Seismic full-waveform inversion (FWI) for imaging Earth's interior was introduced in the late
1970s. Its ultimate goal is to use all of the information in a seismogram to understand the …

Global seismographic networks (GSNs) emerged during the late nineteenth and early
twentieth centuries, facilitated by seminal international developments in theory, technology …

Recently, physics-informed neural networks (PINNs) have offered a powerful new paradigm
for solving problems relating to differential equations. Compared to classical numerical …

We introduce Devito, a new domain-specific language for implementing high-performance
finite-difference partial differential equation solvers. The motivating application is exploration …

Updated, revised, and restructured to reflect the latest advances in science and applications,
the fourth edition of this best-selling industry and research reference covers the fundamental …

In global-scale seismic tomography, teleseismic P and PP waves mainly constrain structures
in the upper two thirds of the mantle, whereas core-diffracted waves (Pdiff) constrain the …

Geophysical monitoring of geologic carbon sequestration is critical for risk assessment
during and after carbon dioxide (CO2) injection. Integration of multiple geophysical …

Given the recent developments in machine-learning technology, its application has rapidly
progressed in various fields of earthquake seismology, achieving great success. Here, we …

The simulation of seismic waves is a core task in many geophysical applications. Numerical
methods such as finite difference (FD) modelling and spectral element methods (SEMs) are …

Transcranial ultrasound imaging has been playing an increasingly important role in the non-
invasive treatment of brain disorders. However, the conventional mesh-based numerical …