Results 111 to 120 of about 15,948 (253)
Open GeosciencesPhysics-informed neural networks (PINNs) have emerged as a powerful tool in the intersection of machine learning and physical sciences, offering novel approaches to solve complex differential equations inherent in geoscientific phenomena.
Habib Maan, Habib Ahed, Alibrahim Bashar
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A Review of Cloud Computing in Seismology
Seismology has entered the petabyte era, driven by decades of continuous recordings of broadband networks, the increase in nodal seismic experiments, and the recent emergence of Distributed Acoustic Sensing (DAS). This review explains how commercial clouds - AWS, Google Cloud, and Azure - by providing object storage, elastic compute, and managed ...
Ni, Yiyu +9 more
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Rates of Sea‐Level Rise Are Highly Sensitive to Ice Viscosity Parameters in Model Benchmarks
AGU Advances, Volume 7, Issue 2, April 2026.Abstract Glacier flow plays a major role in current and future rates of globally averaged sea‐level rise. The viscosity of glacial ice, controlling the rate of flow, decreases as stress increases and is highly sensitive to the value of the stress exponent, n $n$, in the constitutive equation for viscous flow.
D. F. Martin +5 more
wiley +1 more source
Earth and Space Science, Volume 13, Issue 4, April 2026.Abstract Obtaining broadband ground motion simulations consistent with observed records is essential for seismic modeling, and the key to achieving this lies in a physically reasonable source representation. Only a scientifically constrained broadband source can effectively generate broadband ground motions.
Wenjing Wang +3 more
wiley +1 more source
Pressure Dependence of Liquid Iron Viscosity From Machine‐Learning Molecular Dynamics
Geochemistry, Geophysics, Geosystems, Volume 27, Issue 4, April 2026.Abstract We have developed a machine‐learning potential that accurately models the behavior of iron under the conditions of Earth's core. By performing numerous nanosecond scale equilibrium molecular dynamics simulations, the viscosities of liquid iron for the whole outer core conditions are obtained with much less uncertainty.
Kai Luo, Xuyang Long, R. E. Cohen
wiley +1 more source
Journal of Geophysical Research: Space Physics, Volume 131, Issue 4, April 2026.Abstract International Reference Ionosphere (IRI) and the Ionosphere‐Plasmasphere (IRI‐Plas) models describe monthly median ionospheric conditions. IRI‐Plas, unlike IRI, allows one to include instantaneous Total Electron Content observations (TEC) to adjust the median predictions. The standard IRI‐Plas generates monthly medians of foF2m, hmF2m and TECm
T. L. Gulyaeva +4 more
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Experiences from CHEESE Advanced Training on HPC for Computational Seismology
, 2021 Experiences from CHEESE Advanced Training on HPC for Computational ...
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A Rate‐and‐State Friction Based Criterion for the Probability of Earthquake Fault Jumps
Journal of Geophysical Research: Solid Earth, Volume 131, Issue 4, April 2026.Abstract Geometrical complexities in natural fault zones, such as steps and gaps, pose a challenge in seismic hazard studies as they can act as obstacles to seismic ruptures. In this study, we propose a criterion, which is based on the rate‐and‐state equation, to estimate the efficiency of an earthquake rupture to jump between two spatially ...
Sylvain Michel +7 more
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Rupture mode preferences of crustal earthquakes in Japan
Earth, Planets and SpaceRupture propagation is controlled by the energy balance between the energy release rate and fracture energy, which varies according to the rupture mode.
Ritsuya Shibata, Naofumi Aso
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