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NotablePeer-reviewed

Scale-rich network-based metamaterials

Struts of many sizes let metamaterials combine direction-tunable stiffness with evenly spread deformation

ByCsaba Both, Andrew Y. Chen, Ting-Ting Gao, M. N. Mooij, Mohammad Charara, Jayna Wadhwa and 2 others

Northeastern University · Massachusetts Institute of Technology · Utrecht University · Brigham and Women's Hospital and 1 more

10th of 40 papers scored this week on Frontier.

What it is

Mechanical metamaterials, materials whose behaviour comes from their architecture, are usually built from repeating unit cells with one or a few length scales, while real-world networks such as the Internet or the brain vary in connectivity and link length over orders of magnitude. The authors introduce scale-rich metamaterials, generated by repeatedly growing a straight ligament (a strut) from a random point at a random angle until it meets another ligament or the boundary, with a thickness that can shrink from one ligament to the next. Governed by only two parameters, the resulting networks have ligament lengths, thicknesses and connectivity that follow power-law distributions, spanning orders of magnitude within one sample. In simulations of 2,600 distinct structures they covered 77% of the density-anisotropy map, reaching combinations the square, hexagonal and Voronoi references did not, and the authors report a 190-fold tunable range of elastic anisotropy across densities. In compression experiments on 3D-printed polymer samples, scale-rich samples of constant ligament thickness deformed without the compaction bands that formed in the square and hexagonal lattices, or the localized compaction seen in the Voronoi tessellation, through 25% strain, and under impact they gave the highest specific energy dissipation at the lowest peak force among the architectures compared. In simulations they also steered elastic waves, focusing them through a lens assembled from scale-rich cells.

Why it matters

Architected materials usually rest on one or a few length scales; this framework lets strut size and connectivity vary over orders of magnitude from two parameters. The authors note that its individual linear and nonlinear properties are not unique to scale-rich materials, and that what sets it apart is combining them: among the architectures they compared, it was the only family to span the full anisotropy range (0.2 to 0.9) while keeping deformation delocalized. They suggest uses in adaptive load-bearing structures, protective gear such as helmets, packaging and armour. In one demonstration, a scale-rich layout designed around a fragile acrylic disc suppressed the stress fringes that square and hexagonal lattices produced in it in photoelastic images, and simulations put the stress reduction at up to 4.9-fold. The authors also suggest that such materials could open questions for network science, since in abstract networks a link's length and thickness are undefined or carry no consequence.

Underlined numbers link to their source. Every metric and quoted figure is listed under Sources and data below.

Filed underAdvanced Materials and Mechanics, Cellular and Composite Structures, Acoustic Wave Phenomena Research

Scored 2026-11-14How scoring works

The Frontier Score, in full

How this entry's score is built, term by term. Open any pillar to see each sub-metric's raw value, how it maps to 0 to 100, and a link to its source (OpenAlex for most sub-metrics that combine several sources, NIH iCite where its ratio is part of field-normalized impact).
Evidence 94Impact 43Novelty 68
The three pillars as one shape: a result strong on every axis fills the triangle.
How the Frontier Score is calculated for this breakthrough
TermScoreWeightPoints
EvidenceHow established and verifiable the result is.94× 0.2523.4
ImpactHow much the result matters, judged field-relative and by current momentum.43× 0.2510.7
NoveltyHow genuinely new the result is, and how fast-moving.68× 0.5034.1
Weighted pillars68.2
Frontier recency0 months since publication× 1.00
IntegrityNot retracted× 1
Frontier Score68
Confidence: Early signal. Early signal: little citation history yet, so impact is an estimate and may shift as the work is taken up.Early signal: little citation history yet, so impact is an estimate and may shift as the work is taken up.

Every sub-metric, traced to its source

Evidence94
Evidence sub-metrics
Sub-metricRaw value0 to 100WeightPointsSource
Peer review & venueWhether the work has cleared peer review, and how selective its venue is. Peer review is necessary but not sufficient: before citations accrue, a fresh result in one of the five general flagships (Nature, Science, Cell, NEJM, the Lancet) is a stronger evidence signal than one in a selective specialist or society journal, which in turn outranks one in a legitimate but very high-volume mega-journal, and any of them outranks a preprint that has not been reviewed at all.Maps to 0 to 100: Peer-reviewed article graded by venue tier: flagship journal (Nature, Science, Cell, NEJM, the Lancet) 100; selective journal (every other journal the index admits: the specialist journals of those families, JAMA, PNAS, Physical Review Letters and X) 90; high-volume mega-journal (Nature Communications, Science Advances) 78; venue not recorded 88. Other records: review 90, book 70, dataset 60, preprint 45, an article that has not been peer reviewed 45, other 55.Peer-reviewed, flagship journal1000.3030.0OpenAlex type / primary_location / source
CorroborationIndependent corroboration that the result is on the record and reaching beyond a single source, read as the BREADTH of independent records rather than the size of the citation pile. Counts how many of the five independent citation indices (OpenAlex, Crossref, Semantic Scholar, OpenCitations, Europe PMC) report a citation count for the work at all, zero included, plus orthogonal, non-citation lines of corroboration: citation in Wikipedia, registered clinical trials or clinical citations, released datasets or software or a repository copy, public funding on record, and technical-community discussion. Citation MAGNITUDE is deliberately judged under Impact, not here, so Evidence and Impact measure genuinely different things instead of both rewarding the same citation pile twice.Maps to 0 to 100: Starts at 28 and rises by 9 for each of the five independent citation indices that returns a citation count for the work (zero counts; OpenCitations returns zero even for a DOI it does not hold) and by 6 for each orthogonal non-citation line (Wikipedia, clinical trials or clinical citations, open datasets, software or a repository copy, public funding, community discussion), up to the top of the 0-100 scale.5 of 5 citation indices report a count, 1 independent non-citation line790.3023.7OpenAlex, Crossref, Semantic Scholar, OpenCitations, Europe PMC, DataCite, NIH RePORTER, Wikipedia, Hacker News count of indices that report a count for the work + orthogonal reach
VerifiabilityHow openly the result can be read, reused, and reproduced. Rewards open access, a Creative Commons BY or CC0 license, a green repository copy anyone can archive, openly minable full text, and released datasets or software a reader can actually run. Cross-checked across OpenAlex, Unpaywall, Europe PMC, and DataCite.Maps to 0 to 100: Closed access 45; open access 88; any Creative Commons BY license (including the NC, ND and SA variants) or CC0 100. A repository copy raises the floor to 85, openly minable full text to 90, and released data or software to 92.Open access (hybrid), CC-BY-NC-ND, repository copy1000.2020.0OpenAlex, Unpaywall, Europe PMC, DataCite is_oa / license / has_repository_copy / open datasets
IntegrityRetraction and post-publication correction status. A retracted result is not evidence of anything and collapses the whole Frontier Score; a correction or expression of concern is a softer flag. A correction the publisher labels as its own error (a Publisher Correction) is not a flag on the work. Read across OpenAlex and Crossref (both update-to and updated-by notices).Maps to 0 to 100: Clean 100 (also when the only notice is a Publisher Correction); a correction or expression of concern 75; retracted 0. Flagged if OpenAlex OR Crossref records the notice.No retraction or concern on record1000.2020.0OpenAlex, Crossref is_retracted / update-to / updated-by
Impact43
Impact sub-metrics
Sub-metricRaw value0 to 100WeightPointsSource
Field-normalized impactImpact relative to the world average for the same field, year, and type, so a small field and a large field are judged fairly. Triangulates three independent field-normalized measures: OpenAlex's Field-Weighted Citation Impact, its citation percentile within the exact field-and-year cohort, and the NIH iCite Relative Citation Ratio. 1.0x is average; the percentile is the share of same-field, same-year work it out-cites.Maps to 0 to 100: Each ratio (1.0 = field average) maps 1.0 to 50, 3.0 to 75, 9.0 to 90; the field+year percentile maps directly (top 1% -> ~99). The available measures are averaged. When none is available yet (very recent work), this sub-metric is left out and Impact is computed from the others.4.7x FWCI, top 7% of field-year vs field880.4539.5OpenAlex, NIH iCite fwci / citation_normalized_percentile / relative_citation_ratio
Influential citationsCitations that genuinely build on the work rather than mention it in passing (Semantic Scholar's influential-citation measure). A sharper signal of real impact than a raw count.Maps to 0 to 100: Saturating: 15 influential citations maps to 50, and none maps to 0. When Semantic Scholar has no measure for the work, this sub-metric is left out and Impact is computed from the others.0 influential00.200.0Semantic Scholar influentialCitationCount
Citation velocityCitations received in the trailing twelve months (estimated from yearly citation counts: this year's so far plus the share of last year's that falls inside the window), judged as a rate rather than a lifetime total. Momentum is what a frontier index cares about: a result being taken up fast right now is landing, whether its lifetime pile is large or still small. Where an expected field citation rate is known, the momentum is also read relative to it, so a fast-moving result in a quiet field is not overlooked.Maps to 0 to 100: Saturating: 30 citations in the last twelve months maps to 50. When NIH iCite provides the field's expected rate, this is blended evenly with the ratio of observed to expected momentum.3 in last 12 months90.353.2OpenAlex, NIH iCite counts_by_year / field_citation_rate
Novelty68
Novelty sub-metrics
Sub-metricRaw value0 to 100WeightPointsSource
Conceptual noveltyHow genuinely new the contribution is, measured at publication from the work's OWN content, not its date: how atypical its combination of research areas is versus all prior work, and whether it builds on a broad, deep base rather than only the newest papers in a fast-moving area. This is what separates a real advance from a recent-but-commodity result, and it needs no forward citations, so it is stable for brand-new work. An honestly noisy proxy (even state-of-the-art novelty measures agree only moderately with expert judgment), so it carries bounded weight and never drives the ranking alone.Maps to 0 to 100: Two publication-time signals, each 0-100. The primary one is atypical combination: how unusual the work's median pairing of research topics is versus the prior literature, by pointwise mutual information (a pairing made far more often than chance scores low). The second, foundational reach (the median age of the work's references and the share older than five years), can only lift it: when reach is higher, the score rises by 35% of the gap, and it is never lowered. When only one signal is measurable it is used alone; when neither is (a work too thin in topics or references), this sub-metric is left out and Novelty is computed from the other three. A review is damped to 60%.Median topic pairing Cellular and Composite Structures x Acoustic Wave Phenomena Research (11,467 prior works made this pairing); builds on refs a median 8.7y deep480.4521.4OpenAlex topics + referenced_works (publication-time)
RecencyHow recently the work appeared. The frontier is now, so newer scores higher.Maps to 0 to 100: Exponential decay with a 12-month half-life from the publication date.This month990.3029.8OpenAlex publication_date
Attention accelerationWhether attention is rising: citations in the latest full year versus the year before. Accelerating interest signals an active, opening frontier.Maps to 0 to 100: Latest/prior-year ratio: 1x maps to 50, 2x to 75, 4x to 100. The prior year counts as at least 3 citations, so a jump from one citation to a few is not read as explosive growth. With no citations in the latest full year it reads as unknown, and unknown is neutral (50).Not enough history500.105.0OpenAlex counts_by_year
Edge of reviewPreprints sit ahead of the peer-review process and brand-new papers have only just cleared it. Both earn novelty here (while a preprint is discounted under Evidence), because that is where the frontier forms first.Maps to 0 to 100: Preprint 95; any other record 80 when under 6 months old, 65 under 18 months, 45 after that.Peer-reviewed record800.1512.0OpenAlex type / publication_date
ProvenanceAll sources

Sources and data

The source figures behind this entry, grouped by the source that holds them: up to five citation indices cross-checked, field-normalized impact, then real-world reach (Wikipedia, community discussion, clinical trials, released data and public funding) where it exists. Each value links to its record.

OpenAlex

Primary record
Total citations
3
Field-weighted citation impact
4.7x field average
Citation percentile
Top 7% of its field-year
Citations, recent 12 months
3
Publication date
2026-11-11

Crossref

Citations
0
Works it builds on
58

Semantic Scholar

Citations, all versions
0
Influential citations
0

OpenCitations

Citations
0

Europe PMC

Citations
0

Unpaywall

Reuse license
CC-BY-NC-ND

Figures quoted in the write-up

FigureValueSource
Design parameters of the framework (Abstract; The SR model: λt = λ0t−α, where λ0 is the initial thickness and α is the decay exponent; Fig. 1c, the two-parameter design space)Governed by only two parametersNature
Scale-rich structures simulated for the anisotropy map (Results, Fig. 2b: elastic anisotropy from finite-element homogenization)2,600 distinct SR microstructures with different α and λ0Nature
Nominal relative density in the compression experiments (Results, Fig. 3a)nominal ρ = 42%Nature
Strain up to which deformation was tracked from images (Fig. 3c legend: compaction precludes accurate Jacobian values beyond it)up to a macroscopic strain of 25%Nature
Localization relative to the Voronoi tessellation (Results: a checkerboard nucleation of ligaments lowered it to L ≤ 0.08)L ≤ 0.2 through 25% macroscopic strain, which is 37% lower than the Voronoi geometryNature
Share of the density-anisotropy map covered (Results: directed growth approaches extend the coverage to more than 96% (Supplementary Information))the SR materials cover 77% of the available area on the density–anisotropy plotNature
Tunable range of elastic anisotropy (Main text: one of the properties the authors call unattainable in single-scale systems)a 190-fold tunable range of elastic anisotropy across densitiesNature
Anisotropy range spanned while staying delocalized (Discussion, Fig. 4d: anisotropy ratio Emin/Emax at relative density 40%, against Kagome, sea-sponge, triangle, hexagonal, square, Voronoi, E-Voronoi, k-nearest and Gilbert systems)0.2 ≤ ηE ≤ 0.9Nature
Stress reduction on a protected payload (Discussion: nonlinear finite-element simulations at identical macroscopic strain, average von Mises stress on the payload against the reference geometries (Fig. 6e legend: up to 4.91); the photoelastic images are qualitative)the SR-protected payload stress is reduced by up to 4.9-foldNature
Printing resolution (Results: vat photopolymerization of an elastic-plastic polymer resin into centimetre-scale specimens)a feature resolution of approximately 100 μmNature
Ligaments per experimental sample (Results: where the homogenized mechanical properties converge and boundary effects are minimized)T = 500Nature
Relative densities printable (Results: lower fill fractions were demonstrated with two-photon lithography)20% ≤ ρ ≤ 75%Nature
Specimens per geometry in large-deformation compression (Results: the three reference geometries and SR systems with α = 0, chosen to minimize elastic anisotropy)3 specimens eachNature
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