AIMC Topic: Molybdenum

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Flexible Optical Synapses Based on InSe/MoS Heterojunctions for Artificial Vision Systems in the Near-Infrared Range.

ACS applied materials & interfaces Dec 13, 2022
Near-infrared (NIR) synaptic devices integrate NIR optical sensitivity and synaptic plasticity, emulating the basic biomimetic function of the human visual system and showing great potential in NIR artificial vision systems. However, the lack of semi...
Humans Molybdenum Biomimetics Synapses Artificial Intelligence Learning
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A MoS Hafnium Oxide Based Ferroelectric Encoder for Temporal-Efficient Spiking Neural Network.

Advanced materials (Deerfield Beach, Fla.) Nov 29, 2022
Spiking neural network (SNN), where the information is evaluated recurrently through spikes, has manifested significant promises to minimize the energy expenditure in data-intensive machine learning and artificial intelligence. Among these applicatio...
Neurons Molybdenum Artificial Intelligence Action Potentials Neural Networks, Computer
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Classification and Reconstruction of Biomedical Signals Based on Convolutional Neural Network.

Computational intelligence and neuroscience Jul 21, 2022
The efficient biological signal processing method can effectively improve the efficiency of researchers to explore the work of life mechanism, so as to better reveal the relationship between physiological structure and function, thus promoting the ge...
Humans Signal Processing, Computer-Assisted Molybdenum Neural Networks, Computer Electroencephalography
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STEM Image Analysis Based on Deep Learning: Identification of Vacancy Defects and Polymorphs of MoS.

Nano letters Jun 8, 2022
Scanning transmission electron microscopy (STEM) is an indispensable tool for atomic-resolution structural analysis for a wide range of materials. The conventional analysis of STEM images is an extensive hands-on process, which limits efficient handl...
Deep Learning Image Processing, Computer-Assisted Microscopy, Electron, Scanning Transmission Molybdenum
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An artificial neural network chip based on two-dimensional semiconductor.

Science bulletin Oct 5, 2021
Recently, research on two-dimensional (2D) semiconductors has begun to translate from the fundamental investigation into rudimentary functional circuits. In this work, we unveil the first functional MoS artificial neural network (ANN) chip, including...
Semiconductors Molybdenum Children's Health Insurance Program Neural Networks, Computer Computer Simulation
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Deep learning enabled classification of real-time respiration signals acquired by MoSSe quantum dot-based flexible sensors.

Journal of materials chemistry. B Aug 16, 2021
Respiration rate is a vital parameter which is useful for the earlier identification of diseases. In this context, various types of devices have been fabricated and developed to monitor different breath rates. However, the disposability and biocompat...
Quantum Dots Molybdenum Monitoring, Physiologic Particle Size Sulfur Breath Tests Materials Testing Biocompatible Materials Humans Deep Learning Selenium Wearable Electronic Devices Time Factors
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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...
Machine Learning Databases, Chemical Disulfides Boron Compounds Electric Conductivity Semiconductors Models, Statistical Graphite Molybdenum
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Reconfigurable MoS Memtransistors for Continuous Learning in Spiking Neural Networks.

Nano letters Jul 20, 2021
Artificial intelligence and machine learning are growing computing paradigms, but current algorithms incur undesirable energy costs on conventional hardware platforms, thus motivating the exploration of more efficient neuromorphic architectures. Towa...
Computers Molybdenum Artificial Intelligence Algorithms Neural Networks, Computer
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Original signal amplification assay for N-Terminal pro-brain natriuretic peptide detection based on BiMoO photosensitive matrix.

Analytica chimica acta Dec 16, 2019
An original dual signal amplification immunoassay for N-Terminal pro-brain natriuretic peptide (NT-proBNP) detection is developed based on Au NPs and Zn doped CdS nanoparticles (ZnCdS) co-sensitized BiMoO nanosheet photoelectrochemical (PEC) platform...
Bismuth Natriuretic Peptide, Brain Limit of Detection Peptide Fragments Humans Gold Zinc Metal Nanoparticles Electrochemical Techniques Molybdenum Reproducibility of Results Immunoassay Cadmium Surface Plasmon Resonance Antibodies, Immobilized
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Gaussian synapses for probabilistic neural networks.

Nature communications Sep 13, 2019
The recent decline in energy, size and complexity scaling of traditional von Neumann architecture has resurrected considerable interest in brain-inspired computing. Artificial neural networks (ANNs) based on emerging devices, such as memristors, achi...
Nanotechnology Transistors, Electronic Normal Distribution Disulfides Neural Networks, Computer Molybdenum
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