AIMC Topic: Metals

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Sinogram domain metal artifact correction of CT via deep learning.

Computers in biology and medicine Feb 20, 2023
PURPOSE: Metal artifacts can significantly decrease the quality of computed tomography (CT) images. This occurs as X-rays penetrate implanted metals, causing severe attenuation and resulting in metal artifacts in the CT images. This degradation in im...
Reproducibility of Results Deep Learning Tomography, X-Ray Computed Artifacts Phantoms, Imaging Metals Image Processing, Computer-Assisted Algorithms
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Electronic whiskers for velocity sensing based on the liquid metal hysteresis effect.

Soft matter Dec 14, 2022
The artificial biomimetic sensory hair as state-of-art electronics has drawn great attention from academic theorists of industrial production given its potential application in soft robotics, environmental exploration and health monitoring. However, ...
Humans Animals Motion Biomimetics Vibrissae Robotics Electronics Metals
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Liquid metal droplet motion transferred from an alkaline solution by a robot arm.

Lab on a chip Nov 22, 2022
The excellent motion performance of gallium-based liquid metals (LMs) upon the application of a modest electric field has provided a new opportunity for the development of autonomous soft robots. However, the locomotion of LMs often appears in an alk...
Robotics Motion Metals Locomotion Electrowetting
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Charge Recombination Dynamics in a Metal Halide Perovskite Simulated by Nonadiabatic Molecular Dynamics Combined with Machine Learning.

The journal of physical chemistry letters Nov 11, 2022
Nonadiabatic coupling (NAC) plays a central role in driving nonadiabatic dynamics in various photophysical and photochemical processes. However, the high computational cost of NAC limits the time scale and system size of quantum dynamics simulation. ...
Metals Molecular Dynamics Simulation Calcium Compounds Recombination, Genetic Machine Learning
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Monitoring and early warning of a metal mine tailings pond based on a deep learning bidirectional recurrent long and short memory network.

PloS one Oct 13, 2022
The effective monitoring and early warning capability of metal mine tailings ponds can improve the associated safety risk management level. The infiltration line is an important core index of tailings pond stability. In this paper, a tailings pond mo...
Ponds Metals Deep Learning Environmental Monitoring
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Deep learning method for reducing metal artifacts in dental cone-beam CT using supplementary information from intra-oral scan.

Physics in medicine and biology Aug 25, 2022
Recently, dental cone-beam computed tomography (CBCT) methods have been improved to significantly reduce radiation dose while maintaining image resolution with minimal equipment cost. In low-dose CBCT environments, metallic inserts such as implants, ...
Artifacts Prostheses and Implants Deep Learning Metals Cone-Beam Computed Tomography Image Processing, Computer-Assisted Algorithms
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Muscle-Inspired Linear Actuators by Electrochemical Oxidation of Liquid Metal Bridges.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jul 21, 2022
Progress in artificial muscles relies on new architectures that combine soft matter with transduction mechanisms for converting controlled stimuli into mechanical work. Liquid metal, in particular eutectic gallium-indium (EGaIn), is promising for cre...
Metals Muscles Robotics
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Structural Bioinformatics and Deep Learning of Metalloproteins: Recent Advances and Applications.

International journal of molecular sciences Jul 12, 2022
All living organisms require metal ions for their energy production and metabolic and biosynthetic processes. Within cells, the metal ions involved in the formation of adducts interact with metabolites and macromolecules (proteins and nucleic acids)....
Databases, Protein Binding Sites Metalloproteins Metals Computational Biology Deep Learning
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Effects of thickness reduction in cold rolling process on the formability of sheet metals using ANFIS.

Scientific reports Jun 21, 2022
Cold rolling has detrimental effect on the formability of sheet metals. It is, however, inevitable in producing sheet high quality surfaces. The effects of cold rolling on the forming limits of stretch sheets are not investigated comprehensively in t...
Metals Fuzzy Logic Neural Networks, Computer Artificial Intelligence
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Collaborative Robotic Wire + Arc Additive Manufacture and Sensor-Enabled In-Process Ultrasonic Non-Destructive Evaluation.

Sensors (Basel, Switzerland) May 31, 2022
The demand for cost-efficient manufacturing of complex metal components has driven research for metal Additive Manufacturing (AM) such as Wire + Arc Additive Manufacturing (WAAM). WAAM enables automated, time- and material-efficient manufacturing of ...
Robotic Surgical Procedures Ultrasonics Diagnostic Imaging Ultrasonography Metals Robotics
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