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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...
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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...
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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–...