PODNO: Proper Orthogonal Decomposition Neural Operators
In this paper, we introduce Proper Orthogonal Decomposition Neural Operators (PODNO) for solving partial differential equations (PDEs) dominated by high-frequency components. Building on the structure of Fourier Neural Operators (FNO), PODNO replaces the Fourier transform with (inverse) orthonormal transforms derived from the Proper Orthogonal ...
Cheng, Zilan +3 more
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Optimization of air supply parameters for stratum ventilation based on proper orthogonal decomposition. [PDF]
Sustain Cities Soc, 2021 Liu Y, Pan W, Long Z.
europepmc +1 more source
EPJ Nuclear Sciences & TechnologiesThe flux distribution tallies using the proper orthogonal decomposition (POD) called “the POD tallies” have been developed in our previous study. The POD tallies can achieve dimensionality and statistical uncertainty reduction for a finely discretized ...
Kondo Ryoichi +2 more
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Constructing robust and efficient experimental designs in groundwater modeling using a Galerkin method, proper orthogonal decomposition, and metaheuristic algorithms. [PDF]
PLoS One, 2021 Ushijima TT, Yeh WWG, Wong WK.
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Proper Orthogonal Decomposition of Pressure Fluctuations in Moonpool [PDF]
, 2012 Sang Bong Lee +5 more
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New approaches for assessing squid fin motions: Coupling proper orthogonal decomposition with volumetric particle tracking velocimetry [PDF]
, 2018 Ian K. Bartol +3 more
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The Neural Network shifted-Proper Orthogonal Decomposition: a Machine Learning Approach for Non-linear Reduction of Hyperbolic Equations [PDF]
Computer Methods in Applied Mechanics and Engineering, 2021 Davide Papapicco +4 more
semanticscholar +1 more source
Characterizing Lagrangian particle dynamics in decaying HIT using proper orthogonal decomposition [PDF]
, 2021 Martin Schiødt +4 more
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