Results 81 to 90 of about 475,897 (380)
Design for X-Ray Computed Tomography
Procedia CIRP, 2019 Abstract The search for higher and higher performance is pushing part geometry to increased complexity. A significant contribution to this trend has been given by the diffusion of additive manufacturing technologies: substituting a simple additive manufacturing part with a complex one does not significantly affect the production cost.
Moroni, Giovanni, Petrò, Stefano
openaire +3 more sources
Advanced Engineering Materials, EarlyView.Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Maximizing temperature sensitivity in a one-dimensional photonic crystal thermal sensor
Scientific ReportsThis paper focuses on a defective one-dimensional photonic crystal thermal sensor with fabricated layers of gallium nitride, glycerin, and air. The transmission features of this sensor have been presented based on the transfer matrix approach using ...
Manal A. Maher +3 more
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Realistic CT image simulation tools for laboratory based X-ray CT at UGCT [PDF]
, 2013 In laboratory based X-ray Computed Tomography (CT), the grey values in the resulting CT image depend on several scanning conditions such as the emitted spectrum, the response characteristics of the detector and beam filtration.
Brabant, Loes +3 more
core
Segmentation-free x-ray energy spectrum estimation for computed tomography
, 2016 X-ray energy spectrum plays an essential role in imaging and related tasks. Due to the high photon flux of clinical CT scanners, most of the spectrum estimation methods are indirect and are usually suffered from various limitations. The recently proposed
Niu, Tianye, Zhang, Qiude, Zhao, Wei
core +1 more source
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
Reciprocal space x-ray computed tomography
APL MaterialsThree-dimensional reciprocal space mapping (3D-RSM) offers crucial insights into the intricate microstructural properties of materials, including spatial domain distribution, directional long-range ordering, multilayer-substrate mismatch, layer tilting ...
Arturas Vailionis +2 more
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X-ray computed tomography investigations of Cucuteni ceramic statuettes
Documenta Praehistorica, 2013 Deciphering the internal structure of prehistoric artefacts can provide spectacular insights that might help us understand the people who made them. In order to preserve the integrity of these relics of past civilisations, it is desirable to make such ...
Carmen Pavel +3 more
doaj +1 more source
X-ray Diffraction Tomographic Imaging and Reconstruction [PDF]
, 2011 Material discrimination based on conventional or dual energy X-ray computed tomography (CT) imaging can be ambiguous. X-ray diffraction imaging (XDI) can be used to construct diffraction profiles of objects, providing new molecular signature information ...
Castañón, David, Chen, Ke
core +1 more source
Relaxed Linearized Algorithms for Faster X-Ray CT Image Reconstruction [PDF]
, 2015 Statistical image reconstruction (SIR) methods are studied extensively for X-ray computed tomography (CT) due to the potential of acquiring CT scans with reduced X-ray dose while maintaining image quality.
Fessler, Jeffrey A., Nien, Hung
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