Evidence map›Paper›PMID 41122029›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Adaptive Twisting Metamaterials.

Mattia Utzeri, Maria L Gatto, Edoardo Mancini, Donato Orlandi, Daniele Cortis, Marco Sasso, Shanmugam Kumar

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 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.

Mattia UtzeriDepartment of Industrial Engineering and Mathematical Sciences, Polytechnic University of Marche, Ancona, 60121, Italy.ORCID https://orcid.org/0000-0003-1394-9875
Maria L GattoDepartment of Industrial Engineering and Mathematical Sciences, Polytechnic University of Marche, Ancona, 60121, Italy.
Edoardo ManciniDepartment of Industrial and Information Engineering and Economics, University of L'Aquila, L'Aquila, 67100, Italy.
Donato OrlandiGran Sasso National Laboratory, National Institute for Nuclear Physics, Assergi, 67100, Italy.
Daniele CortisGran Sasso National Laboratory, National Institute for Nuclear Physics, Assergi, 67100, Italy.
Marco SassoDepartment of Industrial Engineering and Mathematical Sciences, Polytechnic University of Marche, Ancona, 60121, Italy.
Shanmugam KumarJames Watt School of Engineering, University of Glasgow, Glasgow, G128QQ, UK.ORCID https://orcid.org/0000-0002-3386-8012

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation protective systems require adaptive materials capable of reconfiguring their response to impact type and severity, thereby offering multiple force-displacement pathways. Here, the study introduces twisting metamaterials, a subclass of architected lattices whose mechanics are captured by micropolar elasticity. Derived from twisting operations on primitive lattices, these structures exhibit geometry-induced torsional actuation and nonlinear responses, enabling adaptive crashworthiness. A multiscale predictive framework-combining Cosserat continuum mechanics, finite element modeling, and experiments-demonstrates its viability. Twisting sheet-based gyroid structures (10% relative density) are additively manufactured in FE7131 steel and tested under quasi-static and dynamic compression with varied torsional constraints, revealing adaptive energy absorption. When rotation is constrained, the structures achieve high axial stiffness (4.8 GPa), collapse stress (21 MPa), and specific energy absorption (15.36 J g

Indexed as

adaptive crashworthinessadditive manufacturingCosserat continuum mechanicstwisting gyroidtwisting metamaterials

Identifiers

PMID41122029
PMCPMC13073087

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.