Results 181 to 190 of about 32,509 (276)
High-rate phase association with travel time neural fields. [PDF]
Shi C +4 more
europepmc +1 more source
BaSIC: A Bayesian Inversion Model for Basalt Source Investigation and Characterization
Abstract We present BaSIC: Basalt Source Investigation and Characterization, an open‐source Python based Bayesian inversion method to constrain the source mineralogy of basalts. Using bulk rock geochemistry, the model takes the averages and standard deviations of six elemental ratios (Mn/Fe, Zn/Fe, Mn/Zn, Sc/Zn, Co/Fe, and Ga/Sc) for a given basalt ...
E. H. Cunningham +2 more
wiley +1 more source
The hidden mysteries of our ice giant planets. [PDF]
de Villa K, Ge H.
europepmc +1 more source
Seismology Resources for Teachers
This list of reference material was prepared by the Seismological Society of America to provide teachers (primarily grades K-12) with resource information that will be of use in teaching topics related to seismology.
core
Abstract Elastically accommodated grain‐boundary sliding (EAGBS) is a plausible source of upper‐mantle seismic attenuation and dispersion, yet classical theory predicts a localized Debye‐like peak that is absent or only weakly expressed in dry olivine experiments. Here we test whether microstructural heterogeneity can explain this discrepancy using 2‐D
Zhengxuan Li, John F. Rudge
wiley +1 more source
Publisher Correction: Machine learning predicts meter-scale laboratory earthquakes. [PDF]
Norisugi R, Kaneko Y, Rouet-Leduc B.
europepmc +1 more source
Abstract Reliable estimates of seismic source size on Mars are critical for interpreting tectonic activity and impact processes, constraining the planet's interior evolution, and informing the design of future Martian seismic experiments. However, because InSight observations are limited to a single station, magnitude estimates cannot rely on empirical
Jung‐Hun Song +4 more
wiley +1 more source
Occurrence of major earthquakes is as stochastic as smaller ones. [PDF]
Ghazoui Z +5 more
europepmc +1 more source
Earthquake Seismogram Denoising Across Time, Time‐Frequency, and Hybrid Domain Approaches
Abstract Deep learning earthquake signal denoisers commonly operate directly on waveform data or on time‐frequency representations, yet the impact of this design choice has not been systematically assessed under controlled conditions. Here we design and benchmark four comparable deep learning architectures to assess the effect of input data ...
Nikolaj L. Dahmen
wiley +1 more source
Viscous and thermal effects on wave propagation in a micropolar viscothermoelastic medium with impedance considerations. [PDF]
Adel M +5 more
europepmc +1 more source

