Evidence map›Paper›PMID 38575640›Full record

ArticleNature communications2024

Gradient matters via filament diameter-adjustable 3D printing.

Huawei Qu, Chongjian Gao, Kaizheng Liu, Hongya Fu, Zhiyuan Liu, Paul H J Kouwer, Zhenyu Han, Changshun Ruan

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Bioprinted Organoids: An Innovative Engine in Biomedicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Continuous Multi-Material Additive Manufacturing.Research (Washington, D.C.) · 2025
    Article
  11. 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

8 authors.

Huawei QuResearch Center for Human Tissue and Organ Degeneration, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID http://orcid.org/0000-0001-7125-5105
Chongjian GaoResearch Center for Human Tissue and Organ Degeneration, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID http://orcid.org/0000-0002-1792-8054
Kaizheng LiuResearch Center for Human Tissue and Organ Degeneration, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID http://orcid.org/0000-0001-8555-4536
Hongya FuSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China.
Zhiyuan LiuResearch Center for Neural Engineering, Shenzhen Key Laboratory of Smart Sensing and Intelligent Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID http://orcid.org/0000-0001-9231-8195
Paul H J KouwerInstitute for Molecules and Materials, Radboud University, Nijmegen, The Netherlands.ORCID http://orcid.org/0000-0002-2760-191X
Zhenyu HanSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China. hanzy@hit.edu.cn.ORCID http://orcid.org/0000-0002-3239-4740
Changshun RuanResearch Center for Human Tissue and Organ Degeneration, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. cs.ruan@siat.ac.cn.ORCID http://orcid.org/0000-0001-6320-7189

Funding

China Postdoctoral Science Foundation 2023M733668National Natural Science Foundation of China (National Science Foundation of China) 32122046National Natural Science Foundation of China (National Science Foundation of China) 32201097National Natural Science Foundation of China (National Science Foundation of China) 82072082
6 · The paper itself

Abstract

Gradient matters with hierarchical structures endow the natural world with excellent integrity and diversity. Currently, direct ink writing 3D printing is attracting tremendous interest, and has been used to explore the fabrication of 1D and 2D hierarchical structures by adjusting the diameter, spacing, and angle between filaments. However, it is difficult to generate complex 3D gradient matters owing to the inherent limitations of existing methods in terms of available gradient dimension, gradient resolution, and shape fidelity. Here, we report a filament diameter-adjustable 3D printing strategy that enables conventional extrusion 3D printers to produce 1D, 2D, and 3D gradient matters with tunable heterogeneous structures by continuously varying the volume of deposited ink on the printing trajectory. In detail, we develop diameter-programmable filaments by customizing the printing velocity and height. To achieve high shape fidelity, we specially add supporting layers at needed locations. Finally, we showcase multi-disciplinary applications of our strategy in creating horizontal, radial, and axial gradient structures, letter-embedded structures, metastructures, tissue-mimicking scaffolds, flexible electronics, and time-driven devices. By showing the potential of this strategy, we anticipate that it could be easily extended to a variety of filament-based additive manufacturing technologies and facilitate the development of functionally graded structures.

Identifiers

PMID38575640
PMCPMC10994943

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.