CORDIS Project
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This project develops a machine learning approach using Physics Informed Neural Networks to predict seismic wave propagation in 3D viscoelastic media. By significantly reducing computation time, it aims to enhance seismic hazard assessments, particularly for regions like Southern California, making the technology appli…
In regions of high seismicity, it is essential for society to understand the associated seismic hazard.
A cornerstone of seismic hazard assessment is the ability to predict what kind of ground shaking occurs from a particular type of source at some given location; however, given the immense expense of full 3D viscoelastic seismic wavefield simulations, researchers typically rely on empirical relations that do not capture the path effects of wave propagation, which can significantly increase grou…
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
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