Author Correction: Deep-learning electronic-structure calculation of magnetic superstructures (original) (raw)
- Author Correction
- Open access
- Published: 01 June 2023
- Zechen Tang1 na1,
- Xiaoxun Gong1,4,
- Nianlong Zou ORCID: orcid.org/0000-0002-8746-89701,
- Wenhui Duan ORCID: orcid.org/0000-0001-9685-25471,2,3,5 &
- …
- Yong Xu ORCID: orcid.org/0000-0002-4844-24601,2,5,6
Nature Computational Science volume 3, page 569 (2023)Cite this article
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Correction to: Nature Computational Science https://doi.org/10.1038/s43588-023-00424-3. Published online 26 April 2023.
This paper was originally published under a standard Springer Nature license (© The Author(s), under exclusive licence to Springer Nature America, Inc.). It is now available as an open-access paper under a Creative Commons Attribution 4.0 International license, © The Author(s). The error has been corrected in the HTML and PDF versions of the article.
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Author notes
- These authors contributed equally: He Li, Zechen Tang.
Authors and Affiliations
- State Key Laboratory of Low Dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing, China
He Li, Zechen Tang, Xiaoxun Gong, Nianlong Zou, Wenhui Duan & Yong Xu - Tencent Quantum Laboratory, Tencent, Shenzhen, China
He Li, Wenhui Duan & Yong Xu - Institute for Advanced Study, Tsinghua University, Beijing, China
He Li & Wenhui Duan - School of Physics, Peking University, Beijing, China
Xiaoxun Gong - Frontier Science Center for Quantum Information, Beijing, China
Wenhui Duan & Yong Xu - RIKEN Center for Emergent Matter Science (CEMS), Wako, Japan
Yong Xu
Authors
- He Li
- Zechen Tang
- Xiaoxun Gong
- Nianlong Zou
- Wenhui Duan
- Yong Xu
Corresponding authors
Correspondence toWenhui Duan or Yong Xu.
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Cite this article
Li, H., Tang, Z., Gong, X. et al. Author Correction: Deep-learning electronic-structure calculation of magnetic superstructures.Nat Comput Sci 3, 569 (2023). https://doi.org/10.1038/s43588-023-00472-9
- Published: 01 June 2023
- Version of record: 01 June 2023
- Issue date: June 2023
- DOI: https://doi.org/10.1038/s43588-023-00472-9