Results 41 to 50 of about 47,512 (262)
The eight-chain model, also known as Arruda-Boyce model, is widely used to capture the rate-independent hyperelastic response of rubber-like materials. The parameters of this model are physically based and explained from micromechanics of chain molecules.
Hossain Mokarram +2 more
doaj +1 more source
Phenomenological Material Model for First-Order Electrocaloric Material
Caloric cooling systems are potentially more efficient than systems based on vapour compression. Electrocaloric cooling systems use a phase transformation from the paraelectric to the ferroelectric state by applying or removing an electric field to pump ...
Sabrina Unmüßig +4 more
doaj +1 more source
Nanoplasmonics Reveal Ionic‐Strength‐Driven Hydration of Nanoparticles
Localized surface plasmon resonance (LSPR) of gold nanoparticles (AuNPs) is modulated by ionic‐strength‐dependent hydration shell compression. A predictive model connects shell thickness to non‐radiative damping and spectral shifts over seven orders of magnitude.
Yeeun Song +4 more
wiley +1 more source
Phenomenological model for long-wavelength optical modes in transition metal dichalcogenide monolayer [PDF]
C. Trallero‐Giner +4 more
openalex +1 more source
Quantifying Spin Defect Density in hBN via Raman and Photoluminescence Analysis
An all‐optical method is presented for quantifying the density of boron vacancy spin defects in hexagonal boron nitride (hBN). By correlating Raman and photoluminescence signals with irradiation fluence, defect‐induced Raman modes are identified and established an relationship linking optical signatures to absolute defect densities. This enables direct
Atanu Patra +8 more
wiley +1 more source
Introduction: Assessing a patient’s risk of scar-based ventricular tachycardia (VT) after myocardial infarction is a challenging task. It can take months to years after infarction for VT to occur. Also, if selected for ablation therapy, success rates are
Evianne Willems +7 more
doaj +1 more source
Phenomenological model of superconducting optoelectronic loop neurons
Superconducting optoelectronic loop neurons are a class of circuits potentially conducive to networks for large-scale artificial cognition. These circuits employ superconducting components including single-photon detectors, Josephson junctions, and ...
Jeffrey M. Shainline +2 more
doaj +1 more source
Photomultiplication organic photodetectors (PM OPDs) are an attractive strategy for health‐monitoring. Here, PM‐OPDs are reported with a specific detectivity of 5.7 × 1012 Jones and external quantum efficiency values of 3500% under −10 V. The dynamics of carrier trapping in these devices are elucidated through trap selective spectroscopical techniques.
Marie Houot +9 more
wiley +1 more source
Does a Morphotropic Phase Boundary Exist in ZrxHf1‐xO2‐Based Thin Films?
This study investigates 6 nm zirconium‐rich hafnium‐zirconium oxide thin–film metal–insulator–metal capacitors using a combination of experimental methods and machine learning–based molecular dynamics simulations to provide insight into the physical mechanisms that enhance the dielectric constant near 0 V and attribute it to the field‐induced ...
Pramoda Vishnumurthy +9 more
wiley +1 more source
Experimental measurements focused on the investigation of a fibre behaviour are performed on an assembled weigh-fibre-pulley-drive mechanical system. The fibre is driven with one drive and it is led over a pulley. On its other end there is a prism-shaped
Polach P. +4 more
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