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Daniele Avitabile

Researcher at VU University Amsterdam

Publications -  79
Citations -  1716

Daniele Avitabile is an academic researcher from VU University Amsterdam. The author has contributed to research in topics: Nonlinear system & Numerical continuation. The author has an hindex of 20, co-authored 79 publications receiving 1397 citations. Previous affiliations of Daniele Avitabile include University of Surrey & French Institute for Research in Computer Science and Automation.

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Localized Hexagon Patterns of the Planar Swift–Hohenberg Equation

TL;DR: It is found that stationary spatially localized hexagon patterns of the two-dimensional (2D) Swift–Hohenberg equation exhibit snaking: for each parameter value in the snaking region, an infinite number of patterns exist that are connected in parameter space and whose width increases without bound.
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Bistable plates for morphing structures: A refined analytical approach with high-order polynomials

TL;DR: In this article, a non-dimensional version of classical plate Lamination Theory with von Karman nonlinear strains is developed and presented to study bistable plates' behavior and the results are validated against finite elements analysis.
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To snake or not to snake in the planar Swift-Hohenberg equation

TL;DR: The bifurcation structure of stationary localized patterns of the two-dimensional Swift–Hohenberg equation on an infinitely long cylinder and on the plane is investigated and fully localized roll structures are studied, which are often referred to as worms.
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Oxidative Stress-Induced miR-200c Disrupts the Regulatory Loop Among SIRT1, FOXO1, and eNOS

TL;DR: In vitro results were validated in three in vivo models of oxidative stress, that is, human skin fibroblasts from old donors, femoral arteries from old mice, and a murine model of hindlimb ischemia, and the role of miR-200c on ROS modulation was also investigated.
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Generalised path-following for well-behaved nonlinear structures

TL;DR: In this paper, the authors focus on shape-morphing, a bio-inspired design strategy that intends to conform structures to different operating conditions, and show that the full complexity of multi-snap events of morphing composite laminates is robustly captured by generalised path-following algorithms.