Future Low-Energy Quantum Optoelectronics from Two-Dimensional Materials

Quantum Electronics from 2D layered Materials

Objective

• The main objective of the proposal is to carry out research on atomically thin layered quantum materials with an objective to investigate electronic/optoelectronic transport in these materials. For high performance electronics, one of the key prerequisites is the availability of high-quality materials. Therefore, the project aims to mainly work on 2D materials from growth to high quality optoelectronic devices. Key aspects of the proposed theme are: (1) Growth of high quality 2D materials/heterostructures. (2) Development of low power electronic and optoelectronic devices from these materials. In particular, the project aims to focus on to the develop quantum light emitting devices based on 2D materials.

Description

• This project aims to develop future atomically thin flexible quantum light emitting devices (QLEDs) using indigenously grown van der Waals 2D layered materials. The key objectives of this project are given below: Deliverable 1 (D1): To grow 2D layered materials using thermal chemical vapour deposition (CVD) process. First the growth procedure for hexagonal boron nitride (h-BN) and transition metal dichalcogenides (Such as MoS2, WSe2 etc.) will be established which thereafter will be extend to other important Transition Metal Dichalcogenides., Deliverable 2 (D2): Integration of indigenously grown atomic layers (from D1) into vertical heterostructures to function as QLEDs of different colour and chirality., Deliverable 3 (D3): Transferring the QLED integration methodology developed in D2 to flexible substrates to have QLEDs.

Impact

• Successful accomplishment of this project will lead to the development of atomically engineered designer materials and their devices. Owing to atomically thin nature and their marvelous electrical properties of 2D layers, QLEDs and other devices developed with these materials are supposed to operate at ultrahigh clock speed with lower energy consumption. The methodology developed could play a significant role for implementing the quantum computation and will pave the way for AI and IoT based technologies.