Deriving the absorption coefficients of lattice mismatched InGaAs using genetic algorithm

• Main Authors: Lee, Hui Jing, Gamel, Mansur Mohammed Ali, Ker, Pin Jern, Jamaludin, Md Zaini, Wong, Yew Hoong, Yap, Keem Siah, Willmott, Jon R., Hobbs, Matthew J., David, John. P. R., Tan, Chee Hing
• Format: Article
• Published: Elsevier 2023
• Subjects: QC Physics; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/39420/

Lattice-mismatched InGaAs has appeared to be emerging semiconductor materials for sensors and photovoltaic applications. The absorption coefficients of the materials are crucial in designing high-performance semi-conductor devices. Nevertheless, the absorption coefficient of lattice-mismatched InGaA...