Results 71 to 80 of about 1,698,926 (377)
Nature Communications, 2019 Magnetic anti-skyrmions—chiral spin textures that could find applications in spintronics—have been recently observed in inverse tetragonal Heusler Mn1.4Pt0.9Pd0.1Sn.
Rana Saha +7 more
doaj +1 more source
Homogenization in magnetic-shape-memory polymer composites
, 2017 Magnetic-shape-memory materials (e.g. specific NiMnGa alloys) react with a large change of shape to the presence of an external magnetic field. As an alternative for the difficult to manifacture single crystal of these alloys we study composite materials
A Braides +26 more
core +1 more source
The effect of processing route on properties of HfNbTaTiZr high entropy alloy [PDF]
, 2019 High entropy alloys (HEA) have been one of the most attractive groups of materials for researchers in the last several years. Since HEAs are potential candidates for many (e.g., refractory, cryogenic, medical) applications, their properties are studied ...
Kim, Hyoung-Seop +8 more
core +1 more source
Metallurgical and Materials Transactions. A, 2020 Beam-based additive manufacturing (AM) of metallic components is characterized by extreme process conditions. The component forms in a line-by-line and layer-by-layer process over many hours.
C. Körner, M. Markl, Johannes A. Koepf
semanticscholar +1 more source
European Journal of Applied Mathematics, 1993 This paper deals with the mathematical characterization of microstructure in elastic solids. We formulate our ideas in terms of rank-one convexity and identify the set of probability measures for which Jensen's inequality for this type of functions holds. This is the set of laminates.
openaire +3 more sources
Advanced Engineering Materials, EarlyView.This study demonstrates a novel, additive manufacturing approach to produce complex, porous tungsten carbide structures using water‐based direct ink writing/robocasting. Leveraging a modified commercial printer and heat treatment, the process yields lightweight, electrically conductive 3D architectures capable of supporting a mechanical load.
James Bentley Bevis +3 more
wiley +1 more source
A Transfer Learning Approach for Microstructure Reconstruction and Structure-property Predictions [PDF]
Scientific Reports, 2018 Stochastic microstructure reconstruction has become an indispensable part of computational materials science, but ongoing developments are specific to particular material systems. In this paper, we address this generality problem by presenting a transfer
Xiaolin Li +5 more
semanticscholar +1 more source
The Microstructure of (t, m, s)-Nets
Journal of Complexity, 2001 In an article of \textit{A. B. Owen} [J. Complexity 14, 466-489 (1998; Zbl 0916.65017)] the question about the distribution properties of digital \((t, m, s)\)-nets in small intervals was raised. The authors give an algebraic expression as well as upper and lower bounds for the maximum number of points of a \((t, m, s)\)-net in these intervals and also
Niederreiter, H., Pirsic, G.
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Stochastic Effects in Microstructure [PDF]
Materials Research, 2002 We are currently studying microstructural responses to diffusion-limited coarsening in two-phase materials. A mathematical solution to late-stage multiparticle diffusion in finite systems is formulated with account taken of particle-particle interactions and their microstructural correlations, or "locales". The transition from finite system behavior to
Glicksman, M.E. +2 more
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Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.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