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cond-mat.mtrl-sci2024
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…
cond-mat.mtrl-sci2023
Epitaxial growth of high-quality GaAs on Si(001) using ultrathin buffer layers
Kun Cheng, Tianyi Tang, Wenkang Zhan +4
The direct growth of III-V semiconductors on silicon holds tremendous potential for photonics applications. However, the inherent differences in their properties lead to defects in…