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20052025
most citedQuasiparticle band structures and optical properties of strained monolayer MoS2 and WS2

907 citations

Showing 2020Show all

13 papers · 1 filter

physics.flu-dyn20206 cited

Analytical solution for an acoustic boundary layer around an oscillating rigid sphere

Evert Klaseboer, Qiang Sun, Derek Y. C. Chan

Analytical solutions in fluid dynamics can be used to elucidate the physics of complex flows and to serve as test cases for numerical models. In this work, we present the analytica…

cond-mat.mes-hall202010 cited

Negative Thermal Hall Conductance in Two-Dimer Shastry-Sutherland Model with π-flux Dirac Triplon

Hao Sun, Pinaki Sengupta, Donguk Nam +1

We introduce an effective 2-dimer tight-binding model for the family of Shastry-Sutherland models with geometrically tunable triplon excitations. The Rashba pseudospin-orbit coupli…

cond-mat.mes-hall20207 cited

Gate-tunable cross-plane heat dissipation in single-layer transition metal dichalcogenides

Zhun-Yong Ong, Gang Zhang, Linyou Cao +1

Efficient heat dissipation to the substrate is crucial for optimal device performance in nanoelectronics. We develop a theory of electronic thermal boundary conductance (TBC) media…

cond-mat.mtrl-sci20203 cited

Material Platforms for Defect Qubits and Single Photon Emitters

Gang Zhang, Yuan Cheng, Jyh-Pin Chou +1

Quantum technology has grown out of quantum information theory and now provides a valuable tool that researchers from numerous fields can add to their toolbox of research methods.…

physics.flu-dyn202022 cited

Span effect on the turbulence nature of flow past a circular cylinder

Bernat Font, Gabriel D. Weymouth, Vinh-Tan Nguyen +1

Turbulent flow evolution and energy cascades are significantly different in two-dimensional (2D) and three-dimensional (3D) flows. Studies have investigated these differences in ob…

cs.CV202014 cited

You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network

Boyun Li, Yuanbiao Gou, Shuhang Gu +3

In this paper, we study two challenging and less-touched problems in single image dehazing, namely, how to make deep learning achieve image dehazing without training on the ground-…