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Volume 2 Issue 10, October 2022

Biomechanical design inspired by dehydrated passion fruits

Morphological changes are ubiquitous in many biological systems and can inspire engineering design. The modeling and prediction of such pattern formation, however, pose challenges due to the high nonlinear nature of the problem. In this issue, Xu et al. develop a solid mechanics model that explains and predicts observed morphology changes on a dehydrated passion fruit surface. This predicted chiral wrinkling topology further inspires the design of smart robotics, such as of a target-adaptive gripper.

See Xu et al. and Dal Corso

Cover design: Alex Wing. Image: Fan Xu, Fudan University.


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Research Highlights

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News & Views

  • The modeling of non-linear morphological changes in biological systems is a challenging task. Motivated by the observation of exotic pattern formation processes on fruit surfaces, a chiral wrinkling topology is disclosed as a mechanical structural instability, which is then exploited for the design of enhanced adaptive graspers.

    • Francesco Dal Corso
    News & Views
  • The simulation of relativistic flows that can transit from a fluid-like to a gas-like substance poses challenges for computational methods. A lattice kinetic scheme is proposed to simulate such flows, which allows a computational probe of both strongly and weakly interacting regimes.

    • Paul Romatschke
    News & Views
  • In a recent study a phenomenological model was used to study the effects of activity-dependent myelination (ADM) on network activity and information transmission in the brain. The model explores how the conduction velocity of an axon — and thus the overall transmission delay — varies as a function of neural activity.

    • Maurice J. Chacron
    News & Views
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Research Briefings

  • Designing efficient bike path networks requires balancing multiple opposing constraints such as cost and safety. An adaptive demand-driven inverse percolation approach is proposed to generate efficient network structures by explicitly taking into account the demands of cyclists and their route choice behavior based on safety preferences.

    Research Briefing
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  • This study reports a chiral instability topography in highly deformed core–shell spheres. A core–shell model and a scaling law are developed to understand its morphoelastic mechanism, which helps the design of a nature-inspired smart topographic gripper based on chiral localization.

    • Fan Xu
    • Yangchao Huang
    • Xi-Qiao Feng
    Article Open Access
  • A family of lattice kinetic schemes is introduced for the simulation of relativistic flows. Taking advantage of GPU acceleration, the scheme allows one to efficiently probe both strongly and weakly interacting regimes, for massive and massless particles.

    • V. E. Ambruş
    • L. Bazzanini
    • R. Tripiccione
  • Designing efficient bike path networks requires balancing multiple constraints. In this study, a demand-driven inverse percolation approach is proposed to generate families of efficient bike path networks taking into account cyclist demand and safety preferences.

    • Christoph Steinacker
    • David-Maximilian Storch
    • Malte Schröder
  • A strategy for cooperation in repeated games, called cumulative reciprocity, is proposed. This strategy is robust with respect to errors, enforces fair outcomes, and evolves in environments that are usually hostile to cooperation.

    • Juan Li
    • Xiaowei Zhao
    • Haoxiang Xia
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