AIMC Topic: Nanotubes, Carbon

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Gate-Tunable Synaptic Dynamics of Ferroelectric-Coupled Carbon-Nanotube Transistors.

ACS applied materials & interfaces Jan 16, 2020
Artificial neural networks (ANNs) based on synaptic devices, which can simultaneously perform processing and storage of data, have superior computing performance compared to conventional von Neumann architectures. Here, we present a ferroelectric cou...
Humans Neural Networks, Computer Nanotubes, Carbon Synapses Transistors, Electronic Artificial Intelligence Neuronal Plasticity Equipment Design
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Single and competitive dye adsorption onto chitosan-based hybrid hydrogels using artificial neural network modeling.

Journal of colloid and interface science Oct 29, 2019
Chitosan-based hybrid hydrogels such as chitosan hydrogel (CH), chitosan hydrogel with activated carbon (CH-AC), scaffold-chitosan hydrogel (SCH), scaffold-chitosan hydrogel with activated carbon (SCH-AC) and scaffold-chitosan hydrogel with carbon na...
Binding, Competitive Azo Compounds Nanotubes, Carbon Benzenesulfonates Neural Networks, Computer Adsorption Chitosan Charcoal Coloring Agents Hydrogels
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Artificial Neural Network Approach for Modelling of Mercury Ions Removal from Water Using Functionalized CNTs with Deep Eutectic Solvent.

International journal of molecular sciences Aug 28, 2019
Multi-walled carbon nanotubes (CNTs) functionalized with a deep eutectic solvent (DES) were utilized to remove mercury ions from water. An artificial neural network (ANN) technique was used for modelling the functionalized CNTs adsorption capacity. T...
Neural Networks, Computer Mercury Nanotubes, Carbon Solvents Water Purification Adsorption
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A highly effective, recyclable, and novel host-guest nanocomposite for Triclosan removal: A comprehensive modeling and optimization-based adsorption study.

Journal of colloid and interface science May 3, 2019
In this research paper, response surface methodology (RSM), generalized regression neural network (GRNN), and Adaptive Neuro-Fuzzy Inference System (ANFIS) were employed to develop prediction models for Triclosan (TCS) removal by a novel inclusion co...
Kinetics Polyethylene Glycols Nanocomposites Regression Analysis Particle Size Thermodynamics Triclosan Nanotubes, Carbon beta-Cyclodextrins Surface Properties Neural Networks, Computer Anti-Bacterial Agents Water Pollutants, Chemical Adsorption
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Realizing the potential of dielectric elastomer artificial muscles.

Proceedings of the National Academy of Sciences of the United States of America Jan 24, 2019
Soft robotics represents a new set of technologies aimed at operating in natural environments and near the human body. To interact with their environment, soft robots require artificial muscles to actuate movement. These artificial muscles need to be...
Electricity Muscles Artificial Organs Elastomers Muscle Contraction Electrodes Nanotubes, Carbon Humans Robotics
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Modeling adsorption of organic pollutants onto single-walled carbon nanotubes with theoretical molecular descriptors using MLR and SVM algorithms.

Chemosphere Sep 18, 2018
Prediction of adsorption equilibrium coefficients (K) of organic compounds onto single walled carbon nanotubes (SWNTs) from in silico molecular descriptors is of importance for probing potential applications of SWNTs as well as for evaluating environ...
Algorithms Organic Chemicals Support Vector Machine Nanotubes, Carbon Quantitative Structure-Activity Relationship
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Human Motion Recognition by Textile Sensors Based on Machine Learning Algorithms.

Sensors (Basel, Switzerland) Sep 14, 2018
Wearable sensors for human physiological monitoring have attracted tremendous interest from researchers in recent years. However, most of the research involved simple trials without any significant analytical algorithms. This study provides a way of ...
Wearable Electronic Devices Nanotubes, Carbon Movement Machine Learning Adult Textiles Humans Male
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A molecular neuromorphic network device consisting of single-walled carbon nanotubes complexed with polyoxometalate.

Nature communications Jul 12, 2018
In contrast to AI hardware, neuromorphic hardware is based on neuroscience, wherein constructing both spiking neurons and their dense and complex networks is essential to obtain intelligent abilities. However, the integration density of present neuro...
Nanotubes, Carbon Microscopy, Atomic Force Tungsten Compounds Models, Neurological Electrochemical Techniques Humans Neurons Brain Neural Networks, Computer Computer Simulation Algorithms
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Aligned Carbon Nanotube Synaptic Transistors for Large-Scale Neuromorphic Computing.

ACS nano Jun 29, 2018
This paper presents aligned carbon nanotube (CNT) synaptic transistors for large-scale neuromorphic computing systems. The synaptic behavior of these devices is achieved via charge-trapping effects, commonly observed in carbon-based nanoelectronics. ...
Neural Networks, Computer Particle Size Nanotechnology Nanotubes, Carbon Transistors, Electronic Surface Properties
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The label-free immunosensor based on rhodium@palladium nanodendrites/sulfo group functionalized multi-walled carbon nanotubes for the sensitive analysis of carcino embryonic antigen.

Analytica chimica acta Dec 30, 2017
In this work, bimetallic core-shell rhodium@palladium nanodendrites (Rh@Pd NDs) loaded on sulfo group functionalized multi-walled carbon nanotubes (MWCNTs-SOH) were combined to form Rh@Pd NDs/MWCNTs-SOH nanocomposites. And the composites were used to...
Rhodium Electrodes Sulfur Nanocomposites Electrochemical Techniques Nanotubes, Carbon Carcinoembryonic Antigen Biosensing Techniques Immunoassay Antibodies, Immobilized Particle Size Palladium Surface Properties
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