Results 91 to 100 of about 16,809 (204)

Seismic tomography of the Gulf of Corinth: a comparison of methods

open access: yesAnnals of Geophysics, 1997
At a local scale, travel-time tomography requires a simultaneous inversion of earthquake positions and velocity structure. We applied a joint iterative inversion scheme where medium parameters and hypocenter parameters were inverted simultaneously.
P. Podvin, J. Virieux, E. Le Meur
doaj   +1 more source

Boundary conditions in the QCD nucleus-nucleus scattering problem

open access: yes, 2007
In the framework of the effective field theory for interacting BFKL pomerons, applied to nucleus-nucleus scattering, boundary conditions for the classical field equations are discussed.
Albacete   +43 more
core   +2 more sources

Three‐Dimensional Crustal Deformation Analysis Using Physics‐Informed Deep Learning

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 4, April 2026.
Abstract Earthquake‐related phenomena such as seismic waves and crustal deformation impact broad regions, requiring large‐scale 3‐D modeling with careful treatment of the boundaries of the model domain. A deep learning approach known as physics‐informed neural networks (PINNs) has potential for such large‐scale problems involving observational data ...
Tomohisa Okazaki   +5 more
wiley   +1 more source

Frozen Fronts Selection in flow against self-sustained chemical waves

open access: yes, 2016
Autocatalytic reaction fronts between two reacting species in the absence of fluid flow, propagate as solitary waves. The coupling between autocatalytic reaction front and forced hydrodynamic flow may lead to stationary front whose velocity and shape ...
Chevalier, T., Salin, D., Talon, L.
core   +1 more source

Space Correlation Constrained Physics Informed Neural Network for Seismic Tomography

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Physics‐informed neural networks (PINNs) integrate physical constraints with neural architectures and leverage their nonlinear fitting capabilities to solve complex inverse problems. Tomography serves as a classic example, aiming to reconstruct subsurface velocity models to improve seismic exploration.
Yonghao Wang   +3 more
wiley   +1 more source

3D finite-difference migration of the field of refracted waves

open access: yesГеофизический журнал, 2015
The method of 3D finite-difference migration of the field of refracted waves is proposed, which takes into account their penetration into refracting strata.
A. Verpakhovskaya   +2 more
doaj   +1 more source

Interpretation of the measurements of total, elastic and diffractive cross sections at LHC

open access: yes, 2013
Recently at LHC one has obtained measurements of the total, elastic and diffractive cross sections in pp collisions at very high energy. The total cross section is in good agreement with predictions based on a leading behavior \sigma_{tot} (s) \propto ...
Lipari, Paolo, Lusignoli, Maurizio
core   +1 more source

Fine‐Scale Segmentation and Spatiotemporal Variability of the 2010 Mw 8.8 Maule Aftershock Sequence Revealed by a Deep‐Learning‐Based Earthquake Catalog

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 4, April 2026.
Abstract We re‐examine the aftershock sequence of the Mw 8.8 Maule earthquake in south‐central Chile to understand how seismicity, magnitude‐frequency distribution, and fault structure vary along the rupture zone. Using the International Maule Aftershock Deployment (IMAD) data set, we analyze 10 months of continuous data from approximately 156 ...
Rodrigo Flores‐Allende   +5 more
wiley   +1 more source

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