AIMC Topic: Oxides

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Artificial Adaptive and Maladaptive Sensory Receptors Based on a Surface-Dominated Diffusive Memristor.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Nov 27, 2021
A biological receptor serves as sensory transduction from an external stimulus to an electrical signal. It allows humans to better match the environment by filtering out repetitive innocuous information and recognize potentially damaging stimuli thro...
Sensory Receptor Cells Receptors, Artificial Equipment Design Nanotechnology Electric Stimulation Electric Conductivity Metals Oxides Neural Networks, Computer
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ABO multiferroic perovskite materials for memristive memory and neuromorphic computing.

Nanoscale horizons Nov 22, 2021
The unique electron spin, transfer, polarization and magnetoelectric coupling characteristics of ABO multiferroic perovskite materials make them promising candidates for application in multifunctional nanoelectronic devices. Reversible ferroelectric ...
Neural Networks, Computer Artificial Intelligence Information Storage and Retrieval Calcium Compounds Oxides Titanium
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CMOS Implementation of ANNs Based on Analog Optimization of N-Dimensional Objective Functions.

Sensors (Basel, Switzerland) Oct 25, 2021
The design of neural network architectures is carried out using methods that optimize a particular objective function, in which a point that minimizes the function is sought. In reported works, they only focused on software simulations or commercial ...
Oxides Neurons Neural Networks, Computer Algorithms Semiconductors
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Search for ABO Type Ferroelectric Perovskites with Targeted Multi-Properties by Machine Learning Strategies.

Journal of chemical information and modeling Aug 10, 2021
Ferroelectric perovskites are one of the most promising functional materials due to the pyroelectric and piezoelectric effect. In the practical applications of ferroelectric perovskites, it is often necessary to meet the requirements of multiple prop...
Oxides Calcium Compounds Machine Learning
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Dual-Mode Learning of Ambipolar Synaptic Phototransistor Based on 2D Perovskite/Organic Heterojunction for Flexible Color Recognizable Visual System.

Small (Weinheim an der Bergstrasse, Germany) Jul 28, 2021
Artificial intelligence vision systems (AIVSs) with information sensing, processing, and storage functions are increasingly gaining attention in the science and technology community. Although synapse phototransistor (SPT) is one of the essential comp...
Calcium Compounds Artificial Intelligence Oxides Titanium
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Multimodal Tuning of Synaptic Plasticity Using Persistent Luminescent Memitters.

Advanced materials (Deerfield Beach, Fla.) Jun 19, 2021
Mimicking memory processes, including encoding, storing, and retrieving information, is critical for neuromorphic computing and artificial intelligence. Synaptic behavior simulations through electronic, magnetic, or photonic devices based on metal ox...
Synapses Oxides Luminescence Artificial Intelligence Neuronal Plasticity
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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...
Animals Oxidation-Reduction Oxides Biomimetic Materials Iron Synaptic Transmission Humans Electric Conductivity Electronics Neural Networks, Computer Copper Germanium Synapses Tellurium
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Dielectric Engineered Two-Dimensional Neuromorphic Transistors.

Nano letters Apr 9, 2021
Two-dimensional (2D) materials, which exhibit planar-wafer technique compatibility and pure electrically triggered communication, have established themselves as potential candidates in neuromorphic architecture integration. However, the current 2D ar...
Oxides Semiconductors Neural Networks, Computer Synapses
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Improving Data and Prediction Quality of High-Throughput Perovskite Synthesis with Model Fusion.

Journal of chemical information and modeling Apr 2, 2021
Combinatorial fusion analysis (CFA) is an approach for combining multiple scoring systems using the rank-score characteristic function and cognitive diversity measure. One example is to combine diverse machine learning models to achieve better predic...
Support Vector Machine Titanium Oxides Calcium Compounds Machine Learning
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Energy-efficient Mott activation neuron for full-hardware implementation of neural networks.

Nature nanotechnology Mar 18, 2021
To circumvent the von Neumann bottleneck, substantial progress has been made towards in-memory computing with synaptic devices. However, compact nanodevices implementing non-linear activation functions are required for efficient full-hardware impleme...
Vanadium Compounds Computers Oxides Neural Networks, Computer Databases, Factual Neurons Equipment Design Nanotechnology
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