Machine learning for 2D material–based devices

Yuan Yan

doi:10.1016/j.mser.2025.101085

2025-08-20

PRE

Xixiang Zhang (Xixiang Zhang)

Yi Wan

Xiangliang Zhang *

Rongyu Lin *

DOI：10.1016/j.mser.2025.101085

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摘要

En 中文

• 机器学习显著提升了二维材料合成的效率和质量。 • 将机器学习与表征技术相结合，提高了缺陷和性能分析的准确性。 • 数据驱动模型优化了制备参数，并预测了二维器件的性能。 • 机器学习推动了从基础研究到二维材料应用的跨学科进展。

Keyword:

machine learning

2D materials

synthesis

characterization

data-driven models

期刊

Materials Science and Engineering R-Reports

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26.8

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809

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1.1W

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