Machine learning modeling of superconducting critical temperature
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Mechanics of Materials,General Materials Science,Modeling and Simulation
Link
http://www.nature.com/articles/s41524-018-0085-8.pdf
Reference70 articles.
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3. Chu, C. W., Deng, L. Z. & Lv, B. Hole-doped cuprate high temperature superconductors. Phys. C. 514, 290–313 (2015).
4. Paglione, J. & Greene, R. L. High-temperature superconductivity in iron-based materials. Nat. Phys. 6, 645–658 (2010).
5. Bergerhoff, G., Hundt, R., Sievers, R. & Brown, I. D. The inorganic crystal structure data base. J. Chem. Inf. Comput. Sci. 23, 66–69 (1983).
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