Results 71 to 80 of about 327,072 (350)

A deep learning reconstruction framework for X-ray computed tomography with incomplete data

open access: yesPLoS ONE, 2019
As a powerful imaging tool, X-ray computed tomography (CT) allows us to investigate the inner structures of specimens in a quantitative and nondestructive way.
Jianbing Dong, J. Fu, Zhao He
semanticscholar   +1 more source

Mechanochemical Synthesis and Characterization of Nanostructured ErB4 and NdB4 Rare‐Earth Tetraborides

open access: yesAdvanced Engineering Materials, Volume 27, Issue 6, March 2025.
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur   +5 more
wiley   +1 more source

Reciprocal space x-ray computed tomography

open access: yesAPL Materials
Three-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
doaj   +1 more source

4DMRI-based investigation on the interplay effect for pencil beam scanning proton therapy of pancreatic cancer patients

open access: yesRadiation Oncology, 2019
Background Time-resolved volumetric magnetic resonance imaging (4DMRI) offers the potential to analyze 3D motion with high soft-tissue contrast without additional imaging dose.
Kai Dolde   +9 more
doaj   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

open access: yesAdvanced 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

Dark-field chest x-ray imaging: first experience in patients with alpha1-antitrypsin deficiency

open access: yesEuropean Radiology Experimental, 2022
Background Spirometry and conventional chest x-ray have limitations in investigating early emphysema, while computed tomography, the reference imaging method in this context, is not part of routine patient care due to its higher radiation dose.
Gregor S. Zimmermann   +23 more
doaj   +1 more source

Superfast Scan of Focused X-Ray Luminescence Computed Tomography Imaging

open access: yesIEEE Access, 2023
X-ray luminescence computed tomography (XLCT) is a hybrid molecular imaging modality having the high spatial resolution of x-ray imaging and high measurement sensitivity of optical imaging.
Yile Fang   +3 more
doaj   +1 more source

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

Applications of X-Ray Computed Tomography in Particulate Systems

open access: yesKONA Powder and Particle Journal, 2014
X-ray computed tomography (CT) is an ideal technique for investigating the internal structure of multiphase materials in a noninvasive and nondestructive manner.
C. L. Lin, J. D. Miller, A. Cortes
doaj   +1 more source

Multiscale Modeling of Process‐Induced Defects in Fused Filament Fabrication‐Printed Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents a predictive multiscale modeling tool for defect analysis of fused filament fabricated‐printed materials and their performance prediction using a mechanistic data science‐based reduced‐order modeling approach. Process‐induced defects are inherent to additively manufactured parts and significantly influence the performance of printed
Satyajit Mojumder   +3 more
wiley   +1 more source

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