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Patch-Based convolutional neural networks for multiple microstructural features detection in FIB-SEM micrographs of irradiated nuclear fuel. [PDF]
Uwaeze J +6 more
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Characterizing microscopic calcification deposits on acrylic intraocular lenses.
Ward CL +10 more
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Fly ash characterization by SEM–EDS
Fuel, 2006A study conducted at the National Energy Technology Laboratory characterized twelve Class F fly ash samples from nine PC power plants in PA, WV, MD and TN, using scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS). Both the surface and internal structure of fly ash particles were analyzed.
B KUTCHKO, A KIM
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SEM–EDS analysis and discrimination of forensic soil
Forensic Science International, 2004Soils vary among different areas, and have some characteristics because of the natural effects and transfers made by human and other living beings in time. So that forensic examination of soil is not only concerned with the analysis of naturally occurring rocks, minerals, vegetation, and animal matter.
Salih, Cengiz +4 more
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Fatigue fracture analysis of amalgam by SEM-EDS
Dental Materials, 1986Abstract The purpose of this study was to examine cracks generated in dental amalgam during compressive fatigue. Cracks were observed using SEM and composition was evaluated by Energy Dispersive X-ray Spectroscopy (EDS). Amalgam cylinders showed classical fatigue fracture.
S C, Bayne +2 more
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SEM-EDS Investigations of Self-Phosphating Coatings
Industrial & Engineering Chemistry Research, 1994A one-pack paint composition comprising polyester-melamine enamels and a predispersed amount of either phosphoric acid (H 3 PO 4 , in situ phosphatizing reagent), p-toluenesulfonic acid (p-TSA, polymer catalyst), or hydrofluoric acid (HF, surface etching agent) was formulated, coated, and thermally cured on a cold-rolled steel panel.
Li Li, Chhiu-Tsu Lin
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Innovative unattended SEM-EDS analysis for asbestos fiber quantification
Talanta, 2018Scanning electron microscopy with energy dispersive spectrometry (SEM-EDS) is the only affordable analytical technique that can discriminate both morphology and elemental composition of inorganic fibers. SEM-EDS is indeed required to quantify asbestos in confounding natural matrixes (e.g. ophiolites), but is also time-consuming, operator dependent, and
Cossio, Roberto +6 more
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