ArticleNature materials2025
Dispersion-tunable low-loss implanted spin-wave waveguides for large magnonic networks.
Article in Nature materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Nanoworld of terahertz magnetism opening new frontiers.Newton ((New York, N.Y.) · 2026Review
- Ultralong-living magnons in the quantum limit.Science advances · 2026Article
- Towards spin-wave integrated circuits.Nature materials · 2025Article
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
Magnonic networks based on magnetic insulators are poised to revolutionize information processing due to their energy efficiency. However, current experimental realizations of spin-wave waveguides, which constitute the building blocks of such a network, suffer from limited spin-wave propagation lengths and inefficient dispersion tuning capabilities. Here we realize low-loss spin-wave waveguides in yttrium iron garnet thin films using silicon ion implantation, which creates an amorphous waveguide cladding. We measure spin-wave decay lengths exceeding 100 µm in submicrometre waveguides. The dispersion of the waveguides can be continuously tuned due to the precise and localized ion implantation, which sets them apart from commonly etched waveguides. Using our maskless waveguide definition, we demonstrate a large-scale magnonic network consisting of 198 crossings, paving the way for wafer-scale magnonic integrated circuits.
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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.