Evidence map›Paper›PMID 42288496›Full record

ArticleNature communications2026

Generation of ultra-broadband frequency comb in strongly bistable nonlinear magnonic resonator.

Yu Jiang, Vasyl Tyberkevych, Yizhong Huang, Zixin Yan, Amin Pishehvar, Andrei Slavin, Xufeng Zhang

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yu JiangDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA.
Vasyl TyberkevychDepartment of Physics, Oakland University, Rochester, MI, USA.
Yizhong HuangDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA.ORCID http://orcid.org/0000-0003-3909-8685
Zixin YanDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA.ORCID http://orcid.org/0009-0008-5507-0803
Amin PishehvarDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA.
Andrei SlavinDepartment of Physics, Oakland University, Rochester, MI, USA.ORCID http://orcid.org/0000-0002-1628-9326
Xufeng ZhangDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA. xu.zhang@northeastern.edu.ORCID http://orcid.org/0000-0001-9492-4244

Funding

National Science Foundation (NSF) 2337713U.S. Department of Defense (United States Department of Defense) W911NF25P0003
6 · The paper itself

Abstract

Magnonic frequency combs (MFCs) offer a promising route to compact, energy-efficient platforms for on-chip coherent microwave signal generation and processing. Conventional on-chip comb generation typically relies on nonlinear resonators supporting equidistant, low-loss resonances driven by a monochromatic signal, resulting in fixed comb spacing. Here we introduce and experimentally demonstrate a distinct mechanism for ultra-broadband MFC generation using a highly nonlinear miniaturized magnonic resonator. The small resonator volume, combined with a slow-wave transducer, drives the system deep into the bistable regime where parametric excitation of propagating spin waves facilitates comb formation. Our approach yields over 350 comb lines spanning a 450 MHz bandwidth, with spacing continuously tunable via a two-tone external drive, representing an order-of-magnitude enhancement over prior reports at relatively low power. The platform is ultra-compact, scalable, and highly tunable, establishing a distinct frequency comb paradigm with transformative opportunities in microwave signal processing, neuromorphic computing, and precision sensing.

Identifiers

PMID42288496
PMCPMC13408486

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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.