V
Vincent Mathot
Researcher at Katholieke Universiteit Leuven
Publications - 89
Citations - 3806
Vincent Mathot is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Crystallization & Differential scanning calorimetry. The author has an hindex of 36, co-authored 89 publications receiving 3553 citations. Previous affiliations of Vincent Mathot include Eindhoven University of Technology & DSM.
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Journal ArticleDOI
The Flash DSC 1, a power compensation twin-type, chip-based fast scanning calorimeter (FSC): First findings on polymers
Vincent Mathot,Marek Pyda,Thijs Pijpers,Geert Vanden Poel,Ernst van de Kerkhof,Sander van Herwaarden,Floor van Herwaarden,Archi Leenaers +7 more
TL;DR: The performance of the Flash DSC 1, a recently introduced chip fast scanning calorimeter (FSC) based on MEMS sensor technology, was studied in this paper, where the authors measured self nucleation, annealing and thermal fractionation, amorphization, and cross-over of crystallization behavior with scan rate variation for two polymers.
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High-Speed Calorimetry for the Study of the Kinetics of (De)vitrification, Crystallization, and Melting of Macromolecules †
TL;DR: High Performance DSC (HPer DSC) as discussed by the authors is a state-of-the-art mode of measurement for high-speed calorimetry, which facilitates the study of the kinetics and metastability of macromolecular systems.
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Design, performance and analysis of thermal lag of the UFS1 twin-calorimeter chip for fast scanning calorimetry using the Mettler-Toledo Flash DSC 1
Sander van Herwaarden,E. Iervolino,Floor van Herwaarden,Ties Wijffels,Archi Leenaers,Vincent Mathot +5 more
TL;DR: In this paper, the authors present a new twin-membrane calorimeter chip for fast differential scanning calorimetry (DSC) with the Flash DSC 1 of Mettler-Toledo.
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Use of SAXS and linear correlation functions for the determination of the crystallinity and morphology of semi-crystalline polymers. Application to linear polyethylene
TL;DR: The use of correlation functions to obtain the morphological parameters of crystalline-amorphous two-phase lamellar systems is critically reviewed and extended in this article, showing that processing of the experimental SAXS-patterns only significantly affects the curvature of the autocorrelation triangle and that the parameters of the corresponding ideal 2-phase structure can be determined independently of the data processing procedure.