Results 251 to 260 of about 172,920 (309)
This study presents an inter‐material transfer learning framework for nanofluid heat transfer prediction in energy systems. By leveraging knowledge from Al2O3‐water data, the model accurately predicts hybrid Al2O3‐TiO2 nanofluid performance with only 20 simulations, achieving R2 = 0.985 and reducing computational requirements by 78. ABSTRACT This paper
Soumaya Hadj Salah +2 more
wiley +1 more source
Influence of Structural and Environmental Parameters on Solar Air Collector Performance
Increasing air gap depth and mass flow rate significantly enhances the thermal performance of solar air collectors, with optimal performance achieved at an 8.5 cm air gap and 0.01318 kg/s mass flow rate. Air gap depth is identified as the dominant factor influencing system efficiency.
Quankun Zhu +2 more
wiley +1 more source
This review highlights non‐thermal extraction technologies for seaweed proteins, emphasizing their mechanisms, impacts on protein structure and functionality, and sustainability potential. Key limitations related to species dependence, extract complexity, and scale‐up are discussed to guide future industrial and biorefinery applications.
Rahat Mahmud +3 more
wiley +1 more source
A three‐dimensional fluid‐structure interaction (FSI) framework is developed using the geometric volume‐of‐fluid (VOF) interface capturing method and applied to assess largescale turbulent FSI interactions. The monolithic FSI framework is extensively validated, and despite the discontinuities across the interface, the FSI framework delivers stable and ...
Soham Prajapati +2 more
wiley +1 more source
Abstract Research Summary The rise of emerging market lead firms (LFs) in global value chains (GVCs) challenges the prevailing view that only multinational corporations (MNCs) from advanced economies lead systems integration, design, and innovation activities.
Yuanyuan Wu, Paola Perez‐Aleman
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Abstract Research Summary This article develops a conceptual framework for understanding multinational enterprise (MNE) resilience in the era of cascading crises. We define resilience as the MNE's capacity to absorb disruption, maintain or restore functioning, and reconfigure operations as conditions shift.
Gerard George, Chang Hoon Oh
wiley +1 more source
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Physical Review E, 2015
To generalize simple bead-linker model of swimmers to higher dimensions and to demonstrate the chemotaxis ability of such swimmers, here we introduce a low-Reynolds predator, using a two-dimensional triangular bead-spring model. Two-state linkers as mechanochemical enzymes expand as a result of interaction with particular activator substances in the ...
Mehran, Ebrahimian +2 more
openaire +2 more sources
To generalize simple bead-linker model of swimmers to higher dimensions and to demonstrate the chemotaxis ability of such swimmers, here we introduce a low-Reynolds predator, using a two-dimensional triangular bead-spring model. Two-state linkers as mechanochemical enzymes expand as a result of interaction with particular activator substances in the ...
Mehran, Ebrahimian +2 more
openaire +2 more sources
Uniqueness and the Cell Reynolds Number
SIAM Journal on Numerical Analysis, 1980Using some results from the theory of M-functions, we show how uniqueness and multiplicity of solutions for three finite-difference approximations of the steady Burgers equation are related to the cell Reynolds number.
Kellogg, R. B. +2 more
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The Oseen Drag at Infinite Reynolds Number
SIAM Journal on Applied Mathematics, 1995Summary: It is shown that the Oseen drag on an arbitrarily shaped object at infinite Reynolds number is the sum of two contributions. The first contribution is the product of the object's cross-section perpendicular to the main stream direction and \(\rho U^2\), where \(\rho\) is the constant fluid density and \(U\) the main stream velocity. The second
A. J. Weisenborn, B. I. M. ten Bosch
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