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Cluster‐Size–Based Quantification of Nanoparticle Dispersion in Epoxy Nanocomposites Using TEM Analysis and Machine‐Learning Regressions

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Published in:IET Nanodielectrics
Format: Online Article RSS Article
Published: 2026
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container_title IET Nanodielectrics
description
discipline_display Electronics
discipline_facet Electronics
format Online Article
RSS Article
genre Journal Article
id rss_article:74260
institution FRELIP
journal_source_facet IET Nanodielectrics
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Cluster‐Size–Based Quantification of Nanoparticle Dispersion in Epoxy Nanocomposites Using TEM Analysis and Machine‐Learning Regressions
Electronics
General
Electronics
sub_discipline_display General
sub_discipline_facet General
subject_display Electronics
General
Electronics
Electronics
General
Electronics
subject_facet Electronics
General
Electronics
title Cluster‐Size–Based Quantification of Nanoparticle Dispersion in Epoxy Nanocomposites Using TEM Analysis and Machine‐Learning Regressions
title_auth Cluster‐Size–Based Quantification of Nanoparticle Dispersion in Epoxy Nanocomposites Using TEM Analysis and Machine‐Learning Regressions
title_full Cluster‐Size–Based Quantification of Nanoparticle Dispersion in Epoxy Nanocomposites Using TEM Analysis and Machine‐Learning Regressions
title_fullStr Cluster‐Size–Based Quantification of Nanoparticle Dispersion in Epoxy Nanocomposites Using TEM Analysis and Machine‐Learning Regressions
title_full_unstemmed Cluster‐Size–Based Quantification of Nanoparticle Dispersion in Epoxy Nanocomposites Using TEM Analysis and Machine‐Learning Regressions
title_short Cluster‐Size–Based Quantification of Nanoparticle Dispersion in Epoxy Nanocomposites Using TEM Analysis and Machine‐Learning Regressions
title_sort cluster‐size–based quantification of nanoparticle dispersion in epoxy nanocomposites using tem analysis and machine‐learning regressions
topic Electronics
General
Electronics
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/nde2.70028?af=R