AIMC Topic: Electric Conductivity
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Ferromagnetic soft catheter robots for minimally invasive bioprinting.
Nature communications
Aug 20, 2021
In vivo bioprinting has recently emerged as a direct fabrication technique to create artificial tissues and medical devices on target sites within the body, enabling advanced clinical strategies. However, existing in vivo bioprinting methods are ofte...
Bandgap prediction of two-dimensional materials using machine learning.
PloS one
Aug 13, 2021
The bandgap of two-dimensional (2D) materials plays an important role in their applications to various devices. For instance, the gapless nature of graphene limits the use of this material to semiconductor device applications, whereas the indirect ba...
Magnetic-resonance-based measurement of electromagnetic fields and conductivity in vivo using single current administration-A machine learning approach.
PloS one
Jul 22, 2021
Diffusion tensor magnetic resonance electrical impedance tomography (DT-MREIT) is a newly developed technique that combines MR-based measurements of magnetic flux density with diffusion tensor MRI (DT-MRI) data to reconstruct electrical conductivity ...
High-frequency conductivity at Larmor-frequency in human brain using moving local window multilayer perceptron neural network.
PloS one
May 20, 2021
Magnetic resonance electrical properties tomography (MREPT) aims to visualize the internal high-frequency conductivity distribution at Larmor frequency using the B1 transceive phase data. From the magnetic field perturbation by the electrical field a...
Controllable high-performance memristors based on 2D FeGeTeoxide for biological synapse imitation.
Nanotechnology
May 19, 2021
Memristors are an important component of the next-generation artificial neural network, high computing systems, etc. In the past, two-dimensional materials based memristors have achieved a high performance and low power consumption, though one at the...
Mapping soil salinity using a combined spectral and topographical indices with artificial neural network.
PloS one
May 13, 2021
Monitoring the status of natural and ecological resources is necessary for conservation and protection. Soil is one of the most important environmental resources in agricultural lands and natural resources. In this research study, we used Landsat 8 a...
A Zwitterionic-Aromatic Motif-Based ionic skin for highly biocompatible and Glucose-Responsive sensor.
Journal of colloid and interface science
May 6, 2021
Electronic skins that can sense external stimuli have been of great significance in artificial intelligence and smart wearable devices in recent years. However, most of current skin materials are unable to achieve high biocompatibility and anti-bacte...
Improving phase-based conductivity reconstruction by means of deep learning-based denoising of phase data for 3T MRI.
Magnetic resonance in medicine
May 5, 2021
PURPOSE: To denoise phase using a deep learning method for phase-based in vivo electrical conductivity reconstruction in a 3T MR system.
Recycled Iontronic from Discarded Chewed Gum for Personalized Healthcare Monitoring and Intelligent Information Encryption.
ACS applied materials & interfaces
Feb 1, 2021
With the explosive development of smart wearable devices, a serious situation that a large amount of energy waste and environmental pollution caused by electronic discarding needs to be solved urgently. Here, as a throwaway waste material, a chewed g...
Janus-like Jagged Structure with Nanocrystals for Self-Sorting Wearable Tactile Sensor.
ACS applied materials & interfaces
Jan 29, 2021
In this study, a self-sorting sensor was developed with the ability to distinguish between different pressure regimes and translate the pressure to electrical signals. Specifically, the self-sorting sensor can distinguish between soft and hard pressu...
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