Machine-Learning-Guided Prediction Models of Critical Temperature of Cuprates-Reference-Cited by-同舟云学术

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Machine-Learning-Guided Prediction Models of Critical Temperature of Cuprates

Published:2021-07-01 Issue:26 Volume:12 Page:6211-6217
ISSN:1948-7185
Container-title:The Journal of Physical Chemistry Letters
language:en
Short-container-title:J. Phys. Chem. Lett.

Author:

Lee Dongeon¹,You Daegun²,Lee Dongwoo²,Li Xin³,Kim Sooran¹^ORCID

Affiliation:

1. Department of Physics Education, Kyungpook National University, Daegu 41566, South Korea

2. School of Mechanical Engineering, Sungkyunkwan University, Suwon, Gyeonggi-do 16419, South Korea

3. John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States

Funder

Korea Electric Power Corporation

National Research Foundation of Korea

Publisher

American Chemical Society (ACS)

Subject

General Materials Science,Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpclett.1c01442

Reference50 articles.

1. Possible highT c superconductivity in the Ba?La?Cu?O system

2. Doping a Mott insulator: Physics of high-temperature superconductivity

3. An unusual isotope effect in a high-transition-temperature superconductor

4. Role of the electron-phonon interaction in the strongly correlated cuprate superconductors

5. Evidence for ubiquitous strong electron–phonon coupling in high-temperature superconductors

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