ArticleNature communications2025
Biomimetic strong and tough MXene fibers with synergy between micropores and dual interfaces.
Article in Nature communications, 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
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Who cites it
3 citing papers in PubMed.
- In-plane molecular cord bridging as a method for boosting MXene fiber strength and toughness.Nature communications · 2026Article
- Stretchable cyclodextrin slide-ring copolymer self-generating hydrogels for high-performance flexible electronics.Chemical science · 2026Article
- Bioinspired Structural Design Enables Synergistic Toughness and Conductivity in Hydrogels for Advanced Wearable Electronics.Nano-micro letters · 2026Article
Corrections and comments
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Authors and funding
17 authors.
Funding
Abstract
Despite high porosity, deer antlers exhibit high strength and toughness from synergistic hierarchical structures. MXene fibers offer promising applications but suffer from poor mechanical properties due to internal voids and weak interfaces. Conventional strengthening removes voids and enhances interlayer interactions, but yields rigid, brittle fibers. Here, we tackle this trade-off by constructing strong and slidable double-interfaces that can cooperate with internal micropores in MXene fibers to mimic the delicate structure of deer antlers. These voids, typically considered defects, instead enhance load-bearing and energy dissipation. At an optimal porosity of ~21%, the MXene fibers achieve high tensile strength, ductility, and toughness of 1060.1 ± 33.5 MPa, 34.2 ± 1.8%, and 136.1 ± 6.5 MJ m
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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.