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Peng Tang, Junlong Chen, Tian Qiu, Honglong Ning, Xiao Fu, Muyun Li, Zuohui Xu, Dongxiang Luo, Rihui Yao and Junbiao Peng
Flexible electronic devices have received great attention in the fields of foldable electronic devices, wearable electronic devices, displays, actuators, synaptic bionics and so on. Among them, high-performance flexible memory for information storage and...
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Ying-Chen Chen, Yifu Huang, Sumant Sarkar, John Gibbs and Jack Lee
In this study, a direct-grown helical-shaped tungsten-oxide-based (h-WOx) selection device is presented for emerging memory applications. The selectivity in the selection devices is from 10 to 103 with a low off-current of 0.1 to 0.01 nA. In addition, th...
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Daniel Reiser, Peter Reichel, Stefan Pechmann, Maen Mallah, Maximilian Oppelt, Amelie Hagelauer, Marco Breiling, Dietmar Fey and Marc Reichenbach
In embedded applications that use neural networks (NNs) for classification tasks, it is important to not only minimize the power consumption of the NN calculation, but of the whole system. Optimization approaches for individual parts exist, such as quant...
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Mohammad Nasim Imtiaz Khan, Shivam Bhasin, Bo Liu, Alex Yuan, Anupam Chattopadhyay and Swaroop Ghosh
Emerging Non-Volatile Memories (NVMs) such as Magnetic RAM (MRAM), Spin-Transfer Torque RAM (STTRAM), Phase Change Memory (PCM) and Resistive RAM (RRAM) are very promising due to their low (static) power operation, high scalability and high performance. ...
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Tommaso Zanotti, Francesco Maria Puglisi and Paolo Pavan
Different in-memory computing paradigms enabled by emerging non-volatile memory technologies are promising solutions for the development of ultra-low-power hardware for edge computing. Among these, SIMPLY, a smart logic-in-memory architecture, provides h...
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Fernando Leonel Aguirre, Nicolás M. Gomez, Sebastián Matías Pazos, Félix Palumbo, Jordi Suñé and Enrique Miranda
In this paper, we extend the application of the Quasi-Static Memdiode model to the realistic SPICE simulation of memristor-based single (SLPs) and multilayer perceptrons (MLPs) intended for large dataset pattern recognition. By considering ex-situ traini...
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Chih-Yi Liu, Chun-Hung Lai, Chao-Cheng Lin and Chih-Peng Yang
A Cu/SiO2/Pt structure is usually used to study the resistive memory properties of an electrochemical resistive random access memory. It can be reversibly switched between low- and high-resistance states by using DC voltages in the atmosphere. However, i...
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Mohammad Nasim Imtiaz Khan and Swaroop Ghosh
Several promising non-volatile memories (NVMs) such as magnetic RAM (MRAM), spin-transfer torque RAM (STTRAM), ferroelectric RAM (FeRAM), resistive RAM (RRAM), and phase-change memory (PCM) are being investigated to keep the static leakage within a toler...
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