Arizona State University, and an MBA from the University of California at Berkeley.
The future global economy is likely to consume ever more energy, while the tremendous risk of climate change associated with the use of fossil fuels makes energy supply increasingly challenging. One of the promising approaches is the recovery of waste heat with the help of thermoelectric (TE) materials. The performance of TE materials is determined by the dimensionless temperature-dependent figure of merit ZT, which is related to the Seebeck coefficient (S), electrical conductivity (σ), absolute temperature, and thermal conductivity. It is quite complex to achieve large power factor S2σ as the electronic transport properties are interrelated through carrier concentration, scattering, and bandstructure.
Then we present a first-principles framework to employ an energy-dependent scattering process treatment, to exclude the arbitrary error from RTA. Based on DFT and density-functional perturbation theory (DFPT), we compute the electronic bandstructures, phonon dispersion relations, and electron-phonon matrix elements, to extract deformation potentials. Then we use an advanced home-developed numerical simulator, which can allow for different scattering mechanisms such as electron-phonon scattering and ionized impurity scattering, to adopt the proper and full energy and momentum dependencies of electron-phonon scattering to compute the electronic transport properties. This method would be the middle ground computationally between the constant RTA and first-principles relaxation time extraction. 2b1af7f3a8