Results 111 to 120 of about 3,752,834 (199)

Adaptive data-selection elastic full-waveform inversion

open access: yes, 2018
The multiscale inversion strategy is widely used to mitigate the cycle-skipping problem in full waveform inversion. There are many different approaches to implement the multiscale inversion and the widely used low-to-high frequency continuation is not ...
Zhang, Zhendong, Alkhalifah, Tariq Ali
core   +1 more source

CyberShake NZ: Probabilistic Seismic Hazard Analysis in New Zealand Using Physics‐Based Ground‐Motion Simulations

open access: yesEarthquake Spectra, Volume 42, Issue 4, November 2026.
This study presents the computational components and workflow developed to conduct probabilistic seismic hazard analysis (PSHA) in New Zealand (NZ) using physics‐based ground‐motion simulations, referred to as “CyberShake NZ.” Semi‐automated procedures generate multiple realizations of kinematic rupture models, create rupture‐specific velocity models ...
Brendon A. Bradley   +5 more
wiley   +1 more source

Volatile Conduits Beneath Vulcano Island (Italy) Revealed by High‐Resolution Nodal Local Earthquake Tomography During Volcanic Unrest

open access: yesGeophysical Research Letters, Volume 53, Issue 19, 16 October 2026.
Abstract Understanding shallow magmatic and hydrothermal systems at active volcanoes is essential for interpreting unrest and forecasting eruptions. We present the first high‐resolution three‐dimensional Vp $Vp$, Vs $Vs$, and Vp/Vs $Vp/Vs$ models of Vulcano Island, Aeolian Islands, Italy, derived from a dense nodal seismic network.
Iván Cabrera‐Pérez   +6 more
wiley   +1 more source

Source process of the 2021 MW6.6 outer rise earthquake off the west coast of northern Sumatra

open access: yes地球与行星物理论评
The complexity of the seismicity pattern for the subduction zone along the oceanic plate triggered the outer rise events and revealed cyclic tectonic deformation conditions along the plate subduction zones.
Adi Wibowo Bagus   +7 more
doaj   +1 more source

Estimating the critical angle of top near‐surface layers on the Moon

open access: yesNear Surface Geophysics, Volume 24, Issue 5, Page 693-704, October 2026.
Abstract Near‐surface characterization of the lunar subsurface is essential for future exploration and infrastructure development, particularly for the construction of underground habitats that provide protection against radiation and micrometeorites. However, conventional seismic approaches for estimating subsurface properties typically rely on prior ...
Nelson Ricardo Coelho Flores Zuniga   +1 more
wiley   +1 more source

Elastic full-waveform inversion for surface topography

open access: yes, 2017
Elastic full-waveform inversion (EFWI) attempts to find high-resolution model parameters that are able to match observed data exactly by minimizing residuals between the observed and predicted data.
Zhe Guan   +4 more
core   +1 more source

Automatic Differentiation‐Based Full Waveform Inversion With Flexible Workflows

open access: yesJournal of Geophysical Research: Machine Learning and Computation
Full waveform inversion (FWI) is able to construct high‐resolution subsurface models by iteratively minimizing discrepancies between observed and simulated seismic data.
Feng Liu   +3 more
doaj   +1 more source

Simulator‐Based Bayesian Inference of Enhanced Geothermal Reservoir Properties

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Inversions of dynamic multi‐scale multi‐physics subsurface system properties rely on the effective sampling of high‐dimensional parameter spaces and are thus notoriously difficult to perform. The associated models are defined by complex nonlinear relationships with potentially stochastic components, which lead to analytically intractable ...
Kwabena Atobra   +5 more
wiley   +1 more source

Physics‐Constrained Variational Autoencoder for Uncertainty Quantification of Full Waveform Inversion

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract We propose a variational autoencoder framework to directly assess uncertainties in subsurface models produced by single‐ and multiparameter full waveform inversion (FWI). The new method does not require pretraining on labeled data, thus it significantly reduces computational cost and storage requirements.
Abdelrahman Elmeliegy   +4 more
wiley   +1 more source

Deep Network Reparameterized Full‐Waveform Inversion From Sequential to Simultaneous Sources With Adjoint‐State Method

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Full‐waveform inversion (FWI) relies on sequential‐source (SQ) workflows for high imaging precision, while simultaneous‐source (SML) encoding drastically accelerates computation but introduces irreversible wavenumber discontinuity artifacts in hybrid‐domain implementations.
Jinwei Fang   +4 more
wiley   +1 more source

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