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Updated: Jul 15, 2025

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配对变量自编码器用于链接和交叉重建来自补充结构性特征技术的特征化数据.

Shizhao Lu1, Arthi Jayaraman1,2

  • 1Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware 19716, United States.

JACS Au
|September 29, 2023
PubMed
概括

本研究介绍了一种机器学习模型,即对变量自编码器 (PairVAE),用于从散射数据生成显微镜图像,反之亦然. 这有助于材料研究,简化结构特征和数据解释.

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