Results 151 to 160 of about 52,623 (273)

Statistical framework for condensation frosting incipience on smooth and nanostructured surfaces

Droplet, Volume 5, Issue 2, April 2026.
A statistical framework for frost incipience that considers the effect of surface wettability and captures the stochastic nature of both nucleation dynamics for condensation and droplet growth during the subsequent freezing process. Abstract Frost and ice formation on a solid surface is governed by nanoscale liquid‒solid intermolecular interactions ...
Jiazheng Liu, Parsa Faghihi, Wenhao Yang, Siyan Yang, Vishwanath Ganesan, Omkar Gandhi, Jiayi Zhang, Wentao Yang, Nenad Miljkovic   +8 more
wiley   +1 more source

Numerical and Intelligent Modeling of MHD Casson Nanofluid Heat Transfer in Fractal Porous Cavities for Energy Systems

Engineering Reports, Volume 8, Issue 4, April 2026.
This study demonstrates that Al2O3–GNP hybrid nanofluids significantly enhance heat transfer in porous rectangular enclosures. Magnetic fields suppress velocity but raise temperature, while higher Biot and Brinkman numbers improve Nusselt number and entropy generation, highlighting effective thermal control in non‐Newtonian HNF systems.
Wajid Ullah, Muhammad Salim Khan, Zahir Shah, Aseel Smerat, Meshal Shutaywi   +4 more
wiley   +1 more source

Application of High‐Order Direct Flux Reconstruction and Stiffness‐Resilient Time Integration to Simulations of Idealized Atmospheric Flows

International Journal for Numerical Methods in Fluids, Volume 98, Issue 4, Page 448-468, April 2026.
The proposed work implements a direct flux reconstruction method for spatial discretization and a stiffness‐resilient exponential time integration method for temporal discretization on the cube‐sphere grid. A space‐time tensor formalism is employed to provide a general representation in any curvilinear coordinate system. This combination enables highly
Stéphane Gaudreault, Christopher Subich, Shoyon Panday, Martin Charron, Vincent Magnoux, Valentin Dallerit, Mayya Tokman   +6 more
wiley   +1 more source

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

Laser &Photonics Reviews, Volume 20, Issue 8, 17 April 2026.
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

Bayesian estimation under different loss functions for the case of inverse Rayleigh distribution

Kuwait Journal of Science
In this study, the best parameter estimator for the scale parameter (θ) of the inverse Rayleigh distribution was determined based on a comparison of the maximum likelihood estimator (MLE) method, the Bayesian generalized squared error loss function (SELF)
doaj   +1 more source

Open‐Source Simulator of Imaging Near Metal at Arbitrary Magnetic Field Strengths

Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2370-2383, April 2026.
ABSTRACT Purpose The increasing prevalence of orthopedic metallic implants necessitates optimization of MRI methods to monitor surrounding tissues and identify complications. The emergence of contemporary mid‐ and low‐field systems as promising platforms for imaging around metal requires development of new protocols optimized for these field strengths.
Kübra Keskin, Ana R. Sanson, Brian A. Hargreaves, Krishna S. Nayak   +3 more
wiley   +1 more source

Diffractive Optical Neural Networks: Pathways Toward Intelligent and Scalable Photonic Computing

Nanophotonics, Volume 15, Issue 8, 24 April 2026.
Diffractive optical neural networks (DONNs) are emerging as a transformative paradigm for photonic computing, offering massive parallelism, ultrafast inference, and passive low‐power operation. This review traces the evolution of DONNs from free‐space to on‐chip implementations, highlights advances in reconfigurability and multidimensional modulation ...
Yufei Wang, Mingheng Zhong, Kun Liao, Quan Sun, Xiaoyong Hu, Qihuang Gong   +5 more
wiley   +1 more source

Estimation of the Two Parameters for Generalized Rayleigh Distribution Function Using Simulation Technique

Ibn Al-Haitham Journal for Pure and Applied Sciences, 2017
     In this paper, suggested formula as well a conventional method for estimating the twoparameters (shape and scale) of the Generalized Rayleigh Distribution was proposed.
A. A . AL- Naqeeb, A. M . Hamed
doaj  

Inference and prediction of progressive Type-II censored data from Unit-Generalized Rayleigh distribution

, 2022
Liang Wang, Ke Wu, Xuanjia Zuo
openalex   +2 more sources

Toward Genuine Efficiency and Cluster Robustness of Preconditioned CG‐Like Eigensolvers

Numerical Linear Algebra with Applications, Volume 33, Issue 2, April 2026.
ABSTRACT The locally optimal block preconditioned conjugate gradient (LOBPCG) method is a popular solver for large and sparse Hermitian eigenvalue problems. However, recently proposed alternatives for its single‐vector version LOPCG indicate certain problematic cases with less accurate preconditioners and clustered target eigenvalues.
Ming Zhou, Klaus Neymeyr
wiley   +1 more source