6 papers
TACoS: Weakly Supervised Learning of Two-Dimensional Materials from Scribble Annotations to Precise Segmentation
Jiabei Chen, Liping Zhang, Jiang-Bin Wu +6
The precise pixel-level localization of 2D material flakes is crucial for high-throughput screening. However, traditional fully supervised methods rely on dense annotations, which…
Plasmonic nanocavity-enabled universal detection of layer-breathing vibrations in two-dimensional materials
Wu Heng, Lin Miao-Ling, Yan Sen +12
Conventional Raman spectroscopy faces inherent limitations in detecting interlayer layer breathing (LB) vibrations with inherently weak electron-phonon coupling or Raman inactivity…
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…
Radio-Frequency Quantum Rectification in Kagome Superconductor CsV3Sb5
Han-Xin Lou, Jing-Jing Chen, Xing-Guo Ye +13
Rectification of electromagnetic fields into direct current (DC) is pivotal for energy harvesting, wireless charging, and next-generation communication technologies. The supercondu…
Anomalous Gate-tunable Capacitance in Van der Waals Heterostructures
Linshang Chen, Haoran Long, Heng Wu +10
The ferroelectricity emerging in non-polar graphene/hexagonal boron nitride (hBN) heterostructures has drawn considerable attention because of its fascinating properties and promis…
Ultrafast dynamics of atomic correlated disordering in photoinduced VO
Wen-Hao Liu, Feng-Wu Guo, Lin-Wang Wang +1
Recent experiments suggest that atomic disordering dynamics are more universal than conventional coherent processes in photoinduced phase transitions (PIPTs), yet its mechanism rem…