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A compute-in-memory chip based on resistive random-access memory
Realizing increasingly complex artificial intelligence (AI) functionalities directly on edge devices calls for unprecedented energy efficiency of...
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Monolithic three-dimensional integration of RRAM-based hybrid memory architecture for one-shot learning
In this work, we report the monolithic three-dimensional integration (M3D) of hybrid memory architecture based on resistive random-access memory...
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Compliance-free, analog RRAM devices based on SnOx
Brain-inspired resistive random-access memory (RRAM) technology is anticipated to outperform conventional flash memory technology due to its...
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Full hardware implementation of neuromorphic visual system based on multimodal optoelectronic resistive memory arrays for versatile image processing
In-sensor and near-sensor computing are becoming the next-generation computing paradigm for high-density and low-power sensory processing. To fulfil...
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Memristive tonotopic map** with volatile resistive switching memory devices
To reach the energy efficiency and the computing capability of biological neural networks, novel hardware systems and paradigms are required where...
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Material to system-level benchmarking of CMOS-integrated RRAM with ultra-fast switching for low power on-chip learning
Analog hardware-based training provides a promising solution to develo** state-of-the-art power-hungry artificial intelligence models. Non-volatile...
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Exploration of a wide bandgap semiconducting supramolecular Mg(II)-metallohydrogel derived from an aliphatic amine: a robust resistive switching framework for brain-inspired computing
A rapid metallohydrogelation strategy has been developed of magnesium(II)-ion using trimethylamine as a low molecular weight gelator in water medium...
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DenRAM: neuromorphic dendritic architecture with RRAM for efficient temporal processing with delays
Neuroscience findings emphasize the role of dendritic branching in neocortical pyramidal neurons for non-linear computations and signal processing....
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Multistate structures in a hydrogen-bonded polycatenation non-covalent organic framework with diverse resistive switching behaviors
The inherent structural flexibility and reversibility of non-covalent organic frameworks have enabled them to exhibit switchable multistate...
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Development of a novel self-healing Zn(II)-metallohydrogel with wide bandgap semiconducting properties for non-volatile memory device application
A rapid and effective strategy has been devised for the swift development of a Zn(II)-ion-based supramolecular metallohydrogel, termed Zn@PEH, using...
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Multi-level, forming and filament free, bulk switching trilayer RRAM for neuromorphic computing at the edge
CMOS-RRAM integration holds great promise for low energy and high throughput neuromorphic computing. However, most RRAM technologies relying on...
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Revealing the quantum nature of the voltage-induced conductance changes in oxygen engineered yttrium oxide-based RRAM devices
In this work, the quasi-analog to discrete transition occurring in the current–voltage characteristic of oxygen engineered yttrium oxide-based...
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Wafer-scale solution-processed 2D material analog resistive memory array for memory-based computing
Realization of high-density and reliable resistive random access memories based on two-dimensional semiconductors is crucial toward their development...
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Mesoscopic sliding ferroelectricity enabled photovoltaic random access memory for material-level artificial vision system
Intelligent materials with adaptive response to external stimulation lay foundation to integrate functional systems at the material level. Here, with...
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A self-adaptive hardware with resistive switching synapses for experience-based neurocomputing
Neurobiological systems continually interact with the surrounding environment to refine their behaviour toward the best possible reward. Achieving...
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Nonideal resistive and synaptic characteristics in Ag/ZnO/TiN device for neuromorphic system
Ideal resistive switching in resistive random-access memory (RRAM) should be ensured for synaptic devices in neuromorphic systems. We used an...
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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...
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Exchange bias coupling and bipolar resistive switching at room temperature on GaSb/Mn multilayers for resistive memories applications
This work present structural, morphological, magnetic, and electrical properties of GaSb/Mn multilayer deposited via DC magnetron sputtering at room...
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Self-rectifying resistive memory in passive crossbar arrays
Conventional computing architectures are poor suited to the unique workload demands of deep learning, which has led to a surge in interest in...