Results 141 to 150 of about 36,146 (279)

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

Interdisciplinary 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

A review of the multiphase electric machines

, 2007
The electrical machines with increased number of phases m3 are destined for the equipment of the installations and apparatus that function in autonomic regime and presents a special importance for different industrial branches and electro-mechanical structures, because they have the reliability indexes and increased energetic parameters comparing to ...
Raţă, I., Todos, P.I., Nuca, I.T.
openaire   +1 more source

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

Laser &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, Sm Abu Saleah, Daewoon Seong, Naresh Kumar Ravichandran, Sangyeob Han, Ruchire Eranga Wijesinghe, Mansik Jeon, Jeehyun Kim   +7 more
wiley   +1 more source

Boosting Barlow Twins Reduced Order Modeling for Machine Learning‐Based Surrogate Models in Multiphase Flow Problems

Water Resources Research
We present an innovative approach called boosting Barlow Twins reduced order modeling (BBT‐ROM) to enhance the reliability of machine learning surrogate models for multiphase flow problems.
T. Kadeethum, V. L. S. Silva, P. Salinas, C. C. Pain, H. Yoon   +4 more
doaj   +1 more source

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

Materials 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, Kasturi Sasidhar, Ryan Thier, Rishi Pillai, Evan Willing, Adrien Couet, Jay Tiley, Steve Zinkle, Kumar Sridharan   +8 more
wiley   +1 more source

Modelling Approaches for an Asymmetrical Six-Phase Machine [PDF]

With currently available power electronic devices, the power range of a single three-phase power converter is limited well below the power ratings foreseen for remote offshore wind turbines. A solution is to use multiphase systems.
Jones, M, Levi, E, Zabaleta, M
core  

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

MetalMat, 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, Abdulrahman I. Alateyah, Waleed H. El‐Garaihy, Mahmoud Shaban, Majed Alinizzi, Nahed A. El‐Mahallawy   +5 more
wiley   +1 more source

Mineral Speciation for CO2 Captured by Potassium Hydroxide

ChemistryOpen, EarlyView.
Multimodal and deconvolution analysis of the crystalline and amorphous mineral products from the rapid capture of CO2 in aqueous, aqueous‐ethanol, and aqueous‐acetone solutions of potassium hydroxide by complementary single‐crystal and powder X‐ray diffraction, and high field 1H, 13C, and 39K NMR, provides new insight into the speciation of both KHCO3‐
Ehsan Ezzatpour Ghadim, Stephanie Bachmann, Rodrigo S. Correa, Dinu Iuga, Joanna F. Collingwood, Peter J. Sadler   +5 more
wiley   +1 more source

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

Propellants, 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, Joseph B. Choi, Youngsoo Choi, H. Keo Springer, H. S. Udaykumar, Stephen S. Baek   +5 more
wiley   +1 more source

Exploring New Chemical Paths in Quantum AI: Preliminary Accomplishments and Future Perspectives

Advanced Quantum Technologies, EarlyView.
Two new strategies derived from Chemical AI to promote the advancement of sustainable quantum technologies are presented and discussed. The first strategy relies on the chemical implementation of molecular fuzzy sets, which are quantum mixed states associated with chemical microheterogeneous systems. The second strategy relies on photochromic compounds
Pier Luigi Gentili
wiley   +1 more source