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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…
cond-mat.mes-hall2025
Highly reliable, ultra-wideband, isolator-free quantum-dot mode-locked frequency combs for optical interconnects beyond 3.2Tb/s
Shujie Pan, Victoria Cao, Yiheng Feng +6
Quantum dot mode-locked laser-based optical frequency combs are emerging as a critical solution for achieving low-cost, high-efficiency, and large-capacity optical interconnects. T…