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cond-mat.mtrl-sci2025
Machine-learning-enabled methodology for the ab-initio simulations of sub-m-wide nanoribbons
Guan-Hao Peng, Chin-Jui Huang, Wen-Teng Yang +1
Simulation of mesoscopic nanostructures is a central challenge in condensed matter physics and device applications. First-principles methods provide accurate electronic structures…
cond-mat.mtrl-sci2016★ 11 cited
Wavelength extension beyond 1.5 micrometer in symmetric InAs quantum dots on InP(111)A using droplet epitaxy
N. Ha, T. Mano, Y. -N. Wu +5
By using a C3v symmetric (111) surface as a growth substrate, we are able to achieve high structural symmetry in self-assembled quantum dots, which are suitable for use as quantum-…