Variability in resistive memories
Resistive memories are outstanding electron devices that have displayed a large potential in
a plethora of applications such as nonvolatile data storage, neuromorphic computing …
a plethora of applications such as nonvolatile data storage, neuromorphic computing …
Stimuli‐responsive memristive materials for artificial synapses and neuromorphic computing
Neuromorphic computing holds promise for building next‐generation intelligent systems in a
more energy‐efficient way than the conventional von Neumann computing architecture …
more energy‐efficient way than the conventional von Neumann computing architecture …
[HTML][HTML] Brain-inspired computing with memristors: Challenges in devices, circuits, and systems
This article provides a review of current development and challenges in brain-inspired
computing with memristors. We review the mechanisms of various memristive devices that …
computing with memristors. We review the mechanisms of various memristive devices that …
Variability-aware modeling of filamentary oxide-based bipolar resistive switching cells using SPICE level compact models
C Bengel, A Siemon, F Cüppers… - … on Circuits and …, 2020 - ieeexplore.ieee.org
Bipolar resistive switching (BRS) cells based on the valence change mechanism show great
potential to enable the design of future non-volatile memory, logic and neuromorphic circuits …
potential to enable the design of future non-volatile memory, logic and neuromorphic circuits …
Monolithic 3D integration of 2D transistors and vertical RRAMs in 1T–4R structure for high-density memory
Emerging data-intensive computation has driven the advanced packaging and vertical
stacking of integrated circuits, for minimized latency and energy consumption. Yet a …
stacking of integrated circuits, for minimized latency and energy consumption. Yet a …
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 …
A collective study on modeling and simulation of resistive random access memory
In this work, we provide a comprehensive discussion on the various models proposed for the
design and description of resistive random access memory (RRAM), being a nascent …
design and description of resistive random access memory (RRAM), being a nascent …
Low‐power computing with neuromorphic engineering
The increasing power consumption in the existing computation architecture presents grand
challenges for the performance and reliability of very‐large‐scale integrated circuits …
challenges for the performance and reliability of very‐large‐scale integrated circuits …
Structural and parametric identification of knowm memristors
This paper proposes a novel identification method for memristive devices using Knowm
memristors as an example. The suggested identification method is presented as a …
memristors as an example. The suggested identification method is presented as a …
A data-driven verilog-a reram model
The translation of emerging application concepts that exploit resistive random access
memory (ReRAM) into large-scale practical systems requires realistic yet computationally …
memory (ReRAM) into large-scale practical systems requires realistic yet computationally …