Results 81 to 90 of about 64,828 (296)
Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek+7 more
wiley +1 more source
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
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
In this paper, we have studied heat transfer process in a continuously moving fin whose thermal conductivity, heat transfer coefficient varies with temperature and surface emissivity varies with temperature and wavelength.
Surjan Singh, Dinesh Kumar, K.N. Rai
doaj +1 more source
Hot-Pressed Super-Elastic Graphene Aerogel with Bidirectional Thermal Conduction Properties as Thermal Interface Materials. [PDF]
Lv P, Zhou X, Chen S.
europepmc +1 more source
Deformation Behavior of La2O3‐Doped Copper during Equal Channel Angular Pressing
By additions of strengthening elements and/or structure optimization, the mechanical properties of copper can be increased while keeping favorable electric conductivity. By combining addition of La2O3 and processing by equal channel angular pressing, substructure development is achieved, leading to increase in microhardness to more than double the ...
Lenka Kunčická+2 more
wiley +1 more source
The Effects of Thermal Radiation, Conduction and Metoriod Heat Capacity on Meteoric Ablation [PDF]
J.C. Jones, Thomas Kaiser
openalex +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Evaluation of Physico-Mechanical Properties and Thermal Conduction to Energy-Saving Effects of Wood Compression Layered Structural Materials. [PDF]
Chen YH, Ho ST, Lin HC.
europepmc +1 more source
Discussion: “Transient Heat Conduction in a Rod of Finite Length With Variable Thermal Properties” (Chu, W. H., and Abramson, H. N., 1960, ASME J. Appl. Mech., 27, pp. 617–622) [PDF]
G. M. Dusinberre
openalex +1 more source