Results 151 to 160 of about 217,155 (332)
This study develops a tissue‐engineered model of the atherosclerotic cap using human mesenchymal stromal cells (MSCs). After 2 weeks of culture to produce a collagenous matrix, a mineralizing medium induces microcalcifications over 4 weeks. These constructs, imaged with second harmonic generation microscopy, lead to reduced ultimate stress at rupture ...
Imke L. Jansen+4 more
wiley +1 more source
Simulation of Inhomogeneous Refractive Index Fields Induced by Hot Tailored Forming Components
This article presents a simulation model for simulating inhomogeneous refractive index fields (IRIF) in hot‐forged components, accounting for thermal influences and complex geometries. Through this simulation, a priori knowledge about the propagation of the IRIF can be obtained, allowing for the positioning of the component or an optical measurement ...
Pascal Kern+3 more
wiley +1 more source
Echelon Modifications of Vector Bundles
We study a filtered generalization of the operation of elementary modification of vector bundles. The generalization is motivated by applications to the degeneration theory of linear systems.
openaire +3 more sources
Incorporating nanosized silver into titanium for antimicrobial materials exploits the metastable miscibility gap between silver and titanium. Silver nanoparticles are synthesized via pulsed laser ablation in liquid. Silver addition refines the microstructure, increases hardness by 30%, and reduces Staphylococcus capitis microbial adhesion by 70%, with ...
Hamed Shokri+4 more
wiley +1 more source
Moduli of vector bundles on curves with parabolic structures [PDF]
C. S. Seshadri
openalex +1 more source
A novel approach for alloy development in laser powder bed fusion is introduced. Instead of producing massive samples of one composition at a time, prepressed powder bed samples produced from powder mixtures are processed. Guidelines for the selection of precursor powders are developed.
Felix Großwendt+6 more
wiley +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
Theory of Fredholm operators and vector bundles relative to a von Neumann algebra [PDF]
M. Breuer
openalex +1 more source