6533b828fe1ef96bd12882d8
RESEARCH PRODUCT
Using Dynamic Light Scattering Experimental Setup and Neural Networks For Particle Sizing
Dan ChiceaSilviu Mihai Reisubject
Materials scienceArtificial neural networkDynamic light scatteringbusiness.industryMechanical engineeringParticleGeneral MedicinebusinessAutomationSizingdescription
Abstract Using a Lorentzian function fit as reference, a basic experiment was designed for processing Dynamic Light Scattering time series, allowing to estimate the average particle size of a suspension. For fitting the averaged power spectrum of the time series, several neural network configurations were tested in order to compare the results with the reference. The results of this comparison revealed a good match, serving as a proof of concept for using neural networks as an alternative for DLS time series processing.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-12-20 | ACTA Universitatis Cibiniensis |