Results 201 to 210 of about 62,616 (302)

A Database of Low‐Temperature Thermochronology in East Asia

open access: yesGeoscience Data Journal, Volume 13, Issue 2, April 2026.
Spatial distribution of low‐temperature thermochronology samples in East Asia. ABSTRACT The low closure temperature of the dating system in low‐temperature thermochronology allows shallow crustal movements to be recorded. In recent decades, this approach has been used extensively in studies of orogenic belt exhumation, sedimentary basin evolution, and ...
Chenghao Liu, Shaofeng Liu, Bo Zhang
wiley   +1 more source

Edge‐Fluorinated Flower‐Like Porous Graphene Microspheres With Enlarged Interlayer Spacing for High‐Performance Potassium‐Ion Batteries

open access: yesRare Metals, Volume 45, Issue 4, April 2026.
ABSTRACT The utilization of carbonaceous anodes in electrochemical systems, particularly potassium‐ion batteries (PIBs), remains hindered by sluggish kinetics and modest capacities, which are caused by the intrinsic ion storage mechanisms and constrained interlayer spacings.
HaiSong Chen   +7 more
wiley   +1 more source

Helium isotope anomaly in groundwater prior to the 2024 Noto Peninsula earthquake. [PDF]

open access: yesNat Commun
Kagoshima T   +8 more
europepmc   +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

GeoFWI: A Large Velocity Model Data Set for Benchmarking Full Waveform Inversion Using Deep Learning

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Full waveform inversion (FWI) plays an increasingly important role in the field of seismic imaging due to its strong ability to estimate subsurface properties. Specifically, data‐driven FWI (DDFWI) establishes a straightforward mapping relationship between seismic data and the corresponding velocity model, yielding promising results.
Chao Li   +5 more
wiley   +1 more source

Rethinking Collinearity in Self‐Organizing Maps: Evidence From Geophysical Data Classification

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract This study examines the impact of collinearity on unsupervised machine learning algorithms (UMLAs), specifically Self‐Organizing Maps (SOMs), for detecting lithological boundaries in geophysical data. Using a multi‐scale experimental framework that includes bivariate isotropic clusters, geologically complex Noddy simulations, and real‐world ...
Limin Xu   +2 more
wiley   +1 more source

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