Results 61 to 70 of about 257,977 (271)
Magnetoactive Metamaterials: A State‐of‐the‐Art Review
Magnetoactive metamaterials combine magnetoactive composites with architected metastructures to enable contactless, tunable control of mechanical, acoustic, and elastic properties. This review highlights recent advances in their design, fabrication, and applications in soft robotics, biomedical devices, and adaptive structures and outlines future ...
Seyyedmohammad Aghamiri, Ramin Sedaghati
wiley +1 more source
This study evaluates ultra-low-dose computed tomography (ULDCT) protocols concerning the detectability of pulmonary nodules. The influence of tube current settings, kernels, strength levels of third-generation iterative reconstruction algorithms, and ...
Natascha Leitzig +4 more
doaj +1 more source
A new 3DAP reconstruction procedure is proposed that accounts for the evaporation field of a secondary phase. It applies the existing cluster selection software to identify the atoms of the second phase and, subsequently, an iterative algorithm to ...
Blavette, D. +5 more
core +3 more sources
Image Reconstruction by Splitting Expectation Propagation Techniques from Iterative Inversion [PDF]
Robert G. Aykroyd, Kehinde Olobatuyi
openalex +1 more source
Synchrotron Radiation for Quantum Technology
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader +10 more
wiley +1 more source
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu +5 more
wiley +1 more source
Ultra Low Dose CT Pulmonary Angiography with Iterative Reconstruction. [PDF]
OBJECTIVE:Evaluation of a new iterative reconstruction algorithm (IMR) for detection/rule-out of pulmonary embolism (PE) in ultra-low dose computed tomography pulmonary angiography (CTPA).
Andreas Sauter +8 more
doaj +1 more source
Iterative Reconstruction of Memory Kernels
In recent years, it has become increasingly popular to construct coarse-grained models with non-Markovian dynamics to account for an incomplete separation of time scales.
Hanke, Martin +2 more
core +1 more source
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi +10 more
wiley +1 more source
Multi-Objective Sparse Reconstruction With Transfer Learning and Localized Regularization
Multi-objective sparse reconstruction methods have shown strong potential in sparse reconstruction. However, most methods are computationally expensive due to the requirement of excessive functional evaluations.
Bai Yan +3 more
doaj +1 more source

