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Creators/Authors contains: "Tang, Shaoqiang"

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HiDeNN-TD: Reduced-order hierarchical deep learning neural networks

https://doi.org/10.1016/j.cma.2021.114414

Zhang, Lei; Lu, Ye; Tang, Shaoqiang; Liu, Wing Kam (February 2022, Computer Methods in Applied Mechanics and Engineering)

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Hierarchical deep-learning neural networks: finite elements and beyond

https://doi.org/10.1007/s00466-020-01928-9

Zhang, Lei; Cheng, Lin; Li, Hengyang; Gao, Jiaying; Yu, Cheng; Domel, Reno; Yang, Yang; Tang, Shaoqiang; Liu, Wing Kam (January 2021, Computational Mechanics)

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A computational mechanics special issue on: data-driven modeling and simulation—theory, methods, and applications

https://doi.org/10.1007/s00466-019-01741-z

Liu, Wing Kam; Karniadakis, George; Tang, Shaoqiang; Yvonnet, Julien (August 2019, Computational Mechanics)

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Fast calculation of interaction tensors in clustering-based homogenization

https://doi.org/10.1007/s00466-019-01719-x

Zhang, Lei; Tang, Shaoqiang; Yu, Cheng; Zhu, Xi; Liu, Wing Kam (August 2019, Computational Mechanics)

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Nonlocal matching boundary conditions for non-ordinary peridynamics with correspondence material model

https://doi.org/10.1016/j.cma.2018.04.027

Nicely, Clint; Tang, Shaoqiang; Qian, Dong (August 2018, Computer Methods in Applied Mechanics and Engineering)

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Clustering discretization methods for generation of material performance databases in machine learning and design optimization

https://doi.org/10.1007/s00466-019-01716-0

Li, Hengyang; Kafka, Orion L.; Gao, Jiaying; Yu, Cheng; Nie, Yinghao; Zhang, Lei; Tajdari, Mahsa; Tang, Shan; Guo, Xu; Li, Gang; et al (August 2019, Computational Mechanics)

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