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The future of memristors: Materials engineering and neural networks
K Sun, J Chen, X Yan - Advanced Functional Materials, 2021 - Wiley Online Library
Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …
booming, and neural networks have become the hot research direction. However, due to the …
A Review on Dielectric Breakdown in Thin Dielectrics: Silicon Dioxide, High‐k, and Layered Dielectrics
Thin dielectric films are essential components of most micro‐and nanoelectronic devices,
and they have played a key role in the huge development that the semiconductor industry …
and they have played a key role in the huge development that the semiconductor industry …
Nonvolatile memory materials for neuromorphic intelligent machines
Recent progress in deep learning extends the capability of artificial intelligence to various
practical tasks, making the deep neural network (DNN) an extremely versatile hypothesis …
practical tasks, making the deep neural network (DNN) an extremely versatile hypothesis …
Epitaxial Ferroelectric Hf0.5Zr0.5O2 Thin Films and Their Implementations in Memristors for Brain‐Inspired Computing
Doped‐HfO2 thin films with ferroelectricity have attracted great attention due to their
potential application in semiconductor industry as negative capacitance and resistance …
potential application in semiconductor industry as negative capacitance and resistance …
[HTML][HTML] On the thermal models for resistive random access memory circuit simulation
Resistive Random Access Memories (RRAMs) are based on resistive switching (RS)
operation and exhibit a set of technological features that make them ideal candidates for …
operation and exhibit a set of technological features that make them ideal candidates for …
Compliance-free, digital SET and analog RESET synaptic characteristics of sub-tantalum oxide based neuromorphic device
A two terminal semiconducting device like a memristor is indispensable to emulate the
function of synapse in the working memory. The analog switching characteristics of …
function of synapse in the working memory. The analog switching characteristics of …
Control of Switching Modes and Conductance Quantization in Oxygen Engineered HfOx based Memristive Devices
Hafnium oxide (HfOx)‐based memristive devices have tremendous potential as nonvolatile
resistive random access memory (RRAM) and in neuromorphic electronics. Despite its …
resistive random access memory (RRAM) and in neuromorphic electronics. Despite its …
Forming‐free grain boundary engineered hafnium oxide resistive random access memory devices
A model device based on an epitaxial stack combination of titanium nitride (111) and
monoclinic hafnia (11 1¯) is grown onto ac‐cut Al2O3‐substrate to target the role of grain …
monoclinic hafnia (11 1¯) is grown onto ac‐cut Al2O3‐substrate to target the role of grain …
Resistive memory‐based in‐memory computing: from device and large‐scale integration system perspectives
In‐memory computing is a computing scheme that integrates data storage and arithmetic
computation functions. Resistive random access memory (RRAM) arrays with innovative …
computation functions. Resistive random access memory (RRAM) arrays with innovative …
Charge transport in the A6B2O17 (A= Zr, Hf; B= Nb, Ta) superstructure series
The electrical properties of the entropy stabilized oxides: Zr 6 Nb 2 O 17, Zr 6 Ta 2 O 17, Hf 6
Nb 2 O 17 and Hf 6 Ta 2 O 17 were characterized. The results and the electrical properties of …
Nb 2 O 17 and Hf 6 Ta 2 O 17 were characterized. The results and the electrical properties of …