Upwind, No More: Flexible Traveltime Solutions using Physics-Informed Neural Networks

The eikonal equation plays an important role across multidisciplinary branches of science and engineering. In geophysics, the eikonal equation, and its characteristics, are used in addressing two fundamental questions pertaining to seismic waves: what paths do the seismic waves take (its spreading)?...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2022, Vol.60, p.1-1
Hauptverfasser:	Taufik, Mohammad H., Waheed, Umair bin, Alkhalifah, Tariq A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computational modeling Eikonal equation Finite difference method Finite difference methods Functionally gradient materials Geophysics Interpolation Mathematical models Modelling Neural networks NN interpolation-extrapolation Optimization P-waves Physics PINNs Seismic waves Training Travel time traveltime modeling Velocity Viscosity
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