24th Australian Institute of Physics Congress

Nanoscale-Engineered InGaN/GaN Quantum Wells via Machine Learning Design

12 Dec 2022, 15:15

15m

Room R7 (Adelaide Convention Centre)

Talk (preferred) COMMAD: Advanced computational and machine learning methods in photonics, nanoelectronics, and devices Conference on Optoelectronic and Microelectronic Materials and Devices

Speaker

Nelson Tansu

Description

We present the machine learning design of nanoscale-engineered InGaN-based QW with ten sublayers for enhanced performance based on a heuristic algorithm. Such a design approach can achieve significant improvements in the material gain characteristics and current density of QW.

Presentation materials

Abstract_Wen_Liang_AIPC2022.docx