2021
DOI: 10.48550/arxiv.2112.12997
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Nonlinear Topological Edge States: from Dynamic Delocalization to Thermalization

Bertin Many Manda,
Rajesh Chaunsali,
Georgios Theocharis
et al.

Abstract: We consider a mechanical lattice inspired by the Su-Schrieffer-Heeger model along with cubic Klein-Gordon type nonlinearity. We investigate the long-time dynamics of the nonlinear edge states, which are obtained by nonlinear continuation of topological edge states of the linearized model. Linearly unstable edge states delocalize and lead to chaos and thermalization of the lattice. Linearly stable edge states also reach the same fate, but after a critical strength of perturbation is added to the initial edge st… Show more

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“…dimensional (2D) topological Maxwell lattices, the study of nonlinear effects have been so far limited to perturbation theories (23). This is an important gap, as nonlinear systems do not obey superposition and, as such, support an ability to control the spatiotemporal allocation of energy in materials that vastly exceeds their linear counterparts (32)(33)(34) through phenomena such as self-localization (35,36), frequency conversion and dynamic tunability (37,38), and chaos (39), as well as rich interplay with finite-frequency topological states (2,23,(40)(41)(42)(43)(44)(45). As already suggested for Maxwell lattices in the linear regime, we envision that combining nonlinear responses with the strong localization, non-reciprocity, and the robust nature of topological protection will lead to an important expansion of the ability to tailor spatiotemporal stress, deformation, and energy fields, with application areas demonstrated for nonlinear dynamical systems ranging from impact mitigation (46) to neuromorphic (47) and ultrafast mechanoacoustic computation (48,49).…”
Section: Introductionmentioning
confidence: 99%
“…dimensional (2D) topological Maxwell lattices, the study of nonlinear effects have been so far limited to perturbation theories (23). This is an important gap, as nonlinear systems do not obey superposition and, as such, support an ability to control the spatiotemporal allocation of energy in materials that vastly exceeds their linear counterparts (32)(33)(34) through phenomena such as self-localization (35,36), frequency conversion and dynamic tunability (37,38), and chaos (39), as well as rich interplay with finite-frequency topological states (2,23,(40)(41)(42)(43)(44)(45). As already suggested for Maxwell lattices in the linear regime, we envision that combining nonlinear responses with the strong localization, non-reciprocity, and the robust nature of topological protection will lead to an important expansion of the ability to tailor spatiotemporal stress, deformation, and energy fields, with application areas demonstrated for nonlinear dynamical systems ranging from impact mitigation (46) to neuromorphic (47) and ultrafast mechanoacoustic computation (48,49).…”
Section: Introductionmentioning
confidence: 99%