Nonlinear manifold learning determines microgel size from Raman spectroscopy

Polymer particle size constitutes a crucial characteristic of product quality in polymerization. Raman spectroscopy is an established and reliable process analytical technology for in‐line concentration monitoring. Recent approaches and some theoretical considerations show a correlation between Rama...

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Veröffentlicht in:	AIChE journal 2024-10, Vol.70 (10), p.n/a
Hauptverfasser:	Koronaki, Eleni D., Kaven, Luise F., Faust, Johannes M. M., Kevrekidis, Ioannis G., Mitsos, Alexander
Format:	Artikel
Sprache:	eng
Schlagworte:	Diffusion diffusion maps Light scattering Machine learning Manifolds (mathematics) Microgels Neural networks nonlinear manifold Particle size Photon correlation spectroscopy polymerization Polymers Raman spectra Raman spectroscopy Signal quality Spectroscopy Technology assessment
Online-Zugang:	Volltext
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