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Run your analysis now →Acoustic metamaterials and metasurfaces use engineered sub-wavelength structures — resonators, folded beams, phononic lattices — to control sound in ways bulk materials cannot, notably low-frequency absorption and band-gap formation in a footprint far thinner than a quarter-wavelength panel. The patent record captured here spans 66 families published between 2015 and mid-2026, concentrated almost entirely under the G10K acoustics subclass with smaller overlaps into radar/sonar positioning, vibration generation, additive manufacturing and road/rail noise barriers.
Filing activity is recent and uneven rather than a steady climb: a handful of families before 2020, a visible build to a 2025 peak, and a 2026 count that is necessarily partial given typical 18-month publication lag. Reading the most recent year as a slowdown would be premature; reading it as proof of sustained momentum would be equally premature.
Pick a task. Every answer cites the patents behind it.
The two views below separate when families were filed from what they claim. Together they show a field that is still young in filing volume but already spilling from core acoustics into adjacent IPC classes.
From 2 families in 2017 to a midpoint of 5 in 2022, then up to a peak of 15 in 2025 — most of the dataset's activity sits in the last few years, and the 2026 figure will rise as later filings publish.
65 of the records classify under G10K acoustics and sound generation, essentially the whole dataset. Secret/jamming communication, radar/sonar, surgical diagnosis, vibration generation, plastics shaping, additive manufacturing and road/rail accessories each appear only 3-6 times, marking narrow application inroads rather than parallel technology bases.
Shares are the percentage of the 66 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about acoustic metamaterials and metasurfaces and every answer comes back with the patent numbers behind it.
Try EurekaA method, system, and apparatus for fabricating an acoustic metamaterial is provided. In an embodiment, a method for fabricating an acoustic metamaterial includes determining at least one tuned physical property for each of a plurality of micro-resonators according to a desired acoustic property of the acoustic metamaterial. For a particular physical property, a value of the tuned physical property for at least one of the plurality of micro-resonators is different from a value of the tuned physical property for at least one other of the plurality of micro-resonators. The method also includes additively forming the acoustic metamaterial such that the acoustic metamaterial comprises a first structure.Filed by National Technology & Engineering Solutions of Sandia, LLC; published 2022-11-15.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20180166062A1 | Acoustic metamaterial | 33 |
| 2 | CN108492815A | 具有宽幅低频带隙特性的折叠梁式声子晶体 | 18 |
| 3 | US11498282B1 | Computationally optimized and manufactured acoustic metamaterials | 15 |
| 4 | CN112530395A | 一种低频宽带压电声学超材料布局结构及布局方法 | 11 |
| 5 | CN110880312A | 一种水下亚波长局域共振型声学超材料 | 11 |
| 6 | GB2482714A | Sonic crystal noise barrier | 11 |
| 7 | CN110021287A | 一种声学超材料 | 10 |
| 8 | US20210393238A1 | System and method for rendering objects transparent to ultrasound | 8 |
| 9 | CN110491360A | 一种基于磁固耦合的环状多振子主动声学超材料 | 8 |
| 10 | US11640816B1 | Metamaterial acoustic impedance matching device for headphone-type devices | 7 |
Citation counts inside a searched corpus favour older, earlier-published records — treat them as a signal of influence on later filers, not as a ranking of current technical importance.
Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Each row carries its publication number; clicking a row searches Eureka by that number.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →Three patterns in this dataset matter more than the headline family count when deciding where to file next.
More than half of all published records in this dataset entered through the Chinese patent office, versus 17 through the United States and single-digit counts everywhere else. A filer targeting global freedom-to-operate needs China-side clearance first, not as an afterthought.
The most-cited record, US20180166062A1, sits well above the rest of the dataset on citation count, with a cluster of Chinese folded-beam and piezoelectric designs following behind. New entrants should expect examiners to cite these as baseline prior art.
Universities and research institutes that built up filing counts in prior years — spanning both Chinese and US institutions — show no filings in the most recent year tracked. Given normal publication lag, this is as likely to reflect pending unpublished applications as an actual pullback.
Unlike more mature metamaterial fields that spread across multiple core IPC classes, this dataset's crossover into radar, medical diagnosis, additive manufacturing and road barriers remains small — 3 to 6 records each — suggesting those applications are early and still open.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to acoustic metamaterials and metasurfaces, with the prior art for and against each one.
No single assignee dominates this dataset outright; filing is spread across Chinese and US universities and a smaller set of research institutes, with collaboration pairs that hint at where future joint filings may cluster.
The strongest co-assignee link pairs two UK institutions, alongside a Chinese university-institute pairing and a UK university filing with an individual inventor. Collaboration filing is the exception rather than the rule in this dataset.
Sandia's family ties acoustic property targets to additive-manufacturing process steps for micro-resonator arrays, positioning it at the fabrication end of the field rather than pure material design.
Institutions including Northwestern Polytechnical University, Harbin Engineering University, Hunan University, the University of California Regents and Xi'an Jiaotong University each show zero filings in the latest tracked year after previously appearing among top filers.
| Assignee | Recent year | YoY |
|---|---|---|
| Northwestern Polytechnical University | 0 | -100% |
| Harbin Engineering University | 0 | -100% |
| THE RES FOUNDATION FOR THE STATE UNIV OF NEW YORK | 0 | — |
| Hunan University | 0 | -100% |
| The Regents of the University of California | 0 | -100% |
| Xi'an Jiaotong University | 0 | -100% |
| The Open University | 0 | — |
| The Research Foundation for the State University of New York | 0 | — |
This landscape frames the filing pattern; deciding where to file or challenge requires drilling into specific claim language and citation chains.
Pull independent claims from the most-cited records to see exactly what geometry, frequency range or fabrication step each one locks up before drafting around them.
Explore claims in EurekaConfirm whether the zero-filing latest year across leading assignees is a real pullback or a publication-lag artefact by checking pending applications.
Run a live assignee searchDraft a sample claim in ventilated-barrier or underwater sub-wavelength design and check it against the existing family set for overlap.
Check white space in EurekaThis dataset captures 66 published patent families between 2015 and mid-2026, filtered to acoustic metamaterial, metasurface and sonic crystal filings that also address band-gap, low-frequency absorption, sub-wavelength structure or ventilated barrier claims. That is a relatively small, tightly scoped field compared to broader acoustics categories. The true figure is somewhat higher because publication typically lags filing by around 18 months, so the most recent year is always undercounted at the time of any snapshot.
Filing is spread across a mix of Chinese and US universities and research institutes rather than concentrated in one or two dominant players, with China's patent office receiving more than half of all records in this dataset. Notably, the assignees who appear most often historically — including several Chinese and US universities — all show zero filings in the latest tracked year, a pattern worth verifying against pending applications rather than treating as a confirmed exit. A national lab, Sandia, holds one of the more heavily cited manufacturing-process families.
Nearly all records in this dataset classify under G10K, the acoustics and sound generation IPC subclass, with folded-beam phononic crystals, piezoelectric low-frequency broadband layouts and sub-wavelength local-resonance structures appearing repeatedly among the most-cited families. Crossover into radar/sonar, medical diagnosis, additive manufacturing and road or rail noise barriers exists but remains small, at 3 to 6 records each. That imbalance suggests the underlying acoustic theory is well-trodden while its application into adjacent industries is comparatively unclaimed.
The clearest gaps sit in application areas with only a handful of filings against a much larger acoustics-native base: ventilated sound-barrier geometries, underwater sub-wavelength resonators, and 3D-printed micro-resonator arrays combining additive manufacturing with tuned resonator design. These branches show real citation activity in the top-cited list but shallow overall filing density, meaning a well-drafted claim there faces less crowded prior art than a claim on core band-gap resonator geometry. Any white-space read should be paired with a fresh claim-by-claim check, since a thin count can also mean a niche nobody wants rather than one nobody has tried.
The 2025 peak of 15 families is the highest point in the tracked trend, up from a midpoint of 5 filings in 2022 and just 2 in 2017, showing genuine recent growth rather than early-stage noise. The apparent drop in 2026 is very likely a publication-lag effect rather than a real slowdown, since patent applications typically take about 18 months to publish and this dataset's cut-off is mid-2026. Readers should treat the 2026 figure as a floor, not a final count, and revisit the trend once a full year of filings has had time to publish.
Go past this page: query the whole acoustic metamaterials and metasurfaces corpus yourself, in your own scope.
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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.