Results 141 to 150 of about 8,674 (299)
Empirical equations for electron backscattering coefficients
Empirical equations for electron backscattering ...
Koral, K. F., Cohen, A. J.
core
Intrinsic Mechanical Parameters and their Characterization in Solid‐State Lithium Batteries
This review focuses on the intrinsic mechanical parameters and their associated characterization in solid‐state batteries. The physical significance of mechanics parameters is introduced with exhaustive classifications by elastic, plastic deformations and fracture in bulk, adhesion, friction at interfaces, and mechanical fatigue in cells ...
Shuai Hao +5 more
wiley +1 more source
Relating the radar backscattering coefficient to leaf-area index
The relationship between the radar backscattering coefficient of a vegetation canopy, sigma(0) sub can, and the canopy's leaf area index (LAI) is examined.
Kanemasu, E. +3 more
core
Rare‐Earth Yttrium Doping Advances High‐Performance AgSbTe2 Thermoelectrics
Y‐doped AgSbTe2 achieves band and microstructure co‐optimization, with coherent Y‐Ag2Te interfaces enhancing phonon scattering and reducing lattice thermal conductivity to 0.26 W m−1 K−1. Combined with valence‐band broadening and increased carrier concentration, this yields ZT ≈ 2 at 623 K, average ZT = 1.5, and 7.3 % conversion efficiency of a single ...
Lan Li +11 more
wiley +1 more source
A flexible InGaP/GaAs/InGaAs triple‐junction platform encapsulated with ultrathin glass enables unassisted electrocatalysis and space applications by providing robust protection against chemically aggressive and radiation‐rich environments. This work establishes a unified III–V multijunction photovoltaic platform that bridges space photovoltaics and ...
Sukkyu Hong +10 more
wiley +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley +1 more source
Recent Advances in Stimulated Brillouin Scattering in Integrated Photonics
This review systematically surveys recent advances in stimulated Brillouin scattering (SBS) within integrated photonics. It begins by elucidating the fundamental mechanisms of stimulated coupling between photons and acoustic phonons in nanoscale waveguides, enhanced by the photoelastic and moving boundary effects.
Songyue Liu +8 more
wiley +1 more source
Polarized microscopic images of the outer bone cortex (a and b) and deeper trabecular bone (c and d) of the deer calcaneus in thin cross‐sections. The brighter gray levels reflect more oblique‐to‐transverse collagen fibers in the compression/dorsal bone (a, c) and the darker gray levels reflect more longitudinal collagen in the tension/plantar bone (b,
John G. Skedros +3 more
wiley +1 more source

