Neuromorphic computing using non-volatile memory
Dense crossbar arrays of non-volatile memory (NVM) devices represent one possible path
for implementing massively-parallel and highly energy-efficient neuromorphic computing …
for implementing massively-parallel and highly energy-efficient neuromorphic computing …
Memristive crossbar arrays for storage and computing applications
The emergence of memristors with potential applications in data storage and artificial
intelligence has attracted wide attentions. Memristors are assembled in crossbar arrays with …
intelligence has attracted wide attentions. Memristors are assembled in crossbar arrays with …
Li-ion synaptic transistor for low power analog computing
Nonvolatile redox transistors (NVRTs) based upon Li-ion battery materials are demonstrated
as memory elements for neuromorphic computer architectures with multi-level analog …
as memory elements for neuromorphic computer architectures with multi-level analog …
Anatomy of Ag/Hafnia-based selectors with 10 10 nonlinearity
We developed a novel Ag/oxide-based threshold switching device with attractive features
including≈ 1010 nonlinearity. Furthermore, in a high-resolution transmission electron …
including≈ 1010 nonlinearity. Furthermore, in a high-resolution transmission electron …
Threshold switching of Ag or Cu in dielectrics: materials, mechanism, and applications
Threshold switches with Ag or Cu active metal species are volatile memristors (also termed
diffusive memristors) featuring spontaneous rupture of conduction channels. The temporal …
diffusive memristors) featuring spontaneous rupture of conduction channels. The temporal …
Multiscale co-design analysis of energy, latency, area, and accuracy of a ReRAM analog neural training accelerator
MJ Marinella, S Agarwal, A Hsia… - IEEE Journal on …, 2018 - ieeexplore.ieee.org
Neural networks are an increasingly attractive algorithm for natural language processing
and pattern recognition. Deep networks with> 50 M parameters are made possible by …
and pattern recognition. Deep networks with> 50 M parameters are made possible by …
High‐Uniformity Threshold Switching HfO2‐Based Selectors with Patterned Ag Nanodots
High‐performance selector devices are essential for emerging nonvolatile memories to
implement high‐density memory storage and large‐scale neuromorphic computing. Device …
implement high‐density memory storage and large‐scale neuromorphic computing. Device …
Design of a controllable redox‐diffusive threshold switching memristor
Y Sun, C Song, S Yin, L Qiao, Q Wan… - Advanced Electronic …, 2020 - Wiley Online Library
With the rapid development of information technique in the big‐data era, there is an
extremely urgent demand for new circuit building blocks, represented by resistive switching …
extremely urgent demand for new circuit building blocks, represented by resistive switching …
Performance‐enhancing selector via symmetrical multilayer design
Two‐terminal selectors with high nonlinearity, based on bidirectional threshold switching
(TS) behaviors, are considered as a crucial element of crossbar integration for emerging …
(TS) behaviors, are considered as a crucial element of crossbar integration for emerging …
Multi-terminal ionic-gated low-power silicon nanowire synaptic transistors with dendritic functions for neuromorphic systems
Neuromorphic computing systems have shown powerful capability in tasks, such as
recognition, learning, classification and decision-making, which are both challenging and …
recognition, learning, classification and decision-making, which are both challenging and …