Supplementary document for Using pretrained machine learning models to predict luminous and solar transmittance controllability of liquid crystal/polymer composites from microstructural images - 6547131.pdf

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.23934900
Primary Topic
Machine Learning in Materials Science
Type
article
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Supplementary document for Using pretrained machine learning models to predict luminous and solar transmittance controllability of liquid crystal/polymer composites from microstructural images - 6547131.pdf

Figshare
Machine Learning in Materials Science
article

Supplementary document for Using pretrained machine learning models to predict luminous and solar transmittance controllability of liquid crystal/polymer composites from microstructural images - 6547131.pdf

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Abstract

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Machine Learning in Materials Science
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Supplementary document for Using pretrained machine learning models to predict luminous and solar transmittance controllability of liquid crystal/polymer composites from microstructural images - 6547131.pdf · Figshare (2025) | TGRS Research Map | TGRS