Memristor-based analogue computing for brain-inspired sound localization with in situ training
The human nervous system senses the physical world in an analogue but efficient way. As a
crucial ability of the human brain, sound localization is a representative analogue computing …
crucial ability of the human brain, sound localization is a representative analogue computing …
Self-compliance and high-performance GeTe-based CBRAM with Cu electrode
J Zhao, Q Chen, X Zhao, G Yang, G Ma, H Wang - Microelectronics Journal, 2023 - Elsevier
Conductive bridging random access memory (CBRAM) has been considered as a promising
candidate for next-generation non-volatile memory. However, there are always problems of …
candidate for next-generation non-volatile memory. However, there are always problems of …
Methodology for the characterization and observation of filamentary spots in HfOx-based memristor devices
S Poblador, M Maestro-Izquierdo, M Zabala… - Microelectronic …, 2020 - Elsevier
Abstract Filamentary TiN/Ti/HfO 2/W resistive switching devices were fabricated and
electrically measured setting them in different resistance and degradation conditions. The …
electrically measured setting them in different resistance and degradation conditions. The …
Adaptive programming in multi-level cell ReRAM
M Ramadan, N Wainstein, R Ginosar… - Microelectronics Journal, 2019 - Elsevier
Resistive memory (ReRAM) is an attractive technology to replace Flash technology and/or
serve as a new memory tier. When a fixed programming voltage is applied to the resistive …
serve as a new memory tier. When a fixed programming voltage is applied to the resistive …
BNN an ideal architecture for acceleration with resistive in memory computation
Binary Neural Networks (BNN) have binarized (-1 and 1) weights and feature maps.
Achieving smaller model sizes and computational simplicity, they are well suited for edge-AI …
Achieving smaller model sizes and computational simplicity, they are well suited for edge-AI …
[HTML][HTML] On the Asymmetry of Resistive Switching Transitions
In this study, the resistive switching phenomena in TiN/Ti/HfO2/Ti metal–insulator–metal
stacks is investigated, mainly focusing on the analysis of set and reset transitions. The …
stacks is investigated, mainly focusing on the analysis of set and reset transitions. The …
Memristors: A journey from material engineering to beyond von-neumann computing
C de Souza Dias, PF Butzen - Journal of Integrated Circuits and Systems, 2021 - jics.org.br
Memristors are a promising building block to the next generation of computing systems.
Since 2008, when the physical implementation of a memristor was first postulated, the …
Since 2008, when the physical implementation of a memristor was first postulated, the …
Low Power and Ultrafast Multi-State Switching in nc-Al Induced Al2O3/AlxOy Bilayer Thin Film RRAM Device
W Zhu, J Li, X Xu, L Zhang, Y Zhao - IEEE Access, 2020 - ieeexplore.ieee.org
Low power and ultrafast multi-state storage resistive switching memory (RRAM) device had
been developed based on Al/Al 2 O 3/Al x O y/Al structure. Both of Al 2 O 3 and Al …
been developed based on Al/Al 2 O 3/Al x O y/Al structure. Both of Al 2 O 3 and Al …
Model Inference Optimization on ReRAM-Based Accelerators with Intra-and Inter-OU Similarity
T Li, Q Zhao - 2024 2nd International Symposium of Electronics …, 2024 - ieeexplore.ieee.org
Computing-In-Memory (CIM) technology is promising for DNN inference acceleration, in
which ReRAM-based crossbars have received extensive attention in various aspects …
which ReRAM-based crossbars have received extensive attention in various aspects …
Time-domain writing architecture for multilevel RRAM cells resilient to temperature and process variations
A de Gracia Herranz, M Lopez-Vallejo - Integration, 2020 - Elsevier
The high potential of memristors as multilevel resistance devices is undermined by their
highly non-linear behaviour and a strong dependency on different sources of variability …
highly non-linear behaviour and a strong dependency on different sources of variability …