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Yongjie Jessica Zhang
Researcher at Carnegie Mellon University
Publications - 75
Citations - 1337
Yongjie Jessica Zhang is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Isogeometric analysis & Centroidal Voronoi tessellation. The author has an hindex of 16, co-authored 68 publications receiving 780 citations. Previous affiliations of Yongjie Jessica Zhang include Chinese Academy of Sciences.
Papers
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Journal ArticleDOI
An isogeometric collocation method using superconvergent points
TL;DR: In this article, an IGA collocation method modified by collocating at points other than the standard Greville abscissae is presented, which converges in the first derivative (energy) norms at rates similar to the Galerkin solution.
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Tissue-scale, personalized modeling and simulation of prostate cancer growth
Guillermo Lorenzo,Michael A. Scott,Kevin Tew,Thomas J. R. Hughes,Yongjie Jessica Zhang,Lei Liu,Guillermo Vilanova,Hector Gomez +7 more
TL;DR: A simple continuous model is presented that reproduces the growth patterns of PCa and is shown to reproduce a known shape instability from a spheroidal pattern to fingered growth, which enables the tumor to minimize the distance from inner cells to external nutrients, contributing to cancer survival and further development.
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Seamless integration of design and Kirchhoff–Love shell analysis using analysis-suitable unstructured T-splines
Hugo Casquero,Xiaodong Wei,Xiaodong Wei,Deepesh Toshniwal,Angran Li,Thomas J. R. Hughes,Josef Kiendl,Yongjie Jessica Zhang +7 more
TL;DR: Improve the construction of C 1 -continuous non-negative spline basis functions near extraordinary points to obtain optimal convergence rates with respect to the square root of the number of degrees of freedom when solving linear elliptic problems.
Journal ArticleDOI
Blended B-spline construction on unstructured quadrilateral and hexahedral meshes with optimal convergence rates in isogeometric analysis
Xiaodong Wei,Yongjie Jessica Zhang,Deepesh Toshniwal,Hendrik Speleers,Xin Li,Carla Manni,John A. Evans,Thomas J. R. Hughes +7 more
TL;DR: The blended B-spline construction yields consistent parameterization during refinement and exhibits optimal convergence rates, and can be used in existing finite element frameworks.
Book
Geometric Modeling and Mesh Generation from Scanned Images
TL;DR: One of the first to cover this emerging interdisciplinary field, the book addresses biomedical/material imaging, image processing, geometric modeling and visualization, FEM, and biomedical and engineering applications.