Topological edge states with BNN

This study explores the limitations of topological invariants, such as the winding number, traditional predicting topologically protected domain-wall states (TPDWSs) within one-dimensional Su-Schrieffer-Heeger (SSH) lattices that incorporate interactions beyond nearest neighbors (BNNs). Through both theoretical analysis and experimental validation using mechanical lattices, it is demonstrated that BNN interactions can lead to a higher number of TPDWSs than predicted by conventional winding number calculations. The research introduces the Berry connection as an alternative tool to accurately characterize these states, with further confirmation provided by Jackiw-Rebbi theory. These findings offer a deeper understanding of complex network dynamics and present a generalized approach for precise TPDWS prediction.

Publication Details

Journal
ScholarWorks -A service of University of Vermont Libraries (University of Vermont)
Published
2025-06-02
Primary Topic
Metal Extraction and Bioleaching
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Topological edge states with BNN

ScholarWorks -A service of University of Vermont Libraries (University of Vermont)
Metal Extraction and Bioleaching
article

Topological edge states with BNN

article en

Abstract

This study explores the limitations of topological invariants, such as the winding number, traditional predicting topologically protected domain-wall states (TPDWSs) within one-dimensional Su-Schrieffer-Heeger (SSH) lattices that incorporate interactions beyond nearest neighbors (BNNs). Through both theoretical analysis and experimental validation using mechanical lattices, it is demonstrated that BNN interactions can lead to a higher number of TPDWSs than predicted by conventional winding number calculations. The research introduces the Berry connection as an alternative tool to accurately characterize these states, with further confirmation provided by Jackiw-Rebbi theory. These findings offer a deeper understanding of complex network dynamics and present a generalized approach for precise TPDWS prediction.

ScholarWorks -A service of University of Vermont Libraries (University of Vermont)
Openalex Percentile: Top 53%
Metal Extraction and Bioleaching
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.