AIMC Topic: Electrodes

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An open-source deep learning model for predicting effluent concentration in capacitive deionization.

The Science of the total environment Oct 1, 2022
To effectively evaluate the performance of capacitive deionization (CDI), an electrochemical ion separation technology, it is necessary to accurately estimate the number of ions removed (effluent concentration) according to energy consumption. Herein...
Water Purification Ions Electricity Deep Learning Electrodes
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Computer-Vision-Based Approach to Classify and Quantify Flaws in Li-Ion Electrodes.

Small methods Sep 11, 2022
X-ray computed tomography (X-ray CT) is a non-destructive characterization technique that in recent years has been adopted to study the microstructure of battery electrodes. However, the often manual and laborious data analysis process hinders the ex...
Electrodes Tomography, X-Ray Computed Image Processing, Computer-Assisted Neural Networks, Computer Computers
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Enhanced artificial intelligence for electrochemical sensors in monitoring and removing of azo dyes and food colorant substances.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association Sep 9, 2022
It is necessary to determine whether synthetic dyes are present in food since their excessive use has detrimental effects on human health. For the simultaneous assessment of tartrazine and Patent Blue V, a novel electrochemical sensing platform was d...
Food Contamination Electrochemical Techniques Humans Artificial Intelligence Tartrazine Food Coloring Agents Azo Compounds Electrodes Rosaniline Dyes
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Full Soft Capacitive Omnidirectional Tactile Sensor Based on Micro-Spines Electrode and Hemispheric Dielectric Structure.

Biosensors Jul 10, 2022
Flourishing in recent years, intelligent electronics is desirably pursued in many fields including bio-symbiotic, human physiology regulatory, robot operation, and human-computer interaction. To support this appealing vision, human-like tactile perce...
Electrodes Touch Robotics Humans Prospective Studies Wearable Electronic Devices
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Rapid prototyping of ion-selective electrodes using a low-cost 3D printed internet-of-things (IoT) controlled robot.

Talanta May 16, 2022
We report automated fabrication of solid-contact sodium-selective (Na-ISEs) and potassium-selective electrodes (K-ISEs) using a 3D printed liquid handling robot controlled with Internet of Things (IoT) technology. The printing system is affordable an...
Printing, Three-Dimensional Sodium Robotics Internet of Things Electrodes Potassium Potentiometry Ions Ion-Selective Electrodes
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A 16-Channel Fully Configurable Neural SoC With 1.52 μW/Ch Signal Acquisition, 2.79 μW/Ch Real-Time Spike Classifier, and 1.79 TOPS/W Deep Neural Network Accelerator in 22 nm FDSOI.

IEEE transactions on biomedical circuits and systems May 9, 2022
With the advent of high-density micro-electrodes arrays, developing neural probes satisfying the real-time and stringent power-efficiency requirements becomes more challenging. A smart neural probe is an essential device in future neuroscientific res...
Electrodes Signal Processing, Computer-Assisted Neural Networks, Computer Cyclic N-Oxides
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The application of physics-informed neural networks to hydrodynamic voltammetry.

The Analyst May 3, 2022
Electrochemical problems are widely studied in flowing systems since the latter offer improved sensitivity notably for electro-analysis and the possibility of steady-state measurements for fundamental studies even with macro-electrodes. We report the...
Physics Electrodes Hydrodynamics Neural Networks, Computer
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Stress Classification Using Brain Signals Based on LSTM Network.

Computational intelligence and neuroscience Apr 28, 2022
The early diagnosis of stress symptoms is essential for preventing various mental disorder such as depression. Electroencephalography (EEG) signals are frequently employed in stress detection research and are both inexpensive and noninvasive modality...
Electroencephalography Electrodes Neural Networks, Computer Humans Motion Pictures Brain
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Bridging nano- and microscale X-ray tomography for battery research by leveraging artificial intelligence.

Nature nanotechnology Apr 12, 2022
X-ray computed tomography (CT) is a non-destructive imaging technique in which contrast originates from the materials' absorption coefficient. The recent development of laboratory nanoscale CT (nano-CT) systems has pushed the spatial resolution for b...
Porosity Electrodes Artificial Intelligence Tomography, X-Ray Computed
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Machine-Learning-Assisted Recognition on Bioinspired Soft Sensor Arrays.

ACS nano Mar 24, 2022
Soft interfaces with self-sensing capabilities play an essential role in environment awareness and reaction. The growing overlap between materials and sensory systems has created a myriad of challenges for sensor integration, including the design of ...
Algorithms Electrodes Neural Networks, Computer Touch Machine Learning
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