Results 11 to 20 of about 5,289 (241)
An RRAM Biasing Parameter Optimizer [PDF]
IEEE Transactions on Electron Devices, 2015 Research on memory devices is a highly active field, and many new technologies are being constantly developed. However, characterizing them and understanding how to bias for optimal performance are becoming an increasingly tight bottleneck. Here, we propose a novel technique for extracting biasing parameters, conducive to desirable switching behavior ...
Serb, Alexantrou +2 more
openaire +2 more sources
Resistive switching properties for fluorine doped titania fabricated using atomic layer deposition
APL Materials, 2022 This study demonstrates a new resistive switching material, F-doped TiO2 (F:TiO2), fabricated by atomic layer deposition (ALD) with an in-house fluorine source for resistive random access memory (RRAM) devices.
Minjae Kim +5 more
doaj +1 more source
Study of RRAM-Based Binarized Neural Networks Inference Accelerators Using an RRAM Physics-Based Compact Model [PDF]
, 2023 In-memory computing hardware accelerators for binarized neural networks based on resistive RAM (RRAM) memory technologies represent a promising solution for enabling the execution of deep neural network algorithms on resource-constrained devices at the ...
Zanotti, Tommaso +3 more
core +1 more source
Journal of Asian Ceramic Societies, 2020 Amorphous LaGdO3 (LGO) thin films were deposited by using RF sputtering system and unipolar resistive switching (URS) properties in the Al/LGO/ITO structure were investigated.
Chia-Shan Chien +2 more
doaj +1 more source
Sensing Circuit Design Techniques for RRAM in Advanced CMOS Technology Nodes
Micromachines, 2021 Resistive random access memory (RRAM) is one of the most promising new nonvolatile memories because of its excellent properties. Moreover, due to fast read speed and low work voltage, it is suitable for seldom-write frequent-read applications.
Donglin Zhang +12 more
doaj +1 more source
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2020 Analog compute-in-memory with resistive random access memory (RRAM) devices promises to overcome the data movement bottleneck in data-intensive artificial intelligence (AI) and machine learning.
Justin M. Correll +8 more
doaj +1 more source
A novel read circuit for RRAM based on RC delay effect
Electronics Letters, 2023 In this paper, a novel Resistive Random‐Access Memory (RRAM) read circuit has been designed and verified by simulation based on the RRAM model and parasitic capacitance of the circuit.
Jiabao Ye +7 more
doaj +1 more source
RRAM-based fault-tolerant Binary Neural Networks [PDF]
, 2021 Computation-In-Memory (CIM) employing Resistive-RAM(RRAM)-based crossbar arrays is a promising solution to implement Neural Networks (NNs) on hardware, such that they are efficient with respect to consumption of energy, memory, computational resources ...
Zografou, Artemis (author)
core
Modelling and mechanism of Resistive Random Access Memory (RRAM) [PDF]
, 2023 openLe memorie RRAM (Resistive Random Access Memories) hanno recentemente mostrato caratteristiche eccezionali come alta scalabilità, alta velocità, alta densità e funzionamento a bassa energia.
TOMAIUOLI, MARCO
core
A Cautionary Note When Looking for a Truly Reconfigurable Resistive RAM PUF
Transactions on Cryptographic Hardware and Embedded Systems, 2018 The reconfigurable physically unclonable function (PUF) is an advanced security hardware primitive, suitable for applications requiring key renewal or similar refresh functions.
Kai-Hsin Chuang +5 more
doaj +1 more source