Determination of droplet size from wide-angle light scattering image data using convolutional neural networks

Determination of droplet size from wide-angle light scattering image data using convolutional neural networks

Wide-angle light scattering (WALS) offers the possibility of a highly temporally and spatially resolved measurement of droplets in spray-based methods for nanoparticle synthesis. The size of these droplets is a critical variable affecting the final properties of synthesized materials such as hetero-...

Full description

Bibliographic Details
Main Authors: Tom Kirstein, Simon Aßmann, Orkun Furat, Stefan Will, Volker Schmidt
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Machine Learning: Science and Technology
Subjects:
inverse problem
machine learning
convolutional neural network
WALS imaging
nanoparticle synthesis
spray flame synthesis
Online Access:https://doi.org/10.1088/2632-2153/ad2f53

Internet

https://doi.org/10.1088/2632-2153/ad2f53

Similar Items