Trajectories of a magnetic sphere in a shaken three-dimensional granular bed under low gravity

This present investigation employs an advanced magnetic particle tracking method to trace the trajectories of an intruder within a vibration-driven granular medium under artificial low-gravity conditions. The experiments are carried out within the centrifuge of the Chinese Space Station, encompassing six distinct low-gravity environments. Trajectories under various vibration modes are captured and analysed for each gravity level. This paper offers an exhaustive account of data collection and algorithms used for data processing, ensuring the dependability and precision of the datasets obtained. Additionally, we make the raw magnetic field data, processing scripts, and visualization tools accessible to the public. This research contributes a comprehensive dataset that is instrumental in exploring the mechanisms of granular segregation under low gravity and aids in the verification of novel physical models for understanding intruder dynamics in granular systems under such conditions.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2025-02-05
DOI
https://doi.org/10.1038/s41597-025-04517-8
Primary Topic
Geomagnetism and Paleomagnetism Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Trajectories of a magnetic sphere in a shaken three-dimensional granular bed under low gravity

Meiying Hou, Ke Cheng, Zhihong Qiao, Mingcheng Yang et al.
Scientific Data
Geomagnetism and Paleomagnetism Studies
article

Trajectories of a magnetic sphere in a shaken three-dimensional granular bed under low gravity

Meiying Hou, Ke Cheng, Zhihong Qiao, Mingcheng Yang, Tuo Li, Xiang Li, Wei Sun
article en

Abstract

This present investigation employs an advanced magnetic particle tracking method to trace the trajectories of an intruder within a vibration-driven granular medium under artificial low-gravity conditions. The experiments are carried out within the centrifuge of the Chinese Space Station, encompassing six distinct low-gravity environments. Trajectories under various vibration modes are captured and analysed for each gravity level. This paper offers an exhaustive account of data collection and algorithms used for data processing, ensuring the dependability and precision of the datasets obtained. Additionally, we make the raw magnetic field data, processing scripts, and visualization tools accessible to the public. This research contributes a comprehensive dataset that is instrumental in exploring the mechanisms of granular segregation under low gravity and aids in the verification of novel physical models for understanding intruder dynamics in granular systems under such conditions.

Scientific DataVol. 12(1)
Hainan Normal University (CN), Chinese Academy of Sciences (CN), Technology and Engineering Center for Space Utilization (CN), Songshan Lake Materials Laboratory (CN), FZU ‒ Institute of Physics of the Academy of Sciences of the Czech Republic (CZ), Institute of Physics (CN), University of Chinese Academy of Sciences (CN)
Chinese Academy of Sciences, University of Chinese Academy of Sciences, Center of Mathematical Sciences and Applications, Harvard University, Wenzhou Institute of Biomaterials and Engineering
Openalex Percentile: Top 98%
Geomagnetism and Paleomagnetism Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.