Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Memristive Devices and Systems: Modelling, Properties & Applications

Memristive Devices and Systems: Modelling, Properties & Applications

Lai, Chun Sing
Dong, Zhekang
Qi, Donglian

Hardcover

Technology & Engineering

ISBN10: 3036566880
ISBN13: 9783036566887
Publisher: Mdpi Ag
Published: Feb 20 2023
Pages: 198
Weight: 1.39
Height: 0.69 Width: 6.69 Depth: 9.61
Language: English

This reprint presents the Special Issue on Memristive Devices and Systems: Modeling, Properties, and Applications. The Special Issue provides a comprehensive overview of key computational primitives enabled by these memory devices, as well as their applications, spanning edge computing, signal processing, optimization, machine learning, deep learning, stochastic computing, and so on. The memristor is considered to be a promising candidate for next-generation computing systems due to its nonvolatility, high density, low power, nanoscale geometry, nonlinearity, binary/multiple memory capacity, and negative differential resistance. Novel computing architectures/systems based on memristors have shown great potential to replace the traditional von Neumann computing architecture, which faces data movement challenges. With the development of material science, novel preparation and modeling methods for different memristive devices have been put forward recently, which opens up a new path for realizing different computing systems/architectures with practical memristor properties.

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