Sign Up to like & get
recommendations!
0
Published in 2024 at "Advanced Electronic Materials"
DOI: 10.1002/aelm.202300875
Abstract: The application of machine learning in materials science has yielded several benefits, including the prediction of physical properties and the improvement of experimental efficiency. However, with complex models, such as convolutional neural networks (CNN), learning…
read more here.
Keywords:
backscattering diffraction;
machine learning;
electron backscattering;
prediction ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2019 at "Microscopy and Microanalysis"
DOI: 10.1017/s1431927619012303
Abstract: It is often assumed that some signals (e.g., backscatter, continuum) emitted from electron solid interactions can be extrapolated from pure element observations to compounds by means of the assumption of average atomic number, or Z-bar…
read more here.
Keywords:
electron backscattering;
average atomic;
atomic number;
number electron ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "Journal of Applied Physics"
DOI: 10.1063/5.0208968
Abstract: We have calculated electron backscattering coefficients, η(Ep), at primary electron energies Ep of 0.1–100 keV for three elemental and intermediate atomic number solids, Cr, Co and Pd, with an up-to-date Monte Carlo simulation model. A relativistic…
read more here.
Keywords:
electron backscattering;
carlo simulation;
backscattering coefficients;
monte carlo ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2025 at "Journal of Applied Physics"
DOI: 10.1063/5.0293309
Abstract: In this work, empirical relations are proposed for determination of the coefficient and the energy of backscattered electrons (BSE) depending on target atomic number Z, incident energy ЕВ, and angle α of primary electrons. Analytical…
read more here.
Keywords:
electron microscope;
electron backscattering;
coefficient nanostructures;
scanning electron ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "Advances in Natural Sciences: Nanoscience and Nanotechnology"
DOI: 10.1088/2043-6262/ad6cc1
Abstract: GO and rGO are carbon nanostructures with a wide range of applications. The carbon/oxygen ratio (C/O) is a basic parameter that determines many of its essential properties. The large-scale production of these materials requires the…
read more here.
Keywords:
method;
graphene oxide;
use fast;
electron backscattering ... See more keywords