Results 131 to 140 of about 36,146 (279)

A random projection method for sharp phase boundaries in lattice Boltzmann simulations [PDF]

open access: yes, 2010
Existing lattice Boltzmann models that have been designed to recover a macroscopic description of immiscible liquids are only able to make predictions that are quantitatively correct when the interface that exists between the fluids is smeared over ...
Dellar, P. J., Reis, T.
core  

Tailoring Thermophysical Properties and Multiscale Machine Learning Modeling of 2D Nanomaterial‐Infused Beeswax as a Green NePCM for Sustainable Thermal Management Systems

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study develops eco‐friendly two‐dimensional nanoparticle‐enhanced phase change materials (2D NePCMs) using biodegradable beeswax infused with rGO, GO, and MXene nanoparticles. Experimental results demonstrated up to 21.9% enhancement in thermal conductivity with minimal latent heat loss, while machine learning models achieved >95% predictive ...
Abdullah Aziz   +3 more
wiley   +1 more source

Machine learning‐based prediction of elevated N terminal pro brain natriuretic peptide among US general population

open access: yesESC Heart Failure, Volume 12, Issue 2, Page 859-868, April 2025.
Abstract Aims Natriuretic peptide‐based pre‐heart failure screening has been proposed in recent guidelines. However, an effective strategy to identify screening targets from the general population, more than half of which are at risk for heart failure or pre‐heart failure, has not been well established.
Yuichiro Mori   +5 more
wiley   +1 more source

Critical Review on the Molecular Behavior of Surfactants at the Oil–Water Interface During Oil Displacement

open access: yesEnergy Science &Engineering, EarlyView.
This review systematically explores the molecular behavior of diverse surfactants (anionic, cationic, nonionic, amphoteric) at the oil–water interface through molecular dynamics simulations. It highlights their roles in reducing interfacial tension, altering interfacial structure, and enhancing oil recovery efficiency.
Zhaowei Hou   +10 more
wiley   +1 more source

Boundary Layer Meshing and Wall Functions Selection for Numerical Simulation of Solid–Liquid Two‐Phase Flow

open access: yesEnergy Science &Engineering, EarlyView.
This figure illustrates the optimal near‐wall treatment schemes (first‐layer height and wall function type) for solid–liquid two‐phase CFD of suspended sediment, which are correlated with particle size and flow velocity. ABSTRACT Near‐wall treatment (boundary‐layer meshing and wall functions) is a major uncertainty in solid–liquid two‐phase CFD of ...
Zichao Zhang   +4 more
wiley   +1 more source

Recent Advances in Conjugated Microporous Polymers for Photocatalysis: Mechanism, Synthesis and Applications

open access: yesExploration, EarlyView.
Conjugated microporous polymers (CMPs) have attracted more and more attention as new photocatalysts due to their unique advantages such as high performance, long stability and strong light absorption. This review summarizes the application of CMPs as a photocatalyst in recent years and introduces the catalytic mechanism.
Dun Zhou   +5 more
wiley   +1 more source

Carbon Redox Chemistry

open access: yesGeophysical Monograph Series, Page 67-75., 2020

This book is Open Access. A digital copy can be downloaded for free from Wiley Online Library.

Explores the behavior of carbon in minerals, melts, and fluids under extreme conditions

Carbon trapped in diamonds and carbonate-bearing rocks in subduction zones are examples of the continuing exchange of substantial carbon ...
Choong‐Shik Yoo
wiley  

+1 more source

Harnessing deep learning to quantify microstructural complexity in confocal images of plant protein gels

open access: yesFood Biomacromolecules, EarlyView.
Abstract Understanding plant protein gel microstructure is key to designing functional food systems. This study introduces a deep learning framework using a U‐Net model with a ResNet34 encoder to segment and quantify confocal laser scanning microscopy (CLSM) images of plant protein gels.
Zhi Yang
wiley   +1 more source

Downdraft Devices for Negative Emissions—Quantification Study and Environmental Implication

open access: yesGreenhouse Gases: Science and Technology, EarlyView.
ABSTRACT Methane (CH4) is a potent greenhouse gas with a global warming potential far exceeding that of CO2 over short time horizons. Its removal from the atmosphere remains challenging due to its low ambient concentration and chemical stability. This study explores downdraft energy towers (DETs) as an innovative CH4 mitigation technology that enhances
Xiaokun Yao   +4 more
wiley   +1 more source

Evidence From Microscopy and U–Pb Geochronology as a Clue to the Influence of the Cretaceous Magmatism in the Diagenesis of Pre‐Salt Carbonate Reservoirs in the Santos Basin (Brazil)

open access: yesGeological Journal, EarlyView.
Carbonates from Santos Basin revealed U–Pb ages correlated with basalt ages (A), suggesting that they were formed during magmatic events. These events placed hot CO2 in the reservoir, which, when mixed with carbonate‐rich cold water (B), led to thermal convection, enabling the formation of the U contained in the carbonates.
Marco António Ruivo de Castro e Brito   +8 more
wiley   +1 more source

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