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 …
Review of memristor devices in neuromorphic computing: materials sciences and device challenges
The memristor is considered as the one of the promising candidates for next generation
computing systems. Novel computing architectures based on memristors have shown great …
computing systems. Novel computing architectures based on memristors have shown great …
[HTML][HTML] Resistive switching phenomena: A review of statistical physics approaches
Resistive switching (RS) phenomena are reversible changes in the metastable resistance
state induced by external electric fields. After discovery∼ 50 years ago, RS phenomena …
state induced by external electric fields. After discovery∼ 50 years ago, RS phenomena …
Nonvolatile memories based on graphene and related 2D materials
The pervasiveness of information technologies is generating an impressive amount of data,
which need to be accessed very quickly. Nonvolatile memories (NVMs) are making inroads …
which need to be accessed very quickly. Nonvolatile memories (NVMs) are making inroads …
Memory effects in complex materials and nanoscale systems
Memory effects are ubiquitous in nature and are particularly relevant at the nanoscale where
the dynamical properties of electrons and ions strongly depend on the history of the system …
the dynamical properties of electrons and ions strongly depend on the history of the system …
Resistive-based gas sensors for detection of benzene, toluene and xylene (BTX) gases: a review
Benzene, toluene, and xylene gases, which are known collectively as BTX gases, are
volatile organic compounds (VOCs) that are used extensively in many industrial products …
volatile organic compounds (VOCs) that are used extensively in many industrial products …
Challenges in materials and devices for resistive-switching-based neuromorphic computing
This tutorial describes challenges and possible avenues for the implementation of the
components of a solid-state system, which emulates a biological brain. The tutorial is …
components of a solid-state system, which emulates a biological brain. The tutorial is …
Oxide-based RRAM materials for neuromorphic computing
XL Hong, DJJ Loy, PA Dananjaya, F Tan… - Journal of materials …, 2018 - Springer
In this review, a comprehensive survey of different oxide-based resistive random-access
memories (RRAMs) for neuromorphic computing is provided. We begin with the history of …
memories (RRAMs) for neuromorphic computing is provided. We begin with the history of …
[PDF][PDF] Anatomy of a nanoscale conduction channel reveals the mechanism of a high-performance memristor
Present memory technologies, including DRAM (dynamic random access memory), SRAM
(static random access memory), and flash, are potentially approaching their scalability limits …
(static random access memory), and flash, are potentially approaching their scalability limits …
Dynamic evolution of conducting nanofilament in resistive switching memories
Resistive random access memory (ReRAM) has been considered the most promising next-
generation nonvolatile memory. In recent years, the switching behavior has been widely …
generation nonvolatile memory. In recent years, the switching behavior has been widely …