Incorporating plasmonic featurization with machine learning to achieve accurate and bidirectional prediction of nanoparticle size and size distribution

Research article (Nanoscale Horizons, 2022) · cited 34× · AI/ML
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Incorporating plasmonic featurization with machine learning to achieve accurate and bidirectional prediction of nanoparticle size and size distribution

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Incorporating plasmonic featurization with machine learning to achieve accurate and bidirectional prediction of nanoparticle size and size distribution is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Incorporating plasmonic featurization with machine learning to achieve accurate and bidirectional prediction of nanoparticle size and size distribution. Retrieved May 24, 2026, from https://4ort.xyz/entity/incorporating-plasmonic-featurization-with-machine-learning-to-achieve-accurate-and-bidirectional-prediction-of-nanopart
MLA “Incorporating plasmonic featurization with machine learning to achieve accurate and bidirectional prediction of nanoparticle size and size distribution.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/incorporating-plasmonic-featurization-with-machine-learning-to-achieve-accurate-and-bidirectional-prediction-of-nanopart.
BibTeX @misc{4ortxyz_incorporating-plasmonic-featurization-with-machine-learning-to-achieve-accurate-and-bidirectional-prediction-of-nanopart_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Incorporating plasmonic featurization with machine learning to achieve accurate and bidirectional prediction of nanoparticle size and size distribution}}, year = {2026}, url = {https://4ort.xyz/entity/incorporating-plasmonic-featurization-with-machine-learning-to-achieve-accurate-and-bidirectional-prediction-of-nanopart}, note = {Accessed: 2026-05-24}}
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