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Updated: May 9, 2026

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机器学习在光电子属性的雅各布阶梯上登

Malte Grunert1, Max Großmann2, Erich Runge2

  • 1Institute of Physics and Institute of Micro- and Nanotechnologies, Technische Universität Ilmenau, Ilmenau, Germany. malte.grunert@tu-ilmenau.de.

Nature communications
|August 30, 2025
PubMed
概括

通过结合高准确度随机相近似 (RPA) 数据,对光电子属性的机器学习模型得到了显著改进. 即使使用少量RPA数据进行转移学习,也可以提高预测和模型可扩展性.

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