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Updated: Feb 14, 2026

Synthesis and Characterization of Functionalized Metal-organic Frameworks
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Synthesis and Characterization of Functionalized Metal-organic Frameworks

Published on: September 5, 2014

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面向工程的超声波解码:一个端到端的深度学习框架,用于金属颗粒大小分布的表征

Le Dai1, Shiyuan Zhou1, Yuhan Cheng1

  • 1School of Mechanical Engineering, Beijing Institute of Technology, No. 5 South Zhong Guan Cun Street, Haidian, Beijing 100081, China.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
概括

这项研究引入了一种深度学习模型,用于使用超声波数据预测金属颗粒大小. 这种新的方法提高了材料表征的准确性和适应性.

关键词:
深度学习是一种深度学习.谷粒大小分布的分布这是一种基于的超级合金.转移学习转移学习超声波表征的超声波表征是什么

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