A review of memristor: material and structure design, device performance, applications and prospects
Y Xiao, B Jiang, Z Zhang, S Ke, Y Jin… - … and Technology of …, 2023 - Taylor & Francis
With the booming growth of artificial intelligence (AI), the traditional von Neumann
computing architecture based on complementary metal oxide semiconductor devices are …
computing architecture based on complementary metal oxide semiconductor devices are …
Nonlinearity in memristors for neuromorphic dynamic systems
K Yang, J Joshua Yang, R Huang, Y Yang - Small Science, 2022 - Wiley Online Library
As semiconductor technology enters the more than Moore era, there exists an apparent
contradiction between the rapidly growing demands for data processing and the visible …
contradiction between the rapidly growing demands for data processing and the visible …
In-memory computing with emerging nonvolatile memory devices
The von Neumann bottleneck and memory wall have posed fundamental limitations in
latency and energy consumption of modern computers based on von Neumann architecture …
latency and energy consumption of modern computers based on von Neumann architecture …
Memristive dynamics enabled neuromorphic computing systems
The slowing down of transistor scaling and explosive growth for intelligence computing
power emerge as the two driving factors for the study of novel devices and materials to …
power emerge as the two driving factors for the study of novel devices and materials to …
Neuromorphic Artificial Vision Systems Based on Reconfigurable Ion‐Modulated Memtransistors
Conventional vision systems suffer from lots of data handling between memory and
processing units. Inspired by how humans recognize noisy images and the flexible …
processing units. Inspired by how humans recognize noisy images and the flexible …
Two memristors-based XOR logic demonstrated with encryption/decryption
Y Song, Q Wu, X Wang, C Wang… - IEEE Electron Device …, 2021 - ieeexplore.ieee.org
In this study, an optimized XOR logic gate is briefly proposed based on memristors. The
proposed XOR exhibits a simple structure that comprises two memristors; it requires merely …
proposed XOR exhibits a simple structure that comprises two memristors; it requires merely …
Memristive devices based hardware for unlabeled data processing
Unlabeled data processing is of great significance for artificial intelligence (AI), since well-
structured labeled data are scarce in a majority of practical applications due to the high cost …
structured labeled data are scarce in a majority of practical applications due to the high cost …
Fully Hardware Memristive Neuromorphic Computing Enabled by the Integration of Trainable Dendritic Neurons and High‐Density RRAM Chip
Abstract Computing‐in‐memory (CIM) architecture inspired by the hierarchy of human brain
is proposed to resolve the von Neumann bottleneck and boost acceleration of artificial …
is proposed to resolve the von Neumann bottleneck and boost acceleration of artificial …
Neural Architecture Search with In‐Memory Multiply–Accumulate and In‐Memory Rank Based on Coating Layer Optimized C‐Doped Ge2Sb2Te5 Phase Change …
Neural architecture search (NAS), as a subfield of automated machine learning, can design
neural network models with better performance than manual design. However, the energy …
neural network models with better performance than manual design. However, the energy …
Iridium-based polymer for memristive devices with integrated logic and arithmetic applications
Y Ren, WC Lin, LY Ting, G Ding, B Yang… - Journal of Materials …, 2020 - pubs.rsc.org
Memristors that possess massive memory capacity and outstanding processing efficiency
concurrently are vitally important to surmount the limitation of Moore's law and traditional …
concurrently are vitally important to surmount the limitation of Moore's law and traditional …