Latent representation learning in physics-informed neural networks for full waveform inversion
Full waveform inversion (FWI), a state-of-the-art seismic inversion algorithm, comprises an iterative data-fitting process to recover high-resolution Earth’s properties (e.g., velocity).
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Cross-plane shear wave elastography for viscoelasticity imaging. [PDF]
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Joint full waveform inversion and source localization of virtual and actual passive source seismic data. [PDF]
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Numerical Simulation and Borehole Azimuthal Acoustic Imaging of Near-Borehole Caves in Formations with Axially Non-Uniform Wave Velocities. [PDF]
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Mechanical Contribution of the Anterior Talofibular Ligament to Ankle Stability: 3D Anatomical Finite Element Analysis. [PDF]
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