journal article·2025-06Open access

Observation of Topological Armchair Edge States in Photonic Biphenylene Network

Qi Zhong, Yongsheng Liang, Shiqi Xia, Daohong Song, Zhigang Chen

Advanced Optical Materials· Volume 13· Issue 16

Abstract

Abstract Edge states in 2D materials are vital for advancements in spintronics, quantum computing, and logic transistors. For uniform graphene, it is well known that the zigzag edges can host edge states, but the realization of armchair edge states has been challenging without engineered strain or breaking the time‐reversal symmetry. Here, by using a photonic analog of a recently synthesized graphene‐like biphenylene network (BPN), topological in‐gap edge states are demonstrated, particularly at the armchair edges. Interestingly, several bulk states preserve the characteristics of edge states along the armchair boundaries, manifesting an unusual hybridization between the edge and bulk states. Experimentally, both zigzag and armchair edge states are observed in photonic BPN lattices written in a nonlinear crystal. Furthermore, the different features of the armchair boundary are clarified between the uniform BPN and graphene lattices. These results demonstrated here may be applicable to carbon‐based BPNs and other artificial platforms beyond photonics, holding promise for expanding the application scope of 2D materials.
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Research context

OpenAlex topics: Topological Materials and Phenomena · Photonic Crystals and Applications · Graphene research and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

The MOE Key Laboratory of Weak‐Light Nonlinear Photonics TEDA Applied Physics Institute and School of Physics Nankai University Tianjin 300457 China

Collaborative Innovation Center of Extreme Optics Shanxi University Taiyuan Shanxi 030006 China

Funding

National Basic Research Program of China · National Natural Science Foundation of China · Natural Science Foundation of Tianjin Municipality · Higher Education Discipline Innovation Project

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