Volume 2 Issue 10, October 2022

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.

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.

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.

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.

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.

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.

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.

Conduction of neural impulses along axons in the brain is sped up by a substance called myelin, which changes during development and learning. This study reveals that myelin remodelling coordinates and optimizes neuronal communication.

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.