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4 results for “Fourier Neural Operator”
Huge ensembles part I design of ensemble weather forecasts with spherical Fourier neural operators; Huge ensembles part II properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators
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Data for performing wavepacket propagation using Fourier Neural Operators
<p>Datasets for training Fourier neural operator (FNO) [Li, Z., et al, 2021] and the trained models in <strong>Accelerating wavepacket propagation with Machine Learning </strong>by Kanishka Singh, Ka Hei Lee, Daniel Peláez and Annika Bande.</p> <ul> <li>data-gaussian-pulse-10000.pickle: Training dataset for 2D FNO model. The dataset contains 10000 wavefunction propagations under 1D double well which is generated by the split-operator method. Each propagation is influenced by a different laser pulse.</li> <li>data-gaussian-pulse-10000.pt: The trained 2D FNO model for wavefunction propagation under 1D double well influenced by laser pulse.</li> <li>anharmonic_FNO_dens.pt: Training dataset for 3D FNO model. The dataset contains 5100 wavefunction propagations under 2D anharmonic potential which is generated by the multi-configurational time-dependent Hartree (MCTDH) method [Beck, M., 2000]. The dataset is structured and a dictionary with input 'x_conv' and output 'y'.</li> <li>alllambda-anharmonic.pt: The trained 3D FNO model for wavefunction propagation under 2D anharmonic potential.</li> <li>anharmonic_FNO_dens-potential.pt: The 2D anharmonic potential of the 2D wavefunction propagations.</li> <li>anharmonic_FNO_dens-true.pt: The ground truth of the 2D wavefunction propagations by the MCTDH method.</li> <li>anharmonic_FNO_dens-pred.pt: The prediction of the 2D wavefunction propagations by the 3D FNO model.</li> </ul>
Learning the Stress-Strain Fields in Digital Composites using Fourier Neural Operator
<p>This is the dataset for the research paper "<a href="https://arxiv.org/abs/2207.03239 ">Learning the Stress-Strain Fields in Digital Composites using Fourier Neural Operator</a>"</p>
Dataset - Solving Seismic Wave Equation on Variable Velocity Models with Fourier Neural Operator
<p>The directory contains velocity models from OpenFWI dataset collection. These velocity models are the inputs of the FNO-based sovlers in the paper <strong><em>Solving Seismic Wave Equation on Variable Velocity Models with Fourier Neural Operator</em></strong>.</p>
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