A Bayesian Inference Approach to Accurately Fitting the Glass Transition Temperature in Thin Polymer Films

We present a Bayesian inference-based nonlinear least-squares fitting approach developed to reliably fit challenging, noisy data in an automated and robust manner. The advantages of using Bayesian inference for nonlinear fitting are demonstrated by applying this approach to a set of temperature-depe...

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Veröffentlicht in:	Macromolecules 2024-12, Vol.57 (23), p.11055-11074
Hauptverfasser:	Merrill, James H., Han, Yixuan, Roth, Connie B.
Format:	Artikel
Sprache:	eng
Schlagworte:	automation Bayesian theory glass transition glass transition temperature least squares polystyrenes
Online-Zugang:	Volltext
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