48 citations · 51 across the 6 of their papers we have counts for
6 papers
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…
GeSn 320 \times 256 Focal Plane Array for Silicon-Based Short-wave Infrared Imaging
Guoyin Xu, Hui Cong, Yue Li +6
Short-wave infrared (SWIR) imaging arrays have demonstrated great potential in applications spanning from military to civilian consumer electronics. However, the current focal plan…
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…
Machine-Learning-Assisted and Real-Time-Feedback-Controlled Growth of InAs/GaAs Quantum Dots
Chao Shen, Wenkang Zhan, Kaiyao Xin +11
Self-assembled InAs/GaAs quantum dots (QDs) have properties highly valuable for developing various optoelectronic devices such as QD lasers and single photon sources. The applicati…
Consistent optical and electrical determination of carrier concentrations for the accurate modeling of the transport properties of n-type Ge
José Menéndez, Chi Xu, John Kouvetakis
A consistent methodology is presented to extract carrier concentrations in n-type Ge from measurements of the infrared dielectric function and the Hall effect. In the case of the o…
Mid-infrared (3-8 μm) alloys (0.15 < < 0.30): synthesis, structural, and optical properties
Chi Xu, Patrick M. Wallace, Dhruve A. Ringwala +4
alloys with compositions in the 0.15 < < 0.30 range have been grown directly on Si substrates using a chemical vapor deposition approach that allow…