Results 181 to 190 of about 368,231 (294)

Integrated geophysical, geological, and machine learning approach for structural characterization of the Balakot-Bagh fault zone associated with the 2005 Mw 7.6 Kashmir earthquake. [PDF]

Sci Rep
Noor S, Khan MY, Turab SA, Doyoro YG, Lin CP, Farooq M.   +5 more
europepmc   +1 more source

Inversion tectonics of Japanese Islands

Active Fault Research, 1996
openaire   +1 more source

A Multi‐Region Deep Learning Framework for Low‐Frequency Earthquake Detection: Application to the Guerrero Seismic Gap

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Low‐frequency earthquakes (LFEs) provide key constraints on slow earthquake processes but remain difficult to detect because of their low signal‐to‐noise ratios (SNR) and emergent onsets, particularly in offshore environments where seismic networks are sparse.
Yanhan Chen, Yoshihiro Ito
wiley   +1 more source

Geodetic Constraints on Segment-Scale Slip Rates and Interseismic Coupling Along the Havran-Balıkesir Fault Zone, NW Anatolia, Türkiye. [PDF]

Sensors (Basel)
Tiryakioğlu İ, Solak Hİ, Özkan A, Gezgin C, Eyübagil EE, Çakanşimşek Ünlükaya EB, Aladoğan K, Özkaymak Ç, Uğur MA, Yavaşoğlu HH, Yiğit CÖ, Aktuğ B, Gülal VE.   +12 more
europepmc   +1 more source

How Much Physics Should a Neural Network Know? Thermodynamics‐Informed Neural Networks for Rock Constitutive Modeling With Epistemic Uncertainty

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Machine learning offers a flexible route to constitutive modeling, with two emergent questions for geoscience applications: what level of thermodynamic constraint should be embedded in the network architecture, and how should predictive uncertainty be quantified when extrapolating from laboratory to field conditions? We address both challenges
Kangan Li, Tushar Mittal, Benjamin K. Holtzman, Seth Saltiel   +3 more
wiley   +1 more source

Aeromagnetic analysis of the shear zones of Ambaji garnulite, NW India: implications for base-metal mineralization. [PDF]

Sci Rep
Seshu D, Kumar VP, Rao GS, Satyanarayana HVS, Kumar P.   +4 more
europepmc   +1 more source

Adapting a Pretrained LLM to Rapidly Recover Earthquake Magnitude and Location

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Determining earthquake magnitude and location through fast, automated methods is fundamental for seismic monitoring. Recent studies have shown that Large Language Models (LLMs) can operate as pattern‐recognition systems capable of handling novel domains and purely numerical tasks.
Aurora Bassani, Daniele Trappolini, Giulio Poggiali, Elisa Tinti, Fabio Galasso, Alberto Michelini, Chris Marone   +6 more
wiley   +1 more source

Extension of Tian Shan along a nascent shear zone. [PDF]

Nat Commun
Ou Q, Elliott JR, Maghsoudi Y, Rollins C, Lazecky M, Wright TJ.   +5 more
europepmc   +1 more source

Active Normal Fault Segmentation and Linkage in the Umbria‐Marche Apennines (Italy): Insights From 3D Structural Modeling

Tectonics, Volume 45, Issue 10, October 2026.
Abstract Normal‐fault growth, segmentation, and their relationships with crustal inheritance and rheological layering are investigated in a post‐thrusting setting of the southern sector of the Northern Apennines. We integrate 3D modeling with gravity, thermal, and seismological constraints to reconstruct the geometry and evolution of the main normal ...
M. Pedini, F. Cella, C. Di Celma, S. Mazzoli, P. P. Pierantoni, N. A. Pino, T. Volatili, E. Tondi, M. Zambrano   +8 more
wiley   +1 more source

Waned mantle upwelling contributes to a heavily deformed northern smooth plains on Mercury. [PDF]

Nat Commun
Xie J, Zhan Y, Gong S, Huang C, Zhang J.
europepmc   +1 more source