most citedUnambiguous identification of monolayer phosphorene by phase-shifting interferometry

10 citations · 16 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Network

Ziqing Wang, Yuetong Fang, Jiahang Cao +2

Spiking Neural Networks (SNNs) are seen as an energy-efficient alternative to traditional Artificial Neural Networks (ANNs), but the performance gap remains a challenge. While this…

cs.CV2024

Robust SG-NeRF: Robust Scene Graph Aided Neural Surface Reconstruction

Yi Gu, Dongjun Ye, Zhaorui Wang +3

Neural surface reconstruction relies heavily on accurate camera poses as input. Despite utilizing advanced pose estimators like COLMAP or ARKit, camera poses can still be noisy. Ex…

cond-mat.mtrl-sci201410 cited

Unambiguous identification of monolayer phosphorene by phase-shifting interferometry

Jiong Yang, Renjing Xu, Jiajie Pei +6

Monolayer phosphorene provides a unique two-dimensional (2D) platform to investigate the fundamental many-body interactions. However, owing to its high instability, unambiguous ide…

cond-mat.mtrl-sci20144 cited

Extraordinarily bound quasi-one-dimensional trions in two-dimensional phosphorene atomic semiconductors

Shuang Zhang, Renjing Xu, Fan Wang +9

The anisotropic nature of the new two-dimensional (2D) material phosphorene, in contrast to other 2D materials such as graphene and transition metal dichalcogenide (TMD) semiconduc…

cond-mat.mes-hall20142 cited

Extraordinary Photoluminescence and Strong Temperature/Angle-Dependent Raman Responses in Few-Layer Phosphorene

Shuang Zhang, Jiong Yang, Renjing Xu +8

Phosphorene is a new family member of two-dimensional materials. We observed strong and highly layer-dependent photoluminescence in few-layer phosphorene (2 to 5 layers). The resul…