Results 71 to 80 of about 7,345 (261)
Revisiting the identification of generalized Maxwell models from experimental results
Linear viscoelastic material behavior is often modeled using a generalized Maxwell model. The material parameters, i.e. relaxation times and elastic moduli, of the Maxwell elements are determined from either a relaxation or a Dynamical Mechanical Analysis (DMA) experiments.
Jalocha, D. +2 more
openaire +2 more sources
Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar +10 more
wiley +1 more source
This work develops a breathable potentiometric self‐powered pressure sensor with good wearability, using a non‐woven fabric substrate and hydrogel electrolyte. The sensor is integrated into a five‐channel smart glove to acquire reliable hand motion signals, which are processed by a CNN for identity verification and smart vehicle control in human ...
Qilong Zhang +10 more
wiley +1 more source
Wide Temperature Zero Thermal Expansion in Al Matrix Composites with High Thermal Conductivity
Strain engineering strategy is implemented on the negative thermal expansion (NTE) phase Zn1.6Mg0.4P2O7 within composites, where Al matrix‐induced compressive strain drives uniform polyhedral and unit cell evolution, thereby enabling broad and consistent thermal compensation efficacy and obtaining good thermal performance.
Jinrui Qian +14 more
wiley +1 more source
Nonlinear convective stratified flow of Maxwell nanofluid with activation energy
The aim of present article is to explore the novel aspects of activation energy in nonlinearly convective flow of Maxwell nanofluid driven by nonlinearly stretched inclined cylinder.
Misbah Ijaz, Muhammad Ayub
doaj +1 more source
Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe +4 more
wiley +1 more source
The Interaction of the Maxwell Flows of General Form for the Bryan-Pidduck Model
This work was partially supported by the NAS of Ukraine Project "Linear evolution equations in a Hilbert space and the Boltzmann equation".
Hukalov, O.O., Gordevskyy, V.D.
openaire +2 more sources
Our work bridges the gap between skyrmion discovery and material design by demonstrating how atomic‐scale control of exchange interactions enables tunable skyrmion phase transitions in centrosymmetric magnetic metals. ABSTRACT Magnetic skyrmions are topologically protected spin states that hold promise for shaping the future of electronics.
Dasuni N. Rathnaweera +9 more
wiley +1 more source
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun +5 more
wiley +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source

