Achievements and prospects of global broadband seismographic networks after 30 years of continuous geophysical observations
Global seismographic networks (GSNs) emerged during the late nineteenth and early
twentieth centuries, facilitated by seminal international developments in theory, technology …
twentieth centuries, facilitated by seminal international developments in theory, technology …
Seismic wavefield imaging of Earth's interior across scales
J Tromp - Nature Reviews Earth & Environment, 2020 - nature.com
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 …
1970s. Its ultimate goal is to use all of the information in a seismogram to understand the …
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
Recently, physics-informed neural networks (PINNs) have offered a powerful new paradigm
for solving problems relating to differential equations. Compared to classical numerical …
for solving problems relating to differential equations. Compared to classical numerical …
[HTML][HTML] Devito (v3. 1.0): an embedded domain-specific language for finite differences and geophysical exploration
We introduce Devito, a new domain-specific language for implementing high-performance
finite-difference partial differential equation solvers. The motivating application is exploration …
finite-difference partial differential equation solvers. The motivating application is exploration …
[BOOK][B] Ultrasonics: fundamentals, technologies, and applications
D Ensminger, LJ Bond - 2024 - books.google.com
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 …
the fourth edition of this best-selling industry and research reference covers the fundamental …
Global mantle structure from multifrequency tomography using P, PP and P-diffracted waves
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 …
in the upper two thirds of the mantle, whereas core-diffracted waves (Pdiff) constrain the …
[HTML][HTML] Deep learning for fast simulation of seismic waves in complex media
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 …
methods such as finite difference (FD) modelling and spectral element methods (SEMs) are …
Learning the dynamics of physical systems from sparse observations with finite element networks
We propose a new method for spatio-temporal forecasting on arbitrarily distributed points.
Assuming that the observed system follows an unknown partial differential equation, we …
Assuming that the observed system follows an unknown partial differential equation, we …
Joint inversion of geophysical data for geologic carbon sequestration monitoring: A differentiable physics‐informed neural network model
Geophysical monitoring of geologic carbon sequestration is critical for risk assessment
during and after carbon dioxide (CO2) injection. Integration of multiple geophysical …
during and after carbon dioxide (CO2) injection. Integration of multiple geophysical …
High resolution 3D ultrasonic breast imaging by time-domain full waveform inversion
Ultrasound tomography (UST) scanners allow quantitative images of the human breast's
acoustic properties to be derived with potential applications in screening, diagnosis and …
acoustic properties to be derived with potential applications in screening, diagnosis and …