3 papers
cond-mat.mtrl-sci2025
On-Demand Growth of Semiconductor Heterostructures Guided by Physics-Informed Machine Learning
Chao Shen, Yuan Li, Wenkang Zhan +15
Developing tailored semiconductor heterostructures on demand represents a critical capability for addressing the escalating performance demands in electronic and optoelectronic dev…
physics.app-ph2024
Enhanced Radiation Hardness of InAs/GaAs Quantum Dot Lasers for Space Communication
Manyang Li, Jianan Duan, Zhiyong Jin +15
Semiconductor lasers have great potential for space laser communication. However, excessive radiation in space can cause laser failure. In principle, quantum dot (QD) lasers are mo…
cond-mat.mes-hall2024
In-situ Self-optimization of Quantum Dot Emission for Lasers by Machine-Learning Assisted Epitaxy
Chao Shen, Wenkang Zhan, Shujie Pan +12
Traditional methods for optimizing light source emissions rely on a time-consuming trial-and-error approach. While in-situ optimization of light source gain media emission during g…