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A research group conducted quantitative individual analysis on the contribution to the strength of the micrometer-scale ...
Paving the way to custom function control that goes beyond conventional mechanical functionsKey Findings Focusing on the ...
This work proposes a neural network-based approach to locate and classify residues in crystallographic electron density maps automatically in a single forward pass without relying on the protein’s ...
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AZoM on MSNNovel "Neutron Camera" Technique Reveals Hidden Disorder in Thermoelectric Material GeTeThe Science Thermoelectric materials convert heat directly into electricity. They offer a promising way to produce energy from waste heat. But first, scientists need a better understanding of these ...
In these cases, a narrow channel of minimal resistance forms along one crystallographic direction, while all other paths remain energetically unfavorable. This creates what the authors describe as ...
Under the right conditions, they noticed that the nanotubes all pointed along a specific crystallographic direction. This is the first time that arrayed tungsten disulfide nanotubes have been grown.
Even after two decades of research, conventional 111 B oriented III–V nanowires are often perturbed by twins and stacking faults that form perpendicular to their growth direction and span the ...
Inorganic synthesis-structure maps in zeolites with ML and crystallographic distances This repository contains all the data, plots, scripts, and notebooks to reproduce the manuscript: D. Schwalbe-Koda ...
How to use Street View on Google Maps Before we get started, if you're using a mobile device, go ahead and download the Google Maps app.
This is important because these materials exhibit different properties when they have different crystallographic directions," Ozcan said. For the first time, Ozcan has seen crystallographic ...
Controlling the size, shape and crystallographic orientation of single crystals is vital to exploit the desired properties.
Algorithm replaces mechanical tests The machine-learning algorithm named MAD3, pronounced "mad cubed" and short for Material Data Driven Design, works because metal alloys are made of microscopic, ...
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