Results 221 to 230 of about 168,552 (354)

The Role of Basal Roughness and Assemblage Grain‐Size Distribution in Shaping Granular Rheology and Basal‐Force Signals

open access: yesJournal of Geophysical Research: Earth Surface, Volume 131, Issue 2, February 2026.
Abstract We present idealized 3‐D discrete element simulations exploring how varying boundary roughness and grain‐size distribution affect bulk granular‐rheology and basal‐force distributions. Boundary roughness has a direct control on the internal static friction coefficient.
P. Zrelak, E. C. P. Breard, J. Dufek
wiley   +1 more source

Feasibility study of an integrated earthquake and tsunami early warning system. [PDF]

open access: yesSci Rep
Rea R   +9 more
europepmc   +1 more source

Testing Audio Compression Autoencoders for Seismology: Moving Toward Foundation Models

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Efforts to develop foundation models (FMs) for seismic waveform analysis are beginning to advance with progress still needed for geophysics applications. FMs learn a generalized representation of the data using a self‐supervised approach, thus allowing several downstream tasks to be performed in a unified framework.
Laura Laurenti   +5 more
wiley   +1 more source

Continental scale geographic analysis of hospital exposure to natural hazards in the Americas. [PDF]

open access: yesSci Rep
Hernandez L   +9 more
europepmc   +1 more source

Experimental Verification of a Two‐Dimensional Inverse Method for Turbidity Currents Using a Deep Neural Network

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Turbidites have been widely studied as indicators of the occurrences and magnitudes of paleo‐tsunamis and paleo‐earthquakes. Inversion to estimate flow conditions from turbidites offers valuable insights into the magnitudes of paleo‐seismic and tsunami events.
Seiya Fujishima, Hajime Naruse
wiley   +1 more source

SeismoQuakeGNN: a hybrid framework for spatio-temporal earthquake prediction with transformer-enhanced models. [PDF]

open access: yesFront Artif Intell
Leema A   +5 more
europepmc   +1 more source

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