Scalable and programmable topological transitions in plasmonic Moiré superlattices

B Bo Tian (Hubei Provincial Clinical Research Center for Alzheimer’s Disease, Brain Science and Advanced Technology Institute, Tianyou Hospital, School of Medicine, Wuhan University of Science and Technology) X Xi Zhang R Ruitao Wu (State Key Laboratory of Porous Materials for Separation and Conversion, Collaborative Innovation Center of Chemistry for Energy Material, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Key Laboratory of Computational Physical Science, Department of Chemistry) Y Yuquan Zhang L Luping Du X Xiaocong Yuan

Abstract

Abstract Topological transitions are fundamental phenomena in electronics, photonics, and quantum technologies. However, their scalability and tunability are constrained by material properties or structural rigidities. Here, we demonstrate that plasmonic Moiré superlattices offer a platform for programmable, large-range topological transitions via wavefront engineering. By tailoring the phases of elementary evanescent waves in hexagonal systems, we create Moiré lattices of optical skyrmions, whose topological invariants evolution is programmable and scalable. Theoretical calculations indicate that the topological invariants span a range of values going from −58 to +58, extendable by tuning the Moiré angle. Remarkably, these values are constrained by symmetry to exclude integer multiples of 3/2, revealing an intrinsic link between symmetry and topological quantization. Our work establishes a versatile control platform of real-space topology for exploring topological transitions mechanisms and studying critical topological phenomena, further promoting breakthroughs in structured light, photonic computing, and condensed matter physics.

Article Details

Volume / Issue Vol. 17, Issue 1
Published January 22, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (6)

B

Bo Tian

Hubei Provincial Clinical Research Center for Alzheimer’s Disease, Brain Science and Advanced Technology Institute, Tianyou Hospital, School of Medicine, Wuhan University of Science and Technology

X

Xi Zhang

R

Ruitao Wu

State Key Laboratory of Porous Materials for Separation and Conversion, Collaborative Innovation Center of Chemistry for Energy Material, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Key Laboratory of Computational Physical Science, Department of Chemistry

Y

Yuquan Zhang

L

Luping Du

X

Xiaocong Yuan