ReviewNature materials2026
In situ mechanical characterization of functional and architected materials.
Review in Nature materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Bioinspired Mechanical Structures for Load Bearing and Energy Absorption: Cross-Scale Design and Fabrication Strategies.Biomimetics (Basel, Switzerland) · 2026Review
- Energy loop for afterglow imaging.Nature materials · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Recent advances in instrumentation have sparked a transformative journey in materials science, providing insights into the intricate relationship between processing, structure and properties. Among them, cutting-edge in situ micro- and nanoscale mechanical characterization methods, equipped with exceptional spatial and temporal resolution, such as instrumented electron microscopy, X-ray imaging and opto-acoustic techniques, have opened new frontiers in the study of emerging functional and architected materials, including low-dimensional materials, bio-inspired materials and three-dimensional architected metamaterials, underscoring the versatility of these innovative characterization techniques. Furthermore, the integration of artificial intelligence and machine learning offers promising opportunities to streamline high-throughput experimentation processes and enhance the efficiency and accuracy of characterization, and promote the design of next-generation materials. This Review provides a comprehensive overview of the latest micro- and nanoscale mechanical characterization methods. We highlight their interdisciplinary applications to functional and architected materials in the pursuit of solutions for energy, sustainability, semiconductor technology and healthcare.
Identifiers
42236929What OpenQuestion holds
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.