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Updated: Jun 13, 2026

Image-based Lagrangian Particle Tracking in Bed-load Experiments
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Image-based Lagrangian Particle Tracking in Bed-load Experiments

Published on: July 20, 2017

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基石是关键石:使用可解释的机器学习来探测2D颗粒式热中的堵塞过程

Jesse M Hanlan1, Sam Dillavou1, Andrea J Liu1

  • 1Department of Physics & Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA. djdurian@physics.upenn.edu.

Soft matter
|July 16, 2025
PubMed
概括

了解颗粒物质流,研究人员观察到成千上万的堵塞事件. 他们发现,颗粒在出口附近的位置显著影响弧形形成和流动,使得可以控制喷射的质量.

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