ArticleNature communications2023
On-chip phonon-magnon reservoir for neuromorphic computing.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The trial behind it
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Who cites it
6 citing papers in PubMed.
- Electric-field switching of g-wave phonon chirality in ferroelectric BaTiONature materials · 2026Article
- Operando microscopy for neuromorphic hardware.Nature materials · 2026Review
- Retina-Inspired Bi-Based Terahertz Photonic Neuromorphic Devices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Dispersion-tunable low-loss implanted spin-wave waveguides for large magnonic networks.Nature materials · 2025Article
- Role of spin-orbit coupling in spin-to-lattice energy conversion in ferrite nanoparticles.Scientific reports · 2025Article
- Ultrafast magnetoacoustics in Galfenol nanostructures.Photoacoustics · 2023Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Reservoir computing is a concept involving mapping signals onto a high-dimensional phase space of a dynamical system called "reservoir" for subsequent recognition by an artificial neural network. We implement this concept in a nanodevice consisting of a sandwich of a semiconductor phonon waveguide and a patterned ferromagnetic layer. A pulsed write-laser encodes input signals into propagating phonon wavepackets, interacting with ferromagnetic magnons. The second laser reads the output signal reflecting a phase-sensitive mix of phonon and magnon modes, whose content is highly sensitive to the write- and read-laser positions. The reservoir efficiently separates the visual shapes drawn by the write-laser beam on the nanodevice surface in an area with a size comparable to a single pixel of a modern digital camera. Our finding suggests the phonon-magnon interaction as a promising hardware basis for realizing on-chip reservoir computing in future neuromorphic architectures.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.