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20182025
most citedQuantifying chaos using Lagrangian descriptors

19 citations · 51 across the 9 of their papers we have counts for

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7 papers · 1 filter

nlin.CD2025

On the efficient numerical computation of covariant Lyapunov vectors

Jean-Jacq du Plessis, Malcolm Hillebrand, Charalampos Skokos

Covariant Lyapunov vectors (CLVs) are useful in multiple applications, but the optimal time windows needed to accurately compute these vectors are yet unclear. To remedy this, we i…

nlin.CD2024★ 3 cited

Efficient detection of chaos through the computation of the Generalized Alignment Index (GALI) by the multi-particle method

Bertin Many Manda, Malcolm Hillebrand, Charalampos Skokos

We present a method for the computation of the Generalized Alignment Index (GALI), a fast and effective chaos indicator, using a multi-particle approach that avoids variational equ…

nlin.CD2024

The evolution of the phase space structure along pitchfork and period-doubling bifurcations in a 3D galactic bar potential

Henok Tenaw Moges, Matthaios Katsanikas, Panos Patsis +2

We investigate how the phase space structure of a 3D autonomous Hamiltonian system evolves across a series of successive 2D and 3D pitchfork and period-doubling bifurcations, as th…

nlin.CD2022★ 19 cited

Quantifying chaos using Lagrangian descriptors

Malcolm Hillebrand, Sebastian Zimper, Arnold Ngapasare +3

We present and validate simple and efficient methods to estimate the chaoticity of orbits in low dimensional dynamical systems from computations of Lagrangian descriptors (LDs) on…

nlin.CD2021

Chaotic Dynamics of Polyatomic Systems with an Emphasis on DNA Models

Malcolm Hillebrand

We investigate the chaotic behaviour of multiparticle systems, in particular DNA and graphene models, by applying methods of nonlinear dynamics. Using symplectic integration techni…

nlin.CD2020

Chaotic dynamics of graphene and graphene nanoribbons

Malcolm Hillebrand, Bertin Many Manda, George Kalosakas +2

We study the chaotic dynamics of graphene structures, considering both a periodic, defect free, graphene sheet and graphene nanoribbons (GNRs) of various widths. By numerically cal…