Evidence map›Paper›PMID 36143780›Full record

ReviewMaterials (Basel, Switzerland)2022

Emerging Deep-Sea Smart Composites: Advent, Performance, and Future Trends.

Haiyi Zhou, Pengcheng Jiao, Yingtien Lin

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

3 authors.

Haiyi ZhouInstitute of Port, Coastal and Offshore Engineering, Ocean College, Zhejiang University, Zhoushan 316021, China.
Pengcheng JiaoInstitute of Port, Coastal and Offshore Engineering, Ocean College, Zhejiang University, Zhoushan 316021, China.
Yingtien LinInstitute of Port, Coastal and Offshore Engineering, Ocean College, Zhejiang University, Zhoushan 316021, China.ORCID 0000-0003-0643-5542

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To solve the global shortage of land and offshore resources, the development of deep-sea resources has become a popular topic in recent decades. Deep-sea composites are widely used materials in abyssal resources extraction, and corresponding marine exploration vehicles and monitoring devices for deep-sea engineering. This article firstly reviews the existing research results and limitations of marine composites and equipment or devices used for resource extraction. By combining the research progress of smart composites, deep-sea smart composite materials with the three characteristics of self-diagnosis, self-healing, and self-powered are proposed and relevant studies are summarized. Finally, the review summarizes research challenges for the materials, and looks forward to the development of new composites and their practical application in conjunction with the progress of composites disciplines and AI techniques.

Indexed as

deep-sea composite materialsdeep-sea exploration technologyself-diagnosisself-healingself-poweredsmart composites

Identifiers

PMID36143780
PMCPMC9502296

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.