Evidence map›Paper›PMID 41522610›Full record

ArticleResearch (Washington, D.C.)2026

Particle Morphology Controls the Bulk Mechanical Behavior of Far-Side Lunar Regolith from Chang'e-6 Samples and Deep Learning.

Hao Wang, Siqi Zhou, Xue Zhang, Qi Zhou, Yu Jiang, Yutong Deng, Jiayuan Liu, Zhiqian Lin, Feng Li, Chi Zhang and 3 more

Abstract read
In one paragraph

Article in Research (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

13 authors.

Hao WangSchool of Transportation Science and Engineering, Beihang University, Beijing 100191, China.ORCID https://orcid.org/0009-0000-7575-5932
Siqi ZhouSchool of Transportation Science and Engineering, Beihang University, Beijing 100191, China.ORCID https://orcid.org/0000-0002-2453-2859
Xue ZhangDepartment of Civil and Environmental Engineering, University of Liverpool, Liverpool L69 3BX, UK.ORCID https://orcid.org/0000-0002-0892-3665
Qi ZhouSchool of Future Aerospace Technology, Beihang University, Beijing 100191, China.
Yu JiangSchool of Transportation Science and Engineering, Beihang University, Beijing 100191, China.
Yutong DengSchool of Transportation Science and Engineering, Beihang University, Beijing 100191, China.
Jiayuan LiuSchool of Transportation Science and Engineering, Beihang University, Beijing 100191, China.
Zhiqian LinSchool of Transportation Science and Engineering, Beihang University, Beijing 100191, China.
Feng LiSchool of Transportation Science and Engineering, Beihang University, Beijing 100191, China.ORCID https://orcid.org/0000-0002-1448-6430
Chi ZhangKey Laboratory of Earth and Planetary Physics, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China.ORCID https://orcid.org/0000-0001-8538-0505
Wei YangKey Laboratory of Earth and Planetary Physics, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China.ORCID https://orcid.org/0000-0001-6267-4981
Chao WangCollege of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China.
Xiaohua TongCollege of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lunar far-side samples returned by the Chang'e-6 mission offer unprecedented insights into regolith properties within the South Pole-Aitken basin, essential for advancing lunar exploration and in situ resource utilization. This paper presents an integrated characterization framework combining high-resolution x-ray micro-computed tomography with semisupervised machine learning to reconstruct and analyze 349,740 individual particles at high throughput. Morphological analysis demonstrates that far-side regolith exhibits greater irregularity than previously characterized near-side samples, with a median particle diameter of 60.51 μm and a mean 3-dimensional sphericity of 0.74-values distinct from those reported for Apollo and Chang'e-5 materials. Discrete element method simulations incorporating these high-fidelity morphologies under representative lunar surface confining pressures (5 to 15 kPa) reveal a high internal friction angle of 47.96° and a cohesion of 1.08 kPa. These parameters exceed Surveyor mission estimates and align with the upper range of Apollo program values, indicating enhanced mechanical strength and cohesion in far-side regolith. The superior mechanical properties arise primarily from pronounced particle irregularity promoting strong mechanical interlocking, potentially augmented by cementation from abundant glassy agglutinate phases. These findings establish critical geotechnical benchmarks for lunar far-side materials, providing essential design parameters for future robotic and crewed missions, landing site selection, and infrastructure development.

Identifiers

PMID41522610
PMCPMC12779894

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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.