Results 51 to 60 of about 1,032,019 (347)

Optimization of a programmable λ/2-pitch optical phased array

open access: yesNanophotonics
A challenge in optical phased arrays (OPAs) is to achieve single-lobe emission using densely spaced emitters without incurring inter-waveguide optical crosstalk.
Sharma Ankita   +7 more
doaj   +1 more source

High-flexibility combinatorial peptide synthesis with laser-based transfer of monomers in solid matrix material

open access: yesNature Communications, 2016
Peptide arrays are used in areas such as measuring protein-protein interactions, but achieving high density in synthesis is challenging. Here, the authors report a method for the combinatorial synthesis of high density peptides arrays by laser driven ...
Felix F. Loeffler   +21 more
doaj   +1 more source

Epitaxial Growth of Uniform Single-Layer and Bilayer Graphene with Assistance of Nitrogen Plasma

open access: yesNanomaterials, 2021
Graphene was reported as the first-discovered two-dimensional material, and the thermal decomposition of SiC is a feasible route to prepare graphene films.
Shaoen Jin   +10 more
doaj   +1 more source

SiAlON Microstructures

open access: yesJournal of the Ceramic Society of Japan, 2008
This paper is focussed on the development of microstructure during liquid phase sintering and post-densification crystallisation heat treatment of ceramic materials based on the α- and β-Si3N4 structures. Grain shape and size distributions, assessed by quantitative microscopy in combination with stereological methods, and fine scale microstructures ...
openaire   +2 more sources

Deformation Behavior of La2O3‐Doped Copper during Equal Channel Angular Pressing

open access: yesAdvanced 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

Robocasting of a Water‐Based Biopolymer/WO3 Nanopowder Paste as a Precursor to Tungsten Carbide Lattices

open access: yesAdvanced 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]

open access: yesScientific 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

Laminates and microstructure

open access: yesEuropean 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

Stochastic Effects in Microstructure [PDF]

open access: yesMaterials 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
openaire   +4 more sources

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced 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

Home - About - Disclaimer - Privacy