Results 141 to 150 of about 1,052,060 (355)
Deformation Behavior of La2O3‐Doped Copper during Equal Channel Angular Pressing
Advanced Engineering Materials, EarlyView.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
Microstructure-Aware Bayesian Materials Design [PDF]
arXivIn this study, we propose a novel microstructure-sensitive Bayesian optimization (BO) framework designed to enhance the efficiency of materials discovery by explicitly incorporating microstructural information. Traditional materials design approaches often focus exclusively on direct chemistry-process-property relationships, overlooking the critical ...
arxiv
Introduction to microstructured optical fibers [PDF]
arXiv, 2005 This article recounts definition, classification, history, and applications of microstructured optical fibers.
arxiv
Microstructure evolution of TI-SN-NB alloy prepared by mechanical alloying
, 2007 In the present study, Ti-16Sn-4Nb alloy was prepared by mechanical alloying (MA). Optical microscopy, scanning electron microscopy combined with energy dispersive X-ray analysis (SEM-EDX), and X-ray diffraction analysis (XRD) were used to characterise ...
Hodgson, Peter +5 more
core
Cogency, Compactness and Microstructure
Informal Logic, 2008 1. My book defends an account of argument cogency according to which a person P ought to be persuaded by an argument A just in case it’s rational for P to believe that (i) each of A’s premises is true, (ii) A’s premise set S is relevant to A’s conclusion, (iii) S provides enough evidence to justify belief in (i.e.
openaire +5 more sources
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
Frequency multiplexing enables parallel multi-sample EPR
Scientific ReportsElectron paramagnetic resonance (EPR) spectroscopy stands out as a powerful analytical technique with extensive applications in the fields of biology, chemistry, physics, and material sciences.
Chun Him Lee +2 more
doaj +1 more source
Nanomaterials, 2019 Two-dimensional (2D) organic-inorganic hybrid perovskite materials have received substantial attention because of their exceptional optoelectronic properties.
Lingfang Nie, Xiaoxing Ke, Manling Sui
doaj +1 more source
Exploring descriptors for titanium microstructure via digital fingerprints from variational autoencoders [PDF]
arXivMicrostructure is key to controlling and understanding the properties of metallic materials, but traditional approaches to describing microstructure capture only a small number of features. To enable data-centric approaches to materials discovery, allow efficient storage of microstructural data and assist in quality control in metals processing, we ...
arxiv
Advanced Engineering Materials, EarlyView.This study examines the mechanical properties of triply periodic minimal surfaces (TPMS)‐based lattices, analyzing 36 architectures in elastic and plastic regimes. It evaluates the applicability of beam‐based scaling laws to TPMS lattices. Rigidity arises from the alignment of members with the load direction and solid regions preventing rotation.
Lucía Doyle +2 more
wiley +1 more source