Difference between revisions of "Implementation of Computationally Efficient Scattering Mechanisms for Periodic Devices and 2D Materials"
m (Emborasa moved page Using piezoelectricity in monolayer 2D materials to build future nanoscale devices to Characterization techniques for silicon photonics)
m (Emborasa moved page Characterization techniques for silicon photonics to Implementation of Computationally Efficient Scattering Mechanisms for Periodic Devices and 2D Materials)
Revision as of 10:31, 23 June 2021
n this project, the goal is to build useful nanoscale devices using the intrinsic piezoelectricity of 2D materials. Starting from density-functional-theory (DFT) to calculate the elastic stiffness tensors and employing them to calculate the electric field induced strain in 2D materials. The next step would be quantify the effect of this strain on the electronic properties of 2D materials, and hence the electrostatic control and transport in 2D material transistors using the in-house quantum simulator. This should also enable you to think of other useful nanoscale devices.
The Big Picture
The piezoelectric materials, which can convert mechanical energy to electrical energy and vice-versa, have found multiple applications in sensors, actuators, and harvesting energy from the environment. The most popular material being lead zirconate titanate (PZT). Recently, monolayer two-dimensional (2D) materials have been both theoretically predicted and experimentally demonstrated to be piezoelectric unlike their bulk counterpart due to the absence of centro-symmetry1. However, the use of this piezoelectricity in building nanoscale devices is still lacking.Hence, in this project, you will have scope of proposing novel devices using the intrinsic piezoelectricity in monolayer 2D materials.
- Looking for 1 Master student
- Interested candidates please contact: Dr.Tarun Agarwal
We are seeking a candidate with a strong interest in physics of nanoscale devices and advanced models to design the novel devices.
Type of Work
- 20% Theory, 40% Simulation & 40% analysis