Classification of Aggregates Using Multispectral Two-Dimensional Angular Light Scattering Simulations

Classification of Aggregates Using Multispectral Two-Dimensional Angular Light Scattering Simulations

Airborne particulate matter plays an important role in climate change and health impacts, and is generally irregularly shaped and/or forms agglomerates. These particles may be characterized through their light scattering signals. Two-dimensional angular scattering from such particles produce a speck...

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Hlavní autoři: Jaeda M. Mendoza, Kenzie Chen, Sequoyah Walters, Emily Shipley, Kevin B. Aptowicz, Stephen Holler
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2022-10-01
Edice:Molecules
Témata:
light scattering
aggregates
T-matrix
machine learning
classification
clusters
On-line přístup:https://www.mdpi.com/1420-3049/27/19/6695

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https://www.mdpi.com/1420-3049/27/19/6695

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