Results 1 to 10 of about 9,400 (115)
Soft and flexible: core-shell ionic liquid resistive memory for electronic synapses [PDF]
Microsystems & Nanoengineering, 2021 The human brain is the most efficient computational and intelligent system, and researchers are trying to mimic the human brain using solid-state materials.
Muhammad Umair Khan +5 more
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Self-rectifying resistive memory in passive crossbar arrays [PDF]
Nature Communications, 2021 Memory-centric computing refers to computing designs where the memory, rather than the processor is central in the architecture. Here, the authors demonstrate a self-rectifying resistive memory cell that exhibits impressive endurance, and low power ...
Kanghyeok Jeon +7 more
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Pruning random resistive memory for optimizing analog AI [PDF]
Nature CommunicationsThe rapid expansion of AI models has intensified concerns over energy consumption. Analog in-memory computing with resistive memory offers a promising, energy-efficient alternative, yet its practical deployment is hindered by programming challenges and ...
Yi Li +22 more
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Molecular Design Toward High‐Performance Solution‐Processable Push–Pull Zinc(II) Porphyrin‐Based Resistive Memory Devices: From Binary to Ternary Memory Behavior [PDF]
Small ScienceA series of zinc(II) porphyrin‐based donor−acceptor (D–A) decorated complexes has been designed, synthesized, characterized, and employed to fabricate solution‐processable resistive memory devices.
Ka Wai Kwong +5 more
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Ratio-based multi-level resistive memory cells [PDF]
Scientific Reports, 2021 Ratio-based encoding has recently been proposed for single-level resistive memory cells, in which the resistance ratio of a pair of resistance-switching devices, rather than the resistance of a single device (i.e.
Miguel Angel Lastras-Montaño +5 more
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Spike-time dependent plasticity of tailored ZnO nanorod-based resistive memory for synaptic learning
Journal of Science: Advanced Materials and Devices, 2023 Metal oxide resistive memory is a potential device that can substantially influence the current roadmap for nonvolatile memory and neuromorphic computing.
Shubham V. Patil +9 more
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Global Challenges, 2022 In this study, a different number of indium zinc oxide (IZO) interlayers are fabricated into Al2O3‐based transparent resistive switching memory on a transparent indium tin oxide (ITO)/glass substrate at room temperature.
Jaemin Park +5 more
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Advanced Intelligent Systems, 2022 Crossbars of resistive memories, or memristors, provide a road to reduce the energy consumption of artificial neural networks, by naturally implementing multiply accumulate operations, their most basic calculations.
Eduardo Esmanhotto +6 more
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Ex Situ Transfer of Bayesian Neural Networks to Resistive Memory‐Based Inference Hardware
Advanced Intelligent Systems, 2021 Neural networks cannot typically be trained locally in edge‐computing systems due to severe energy constraints. It has, therefore, become commonplace to train them “ex situ” and transfer the resulting model to a dedicated inference hardware.
Thomas Dalgaty +4 more
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Enhanced resistive switching performance in bilayer Pt/TiO2/Co3O4/Pt memory device
Materials Research Express, 2021 In this work, the bilayer Pt/TiO _2 /Co _3 O _4 /Pt and single-layer Pt/TiO _2 /Pt memory devices were fabricated for investigating their resistive switching characteristics.
Lilan Zou, Jianmei Shao, Dinghua Bao
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