3 papers
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…
physics.app-ph2025
Signatures of valley drift in the diversified band dispersions of bright, gray, and dark excitons in MoS2 monolayers under uni-axial strains
Ching-Hung Shih, Guan-Hao Peng, Ping-Yuan Lo +4
We present a comprehensive theoretical investigation of the strain-modulated excitonic properties of uni-axially strained transition-metal dichalcogenide monolayers (TMD-MLs) by so…
cond-mat.mtrl-sci2025
Efficient light upconversion via resonant exciton-exciton annihilation of dark excitons in few-layer transition metal dichalcogenides
Yi-Hsun Chen, Ping-Yuan Lo, Kyle W. Boschen +15
In this work, we report a pronounced light upconversion in few-layer transition metal dichalcogenides. Our joint theory-experiment study attributes the upconversion photoluminescen…