We investigated patterns formed during the polymerization process of bifunctional monomers in a liquid crystal for both large polymer concentrations (polymer-dispersed liquid crystals, PDLC) and small concentrations (polymer-stabilized liquid crystals, PSLC). The resulting experimental patterns are reminiscent of Voronoi diagrams, so a reverse Voronoi algorithm was developed that provides the seed locations of cells, thus allowing a computational reproduction of the experimental patterns. Several metrics were developed to quantify the commonality between the faithful experimental patterns and the idealized and generated ones. This led to descriptions of the experimental patterns with accuracies better than 90% and showed that the curvature or concavity of the cell edges was below 2%. Possible reasons for the discrepancies between the original and generated Voronoi diagrams are discussed. The introduced algorithm and quantification of the patterns could be transferred to many other experimental problems, for example, melting of thin polymer films, ultra-thin metal films, or bio-membranes. The discrepancies between the experimental and ideal Voronoi diagrams are quantified, which may be useful in the quality control of privacy windows, reflective displays, or smart glass.
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http://dx.doi.org/10.3390/ma18051106 | DOI Listing |
Materials (Basel)
February 2025
Department of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK.
We investigated patterns formed during the polymerization process of bifunctional monomers in a liquid crystal for both large polymer concentrations (polymer-dispersed liquid crystals, PDLC) and small concentrations (polymer-stabilized liquid crystals, PSLC). The resulting experimental patterns are reminiscent of Voronoi diagrams, so a reverse Voronoi algorithm was developed that provides the seed locations of cells, thus allowing a computational reproduction of the experimental patterns. Several metrics were developed to quantify the commonality between the faithful experimental patterns and the idealized and generated ones.
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
July 2024
In Positron Emission Tomography (PET) detectors, effective analysis of flood histograms is essential for evaluating detector performance. This study outlines a detailed procedure for generating and analyzing these histograms, using techniques including Weighted Spot Deviation (WSD), Voronoi Diagrams (VD), and Delaunay Triangulation (DT). We applied these techniques to a PET detector system utilizing an 8x8 LSO scintillator crystal array and a data acquisition circuit integrating a Sigma-Delta ADC and FPGA-based DAQ.
View Article and Find Full Text PDFExtraction of a high-fidelity 3D medial axis is a crucial operation in CAD. When dealing with a polygonal model as input, ensuring accuracy and tidiness becomes challenging due to discretization errors inherent in the mesh surface. Commonly, existing approaches yield medial-axis surfaces with various artifacts, including zigzag boundaries, bumpy surfaces, unwanted spikes, and non-smooth stitching curves.
View Article and Find Full Text PDFPLoS One
February 2025
School of Mechatronical Engineering, Changchun University of Technology, Changchun, China.
Optical free-form surfaces are often used to manufacture optical components such as lenses and mirrors, and free zone surface optical components are widely used in aerospace optics. To address the issues of low processing quality and overall efficiency in the machining of aluminum alloy free-form surfaces, an efficient numerical control machining method based on surface segmentation has been proposed. The segmentation of free-form surfaces is divided into two stages: the recognition of surface partitions and the determination of surface boundaries.
View Article and Find Full Text PDFWorld J Urol
February 2025
Division of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Italy.
Introduction: The aim of the study is to evaluate the role of a new generation of 3D virtual models (3DVM) implemented with perfusion volumes algorithm, in influencing perioperative and functional outcomes after robotic partial nephrectomy (RAPN).
Methods: A perfusion volume 3DVM was built using Voronoi diagram-based algorithm for all the organ-confined renal masses candidate for RAPN from 12/2019 to 12/2022. On its basis, a selective or super-selective clamping was planned.
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