Results 181 to 190 of about 462,222 (297)
Combining supercritical CO2 (s‐CO2) cycles with particle‐based heat transfer media holds great potential in concentrated solar power plants but poses enormous material challenges. The particle/s‐CO2 heat exchanger must withstand extreme conditions, including high temperatures, pressures, CO2 corrosion, and erosion.
Mathias Christian Galetz+5 more
wiley +1 more source
A Method for Analyzing the Thermal Conduction Problems by a Dual Difference Equation
Yasushi Kawashima, Kiyoshi NISHIMOTO
openalex +2 more sources
On the Thermal Conduction in Tangled Magnetic Fields in Clusters of Galaxies [PDF]
Leonid Malyshkin
openalex +1 more source
This article provides a comprehensive overview of fundamentals and recent advances of transparent thin‐film surface acoustic wave technologies on glass substrates for monitoring and prevention/elimination of fog, ice, and frost. Fogging, icing, or frosting on optical lenses, optics/photonics, windshields, vehicle/airplane windows, and solar panel ...
Hui Ling Ong+11 more
wiley +1 more source
Analytical model of non-stationary temperature in heterogeneous reservoir
The relevance of the research. At present time the interest in quantitative interpretation of temperature surveys is growing. Individual flow rate and reservoir pressure of each layer, behind-casing flow rate, hydrodynamic layer parameters ...
Airat Shaykhullinovich Ramazanov+1 more
doaj
Thermal conduction in a chain of colliding harmonic oscillators revisited [PDF]
Mitsusada M. Sano, Kazuo Kitahara
openalex +1 more source
The MaterialDigital initiative drives the digital transformation of material science by promoting findable, accessible, interoperable, and reusable principles and enhancing data interoperability. This article explores the role of scientific workflows, highlights challenges in their adoption, and introduces the Workflow Store as a key tool for sharing ...
Simon Bekemeier+37 more
wiley +1 more source
Hyperbolic heat conduction with temperature-dependent thermal conductivity
David E. Glass+3 more
openalex +2 more sources
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi+4 more
wiley +1 more source