Results 41 to 50 of about 5,551 (175)

Using physics‐informed neural networks to quantify submarine groundwater discharge under high‐frequency tidal dynamics using heat as a tracer

open access: yesLimnology and Oceanography: Methods, Volume 24, Issue 2, February 2026.
Abstract Estimating exchange rates of submarine groundwater discharge (SGD) at high temporal resolution over extended periods remains challenging, particularly when using heat as a tracer in highly dynamic environments such as tidal systems. Currently available heat transport models struggle to accurately quantify SGD exchange rates in these settings ...
S. Frei   +3 more
wiley   +1 more source

Quantifying Vein Network Permeability in Dehydrated Serpentinites Using Thermodynamics and Generative AI

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 2, February 2026.
Abstract Fluids released from subducting hydrated rocks influence volcanism, tectonics, and geochemical cycling, but the mechanisms of fluid escape in subduction zones remain poorly understood. We address this issue by investigating the Erro‐Tobbio meta‐serpentinites (ET‐MS), Italy, exhumed serpentinite rocks that preserve extensive dehydration vein ...
Austin Arias   +5 more
wiley   +1 more source

An integrated social–ecological–evolutionary–phenotypic (SEEP) approach to understanding animal responses to urbanization

open access: yesBiological Reviews, Volume 101, Issue 1, Page 419-436, February 2026.
ABSTRACT Humans play key roles in shaping the structure and processes of ecosystems globally, especially in cities. This recognition has prompted a recent focus on understanding urban systems via interactions between human social systems and ecological and evolutionary processes.
Kevin E. McCluney   +9 more
wiley   +1 more source

Engineering Catalysts at the Multiscale: Past, Present, and Future of Catalyst Manufacturing and Shaping Processes

open access: yesChemCatChem, Volume 18, Issue 1, 15 January 2026.
The image illustrates the journey of catalyst engineering across scales, emphasizing the design, shaping, and manufacturing of technical catalysts. It highlights how hierarchical structuring bridges properties and process innovation, showcasing the continuum between fundamental science and industrial practice that defines modern catalyst engineering ...
Ali M. Alkadhem   +6 more
wiley   +1 more source

Experimental and numerical analysis of air trapping in a porous medium with coarse textured inclusions [PDF]

open access: yes, 2016
The paper presents a 2D upward infiltration experiment performed on a model porous medium consisting of fine sand background with two inclusions made of coarser sands.
Helmig, Rainer   +5 more
core   +2 more sources

Unified Permeability Modeling for Transitional Darcy/Non‐Darcy Flow Based on 3D Pore‐Level Numerical Flow Tests

open access: yesInternational Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 1, Page 162-177, January 2026.
ABSTRACT This study presents a unified representation of the seepage characteristics of virtual soil, such as the transition zone from low‐velocity Darcy flow to high‐velocity non‐Darcy flow, by conducting 3D pore‐level fluid simulations. The process of defining a virtual test region as a representative volume element (RVE) and then assessing the ...
Reika Nomura   +4 more
wiley   +1 more source

A Decadal Survey of the Near‐Surface Seismic Velocity Response to Hydrological Variations in Utah, United States

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 1, January 2026.
Abstract Ongoing climate change is leading to an increase in prolonged droughts and severe weather events, which are particularly pronounced in semi‐arid regions, such as the western United States. These extremes could have lasting social and environmental impacts.
Kuan‐Fu Feng   +3 more
wiley   +1 more source

Interval Prediction Model for Seepage Flow in Earth–Rock Dams Based on Time Series Characteristics

open access: yesStructural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
To address challenges posed by insufficient feature extraction, difficulties in capturing complex patterns, limited prediction accuracy, and unquantified uncertainty inherent in traditional point prediction models for complex time series data, this study proposes a novel interval prediction framework based on temporal convolutional network (TCN ...
Shiyong Yang   +5 more
wiley   +1 more source

Multiscale nonlocal flow in a fractured porous medium

open access: yes, 2014
We study the flow generated by an incompressible viscoelastic fluid in a fractured porous medium. The model consists of a fluid flow governed by Stokes-Volterra equations evolving in a periodic double-porosity medium.
Woukeng, Jean Louis
core   +1 more source

Effects of Clay Content on Non-Linear Seepage Behaviors in the Sand–Clay Porous Media Based on Low-Field Nuclear Magnetic Resonance

open access: yesWater
Clay is widely encountered in nature and directly influences seepage behaviors, exerting a crucial impact on engineering applications. Under low hydraulic gradients, seepage behaviors have been observed to deviate from Darcy’s law, displaying a non ...
Yu Yin   +6 more
semanticscholar   +1 more source

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