Two-Dimensional CN Material Structure Prediction Based on Machine Learning
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62664-7_43
Reference20 articles.
1. Baig, N., et al.: A review of synthesis methods, properties, recent progress, and challenges. Materials Advances. 2(6), 1821–1871 (2021)
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3. Zheng, Y., et al.: Graphitic carbon nitride materials: controllable synthesis and applications in fuel cells and photocatalysis. Ene. Environ. Sci. EES 5(5), 6717–6731 (2012)
4. Ma, H., et al.: Recent advances in the photothermal applications of two-dimensional nanomaterials: photothermal therapy and beyond. J. Mat. Chem. A. 9(33), 17569–17591 (2021). (in Chinese)
5. Carleo, G., et al.: Machine learning and the physical sciences. Rev. Mod. Phys. 91(4), 045002 (2019)
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