Results 71 to 80 of about 5,264,500 (305)
Organic artificial neurons couple mechanical deformation and ionic environments through nonlinear mechano‐electrochemical dynamics. Mechanical strain and electrolyte concentration reshape their nonlinear electrical characteristics, programming excitatory or inhibitory spiking responses that mimic mechanosensitive biological neurons and enable ...
Rassen Boukraa +4 more
wiley +1 more source
In this paper, a comprehensive computational framework is established based on multiscale asymptotic analysis for analyzing the heat conduction performances of quasi-periodic composite structures, integrating lower-and higher-order microscopic unit cell ...
DING Yifei; DONG Hao
doaj +1 more source
Computing asymptotic gains of large-scale interconnections [PDF]
This paper considers the problem of verifying stability of large-scale nonlinear dynamical systems. Using a comparison principle approach we present a numerical method for estimating the asymptotic gain characterizing the effect of external disturbances on the stability of a large-scale interconnection. The key contribution is to make use of solely the
Björn Rüffer +2 more
openaire +2 more sources
Multilayer aerosol jet printed components with a low‐loss, thermally stable dielectric are demonstrated using benzocyclobutene. Ink formulation and in‐line droplet evaporation control support high‐quality, versatile, and stable printing performance. A specialized measurement for low‐loss materials reveals promising microwave properties, which, combined
Md Ramjan Ali +3 more
wiley +1 more source
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim +6 more
wiley +1 more source
Asymptotic Mandelbrot Law for Some Evolving Networks
Complex networks are now the focus of many branches of research. Particularly, the scale-free property of some networks is of great interest, due to their importance and pervasiveness.
Jiyuan Tan, Li Li, Yi Zhang
doaj +1 more source
Liquid Crystal Elastomer Actuator Matrix for Large Area Applications
A scalable approach is used to manufacture a digitally‐controllable, 2D 5 × 5 actuator matrix. The elements of the matrix are produced by direct ink writing of a liquid crystal elastomer ‘artificial muscle’ on large‐area flexible thin‐film heaters. In optimizing the low‐power actuators, multiple heater designs and substrate materials are investigated ...
Giulia Spallanzani +5 more
wiley +1 more source
Locally periodic unfolding method and two-scale convergence on surfaces of locally periodic microstructures [PDF]
In this paper we generalize the periodic unfolding method and the notion of two-scale convergence on surfaces of periodic microstructures to locally-periodic situations.
Ptashnyk, Mariya +2 more
core +1 more source
Emergence of cosmological scaling behavior in the asymptotic regime [PDF]
In this paper we consider a scalar field system with a class of potentials given by the expression, $V(ϕ)\propto ϕ^m {\rm exp}({-λϕ^n/{M^n_{Pl}}})$; $m\geqslant 0, n>1$ for which $Γ=V_{ϕϕ}V/V^2_ϕ\to 1 $ as $|ϕ|\to \infty$. We carry out dynamical analysis for the underlying system choosing a suitable set of autonomous variables and find all the fixed
Skugoreva M., Sami M., Jaman N.
openaire +3 more sources
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka +3 more
wiley +1 more source

