Adapted MLP-Mixer network based on crossbar arrays of fast and multilevel switching (Co–Fe–B)x(LiNbO3)100−x nanocomposite memristors
Literature Information
Pavel S. Slepov, Kristina E. Nikiruy
MLP-Mixer based on multilayer perceptrons (MLPs) is a novel architecture of a neuromorphic computing system (NCS) introduced for image classification tasks without convolutional layers. Its software realization demonstrates high classification accuracy, although the number of trainable weights is relatively low. One more promising way of improving the NCS performance, especially in terms of power consumption, is its hardware realization using memristors. Therefore, in this work, we proposed an NCS with an adapted MLP-Mixer architecture and memristive weights. For this purpose, we used a passive crossbar array of (Co–Fe–B)x(LiNbO3)100−x memristors. Firstly, we studied the characteristics of such memristors, including their minimal resistive switching time, which was extrapolated to be in the picosecond range. Secondly, we created a fully hardware NCS with memristive weights that are capable of classification of simple 4-bit vectors. The system was shown to be robust to noise introduction in the input patterns. Finally, we used experimental memristive characteristics to simulate an adapted MLP-Mixer architecture that demonstrated a classification accuracy of (94.7 ± 0.3)% on the Modified National Institute of Standards and Technology (MNIST) dataset. The obtained results are the first steps toward the realization of memristive NCS with a promising MLP-Mixer architecture.
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Nanoscale Horizons

Nanoscale Horizons is a leading journal for the publication of exceptionally high-quality, innovative nanoscience and nanotechnology. The journal places an emphasis on original research that demonstrates a new concept or a new way of thinking (a conceptual advance), rather than primarily reporting technological improvements. However, outstanding articles featuring truly breakthrough developments such as record performance alone may also be published in the journal. For work to be published it must be of significant general interest to our community-spanning readership. Topics covered in the journal include, but are not limited to: Synthesis of nanostructured and nanoscale materials Quantum materials 2D materials Layered materials Layered quantum materials Characterisation of functional nanoscale materials and bio-assemblies Properties of nanoscale materials Self-assembly and molecular organisation Complex hybrid nanostructures Nanocomposites, nanoparticles, nanocrystalline materials, and nanoclusters Nanotubes, molecular nanowires and nanocrystals Molecular nanoscience Nanocatalysis Theoretical modelling Single-molecules Plasmonics Nanoelectronics and molecular electronics Nanophotonics Nanochips, nanosensors, nanofluidics and nanofabrication Carbon-based nanoscale materials and devices Biomimetic materials Nanobiotechnology/bionanomaterials Nanomedicine Regulatory approaches and risk assessment










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