We present a novel eikonal tomography approach using physics‐informed neural networks
(PINNs) for Rayleigh wave phase velocities based on the eikonal equation. The PINN …

Reliable dispersion measurement between two seismic stations is an essential basis of
surface wave imaging. Noise source directivity has become an inescapable obstacle and a …

The proliferation of large seismic arrays have opened many new avenues of geophysical
research; however, most techniques still fundamentally treat regional and global scale …

Full waveform inversion (FWI) is a seismic imaging method with a unified mathematical
framework based on wave equation constraints. The FWI method can be used to generate a …

This study aims to take the advantage of ambient noise recordings rich in low-frequency
components for deep site characterization. We investigate the capabilities of a recently …

Seismic methods are often used for detection of precollapsed sinkholes (voids) under
roadways for remediation to minimize risks to the safety of the traveling public. Although …

Full-waveform inversion (FWI) has emerged as a powerful technique to obtain high-
resolution subsurface elastic properties. However, several complicating features, including …

Over the last decade, the expansion and densification of broadband seismic networks has
led to an increased interest in tomographic approaches based on gradiometry, which relies …

Full waveform inversion (FWI) is beginning to be used to characterize weak seismic events
at different scales, an example of which is microseismic event (MSE) characterization …

Seismic interferometry (SI) is a technique that allows one to estimate the wavefields
accounting for the wave propagation between seismometers, any of which can act as a …