Results 191 to 200 of about 9,107 (262)

Super‐Resolution of Planetary Images Based on Generative Adversarial Network

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Currently, satellite imagery serves as the primary means of observing terrestrial planets such as the Mars, the Moon, and Mercury. Enhancing the resolution and quality of these images can provide more detailed insights into planetary surfaces. However, improvements in image quality are often limited by the constraints of sensor technology and ...
Xiaoran Zhang, Yiran Wang, Miao Zhuo
wiley   +1 more source

Surrogate‐Assisted Bayesian Inference of Fracture Network Parameters From Elastic Waves: A Sensitivity‐Guided Approach

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract We develop a sensitivity‐guided, surrogate‐assisted Bayesian framework to infer fracture network parameters from elastic waves. Synthetic fracture networks characterized by power‐law length exponent a $a$, fracture density d $d$, and percolation parameter p $p$ are constructed.
Le Zhang   +4 more
wiley   +1 more source

Statistical Model of Subsurface Scattering Bias in ICESat‐2's ATL06 Product

open access: yesEarth and Space Science, Volume 13, Issue 8, August 2026.
Abstract ICESat‐2 uses visible laser pulses and photon‐counting detectors to range the Earth's surface, providing precision altimetry for measuring ice sheet elevation change. However, since water ice is transparent to visible light, the photon returns recorded by ICESat‐2's ATLAS instrument may originate from subsurface scattering inside the snow or ...
Thilini Bamunu Arachchige   +3 more
wiley   +1 more source

Attention and Geological Knowledge Guided Spectral‐Spatial Networks for Geochemical Anomalies Recognition

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Achieving both accuracy and interpretability in deep learning models for geochemical anomaly recognition constitutes a significant challenge. To overcome this challenge, this study developed a novel interpretable dual‐branch network combining a spectral attention bidirectional RNN (BiRNN) branch and a spatial attention CNN branch guided with ...
Yihui Xiong   +4 more
wiley   +1 more source

Effect of Flow Dynamics on Two‐Phase Flow Patterns in Porous Media

open access: yesWater Resources Research, Volume 62, Issue 8, August 2026.
Abstract This study investigates the impact of flow dynamics on liquid‐gas two‐phase flow patterns within a two‐dimensional millifluidic porous medium. Based on high‐fidelity analysis of experimental images and simplified single‐phase flow pore network models (PNM), we examine co‐injection two‐phase flow configurations across varying injection rates ...
Ilan Ben‐Noah   +4 more
wiley   +1 more source

Incorporating coherent multiple scattering into modelling of small‐q scattering data

open access: yesJournal of Applied Crystallography, Volume 59, Issue 4, Page 1327-1331, August 2026.
A new example for coherent multiple scattering is presented that confirms the Teubner–Strey model with its surface scattering for porous materials.In a recent paper [Frielinghaus & Gommes (2025), J. Appl. Cryst.58, 1553–1570] the appearance of coherent multiple scattering was discussed, whereby surface scattering takes over against the classical bulk ...
Henrich Frielinghaus
wiley   +1 more source

Dynamic yet well-defined organization of the FUS RGG3 dense phase. [PDF]

open access: yesCommun Chem
Polyansky AA   +2 more
europepmc   +1 more source

A small‐angle scattering model for broad correlation peaks and small diffuse scattering

open access: yesJournal of Applied Crystallography, Volume 59, Issue 4, Page 1319-1326, August 2026.
For porous and/or bicontinous structures with rather broad correlation peaks and small diffuse scattering, a heuristic theory makes the connection to conditions of material production.Porous and/or bicontinuous structures often display a pronounced correlation peak in their small‐angle scattering that indicates a preferred domain spacing d.
Henrich Frielinghaus
wiley   +1 more source

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