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    Chapter and Conference Paper

    udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge

    Physics-Informed Neural Networks (PINNs) have demonstrated their effectiveness in solving partial differential equations (PDEs) by integrating PDE knowledge into the neural network training process. However, p...

    Nanxi Chen, Jiyan Qiu, Pengcheng Shi in Knowledge Science, Engineering and Managem… (2023)

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    Chapter and Conference Paper

    Sparse Reconstruction Method for Flow Fields Based on Mode Decomposition Autoencoder

    The accurate reconstruction of global flow fields from sparse measurements has been a longstanding challenge in which the quantity and positioning of measurements play a critical role. To address this issue, w...

    Jiyan Qiu, Wu Yuan, **aoyi Hu, Jian Zhang in PRICAI 2023: Trends in Artificial Intellig… (2024)

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    Article

    Mixed-precision block incomplete sparse approximate preconditioner on Tensor core

    In this paper, we propose and implement a mixed-precision Block-ISAI preconditioner for solving linear systems from multiphysics areas. By leveraging FP32 computing, our approach accelerates the sparse matrix–...

    Haoyuan Zhang, Wenpeng Ma, Wu Yuan in CCF Transactions on High Performance Compu… (2024)