Results 151 to 160 of about 48,799 (310)

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

A fast on-board integrated battery charger for four-motor EVs [PDF]

open access: yes
A novel type of fast on-board battery charger, applicable for four-motor electric vehicles (EVs), is presented in the paper. The charger consists exclusively of components that are already present on-board the vehicle.
Jones, M, Levi, E, Subotic, I
core   +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

Interface Engineering in Solid‐State Sodium Batteries: Advances in Materials Design, Interfacial Strategies, and Multiscale Characterization

open access: yesInterdisciplinary Materials, EarlyView.
Since solid‐state sodium batteries (SSSBs) are a promising solution for advancing sodium‐based energy storage, it is necessary to systematically summarize the development process of SSSBs. It focuses on the role of interface engineering in addressing challenges such as materials design, interfacial strategies, and multiscale characterization.
Yonghuan Fu, Guosheng Shao, Yong Lei
wiley   +1 more source

Optical Coherence Tomography for High‐Precision Industrial Inspection in Industry 4.0: Advances, Challenges, and Future Trends

open access: yesLaser &Photonics Reviews, EarlyView.
This review examines how optical coherence tomography transforms industrial inspection by delivering real‐time, micrometer‐resolution, depth‐resolved imaging. It surveys applications across display manufacturing, thin films, microelectronics, laser processing, and coatings, evaluates performance against conventional techniques, and highlights emerging ...
Nipun Shantha Kahatapitiya   +7 more
wiley   +1 more source

Investigation of Corrosion Behavior of Carbide Phase Strengthened Nickel‐Based Alloy in Molten Fluoride Salt

open access: yesMaterials and Corrosion, EarlyView.
Molten fluoride salt‐cooled reactors are being considered as the next generation nuclear reactors because they provide a number of benefits over current light water reactors, including enhanced safety. This work aims to develop an understanding of corrosion of structural alloys in molten fluoride salts for successful implementation of these reactors ...
Ryan Gordon   +8 more
wiley   +1 more source

Advancing Severe Plastic Deformation for Tubular Samples: Systematic Review and Machine Learning Optimization

open access: yesMetalMat, EarlyView.
This review highlights recent advancements in Severe Plastic Deformation (SPD) techniques tailored for tubular samples. The mechanisms of processing are critically discussed with emphasis on microstructural control and the governing process parameters that enable refinement to ultrafine‐ and nano‐grained structures. Comparative insights into equivalent
Eman M. Zayed   +5 more
wiley   +1 more source

Experimental investigation and ANN modelling on CO2 hydrate kinetics in multiphase pipeline systems. [PDF]

open access: yesSci Rep, 2022
Shaik NB   +4 more
europepmc   +1 more source

Reduced‐Order Modeling of Energetic Materials Using Physics‐Aware Recurrent Convolutional Neural Networks in a Latent Space (LatentPARC)

open access: yesPropellants, Explosives, Pyrotechnics, EarlyView.
Physics‐Aware Recurrent Convolutional Neural Networks (PARC) can reliably learn the thermomechanics of energetic materials as a function of morphology. This work introduces LatentPARC, which accelerates PARC by modeling the dynamics in a low‐dimensional latent space.
Zoë J. Gray   +5 more
wiley   +1 more source

Radiogenomics: Current Understandings and Future Perspectives. [PDF]

open access: yesMedComm (2020)
Radiogenomics links imaging phenotypes with genetic variations, offering potential for comprehensive understanding, cost‐effective diagnosis, and prognosis prediction to advance personalized medicine. However, its clinical application remains limited by several challenges.
Zhang X   +8 more
europepmc   +2 more sources

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