Morphological analysis of Pd/C nanoparticles using SEM imaging and advanced deep learning Article Swipe

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Nguyễn Đức Thuận , Hoang Manh Cuong , Nguyen Hoang Nam , Nguyễn Thị Lan Hương , Hoang Si Hong ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.1039/d4ra06113f

In this study, we present a comprehensive approach for the morphological analysis of palladium on carbon (Pd/C) nanoparticles utilizing scanning electron microscopy (SEM) imaging and advanced deep learning techniques.

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Scanning Electron Microscope

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Scanning electron microscope Nanoparticle Materials science Palladium Nanotechnology Chemical engineering Chemistry Catalysis Composite material Engineering Organic chemistry

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Type: article
Language: en
Landing Page: https://doi.org/10.1039/d4ra06113f
OA Status: gold
Cited By: 5
References: 32
Related Works: 10
OpenAlex ID: https://openalex.org/W4404078521

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OpenAlex ID: https://openalex.org/W4404078521

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DOI: https://doi.org/10.1039/d4ra06113f

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Title: Morphological analysis of Pd/C nanoparticles using SEM imaging and advanced deep learning

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Type: article

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Language: en

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Publication year: 2024

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Publication date: 2024-01-01

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Authors: Nguyễn Đức Thuận, Hoang Manh Cuong, Nguyen Hoang Nam, Nguyễn Thị Lan Hương, Hoang Si Hong

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Landing page: https://doi.org/10.1039/d4ra06113f

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OA status: gold

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OA URL: https://doi.org/10.1039/d4ra06113f

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Concepts: Scanning electron microscope, Nanoparticle, Materials science, Palladium, Nanotechnology, Chemical engineering, Chemistry, Catalysis, Composite material, Engineering, Organic chemistry

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Cited by: 5

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citation_normalized_percentile.value	0.78225103
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False