H
Hongyi Xu
Researcher at University of Connecticut
Publications - 60
Citations - 1157
Hongyi Xu is an academic researcher from University of Connecticut. The author has contributed to research in topics: Representative elementary volume & Computer science. The author has an hindex of 14, co-authored 50 publications receiving 801 citations. Previous affiliations of Hongyi Xu include Northwestern University & Tsinghua University.
Papers
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Descriptor-based methodology for statistical characterization and 3D reconstruction of microstructural materials
TL;DR: In this article, a descriptor-based methodology for reconstructing 3D particle-based heterogeneous microstructures based on 2D images is proposed, which is the most useful when the direct 3D microstructure analysis, such as 3D tomography, is not available.
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A Descriptor-Based Design Methodology for Developing Heterogeneous Microstructural Materials System
TL;DR: This paper integrates state-of-the-art computational design methods such as design of experiment, metamodeling, statistical sensitivity analysis, and multi-objective optimization, into one design optimization framework to automate the microstructure design process.
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A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures
TL;DR: A new machine learning-based method for identifying the key microstructure descriptors from vast candidates as potential microstructural design variables is proposed, which effectively reduces the infinite dimension of the microst structure design space to a small set of descriptors without a significant information loss.
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Uncertainty quantification in multiscale simulation of woven fiber composites
Ramin Bostanabad,Biao Liang,Jiaying Gao,Wing Kam Liu,Jian Cao,Danielle Zeng,Xuming Su,Hongyi Xu,Yang Li,Wei Chen +9 more
TL;DR: The top-down sampling method is introduced that allows to model non-stationary and continuous (but not differentiable) spatial variations of uncertainty sources by creating nested random fields (RFs) where the hyperparameters of an ensemble of RFs is characterized by yet another RF.
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Stalking the Materials Genome: A Data-Driven Approach to the Virtual Design of Nanostructured Polymers.
Curt M. Breneman,L. Catherine Brinson,Linda S. Schadler,Bharath Natarajan,Michael Krein,Ke Wu,Lisa Morkowchuk,Yang Li,Hua Deng,Hongyi Xu +9 more
TL;DR: A paradigm for the virtual design of spherical nanoparticle-filled polymers is demonstrated and is effective for the prediction of meso-scale morphologies and macro-scale properties under quasi-equilibrium processing conditions, the protocol has far ranging implications for Virtual Design.