Results 61 to 70 of about 12,546 (265)
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source
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
The damage analysis of the reinforced concrete beam and the prestressed reinforced concrete beam
The paper deals with the finite-element analysis of damage in reinforced concrete beam and prestressed reinforced concrete beam. The steel reinforcement is modeled using non-linear rebar elements and an elastoplastic model of the reinforcement is ...
Vaško Milan +5 more
doaj +1 more source
Nonplanar Bouligand Architectures for Enhanced Mechanical Performance in Cementitious Composites
Inspired by the impact region of the Mantis shrimp dactyl club, nonplanar additive manufacturing translates sinusoidal Bouligand architectures into cementitious composites. Printing‐induced anisotropy and architected interfaces promote distributed damage and arrest crack propagation, enhancing strength and energy absorption.
Yu Wang +7 more
wiley +1 more source
Efficient in‐Plane Exciton Transport in a Discontinuous Layered Lead‐Bromide Perovskite
A new class of two‐dimensional lead‐bromide perovskite based on monovalent 4‐aminomethylbenzoic acid cations is presented, featuring a discontinuous inorganic layer. Despite the discontinuous lattice, transient photoluminescence microscopy demonstrates efficient though strongly anisotropic in‐plane exciton transport.
Raquel Utrera‐Melero +9 more
wiley +1 more source
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
Modeling of reinforcement of reinforced concrete elements with composite materials
One of the effective types of additional reinforcement of reinforced concrete elements is external with the use of composite materials. Known methods for calculating the parameters of the stress-strain state of reinforced elements are based on the general deformation and block models, which are applied separately without their interaction.
Egor D. Lazousky +3 more
openaire +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
Nano‐TiO2 and carboxylated cellulose nanofibers jointly regulate hydration‐product distribution in cementitious composites. Improved microstructural continuity and refined pore structure accompany enhanced strength and surface stability without a substantial increase in overall hydration.
Kailun Chen +8 more
wiley +1 more source
LOCAL SCALE DAMPING MODEL FOR REINFORCED CONCRETE ELEMENTS [PDF]
Chambreuil, Clotilde +3 more
openaire +3 more sources

