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Published in 2020 at "iScience"
DOI: 10.1016/j.isci.2020.101846
Abstract: Neuromorphic devices and systems have attracted attention as next-generation computing due to their high efficiency in processing complex data. So far, they have been demonstrated using both machine-learning software and complementary metal-oxide-semiconductor-based hardware. However, these…
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Keywords:
materials neuromorphic;
neuromorphic devices;
emerging materials;
devices systems ... See more keywords
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Published in 2020 at "Nature Nanotechnology"
DOI: 10.1038/s41565-020-0647-z
Abstract: Memristive and nanoionic devices have recently emerged as leading candidates for neuromorphic computing architectures. While top-down fabrication based on conventional bulk materials has enabled many early neuromorphic devices and circuits, bottom-up approaches based on low-dimensional…
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Keywords:
dimensional nanomaterials;
neuromorphic devices;
nanoelectronic materials;
low dimensional ... See more keywords
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Published in 2021 at "Journal of Semiconductors"
DOI: 10.1088/1674-4926/42/1/010301
Abstract: In recent years, deep learning has made tremendous achievements in computer vision, natural language processing, man-machine games and so on, where artificial intelligence can reach or go beyond the level of human beings. However, behind…
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Keywords:
intelligence;
neuromorphic devices;
deep learning;
era neuromorphic ... See more keywords
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Published in 2022 at "Science Advances"
DOI: 10.1126/sciadv.abj7866
Abstract: Conductive-bridging random access memory (CBRAM) has garnered attention as a building block of non–von Neumann architectures because of scalability and parallel processing on the crossbar array. To integrate CBRAM into the back-end-of-line (BEOL) process, amorphous…
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Keywords:
neuromorphic devices;
layer;
multilevel memristive;
based amorphous ... See more keywords
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Published in 2020 at "Mrs Bulletin"
DOI: 10.1557/mrs.2020.196
Abstract:
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Keywords:
neuromorphic devices;
organic neuromorphic;
devices past;
present future ... See more keywords
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Published in 2021 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2021.690950
Abstract: Neuromorphic devices that can emulate the bionic sensory and perceptual functions of neural systems have great applications in personal healthcare monitoring, neuro-prosthetics, and human–machine interfaces. In order to realize bionic sensing and perception, it’s crucial…
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Keywords:
bionic sensing;
devices bionic;
neuromorphic devices;
sensing perception ... See more keywords