Resistive memory devices at the thinnest limit: progress and challenges
The Si‐based integrated circuits industry has been developing for more than half a century,
by focusing on the scaling‐down of transistor. However, the miniaturization of transistors will …
by focusing on the scaling‐down of transistor. However, the miniaturization of transistors will …
Implementation of convolutional neural network and 8-bit reservoir computing in CMOS compatible VRRAM
Abstract We developed W/HfO 2/TiN vertical resistive random-access memory (VRRAM) for
neuromorphic computing. First, basic electrical properties, such as current–voltage curves …
neuromorphic computing. First, basic electrical properties, such as current–voltage curves …
Exploiting non-idealities of resistive switching memories for efficient machine learning
Novel computing architectures based on resistive switching memories (also known as
memristors or RRAMs) have been shown to be promising approaches for tackling the …
memristors or RRAMs) have been shown to be promising approaches for tackling the …
A TaOx-Based RRAM with Improved Uniformity and Excellent Analog Characteristics by Local Dopant Engineering
Y Qin, Z Wang, Y Ling, Y Cai, R Huang - Electronics, 2021 - mdpi.com
Resistive random-access memory (RRAM) with the ability to store and process information
has been considered to be one of the most promising emerging devices to emulate synaptic …
has been considered to be one of the most promising emerging devices to emulate synaptic …
Crossbar-level retention characterization in analog RRAM array-based computation-in-memory system
The reliability issues bring great challenges in the performance maintenance of computation-
in-memory (CIM), especially based on large-scale resistive random access memory (RRAM) …
in-memory (CIM), especially based on large-scale resistive random access memory (RRAM) …
Temperature-dependent accuracy analysis and resistance temperature correction in RRAM-based in-memory computing
Y Ling, Z Wang, Z Yu, S Bao, Y Yang… - … on Electron Devices, 2023 - ieeexplore.ieee.org
In this article, a precise electro-thermal modeling framework of resistive random access
memory (RRAM) fabricated using a commercial 40 nm CMOS back end of line (BEOL) …
memory (RRAM) fabricated using a commercial 40 nm CMOS back end of line (BEOL) …
Effect of temperature on analog memristor in neuromorphic computing
Y Huang, R Hopkins, D Janosky… - … on Electron Devices, 2022 - ieeexplore.ieee.org
In this article, the influence of the temperature instability of resistive memory switching on
potential neuromorphic computing applications is extensively studied using an Intel TaOx …
potential neuromorphic computing applications is extensively studied using an Intel TaOx …
Electro-Thermal Cosimulation of Vertical One-Transistor–One-Resistor (1T1R) Resistive Random Access Memory and Array
With switching dynamics similar to synapses, resistive random access memories (RRAMs)
provide the solutions for brain-inspired computing. In this article, a compact model for a …
provide the solutions for brain-inspired computing. In this article, a compact model for a …
A new insight and modeling of pulse-to-pulse variability in analog resistive memory for on-chip training
Z Yu, Z Wang, S Bao, Y Ling, Y Cai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Pulse-to-pulse variability (PPV) is a vital nonideal effect in analog resistive memory,
particularly for online training in emerging computing paradigms. The reported PPVs usually …
particularly for online training in emerging computing paradigms. The reported PPVs usually …
Computational failure analysis of in-memory rram architecture for pattern classification cnn circuits
NL Prabhu, N Raghavan - IEEE Access, 2021 - ieeexplore.ieee.org
Power-efficient data processing subsystems performing millions of complex concurrent
arithmetic operations per second form part of today's essential solution required to meet the …
arithmetic operations per second form part of today's essential solution required to meet the …