Erratum: “Material informatics for layered high- T C superconductors” [APL Mater. 8, 061104 (2020)]
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Abstract
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Source: openalex_inverted_index · Quality: short
Research context
OpenAlex topics: Electronic and Structural Properties of Oxides · Machine Learning in Materials Science · Iron-based superconductors research
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Affiliations
College of Physics and Electric Information, Luoyang Normal University 1 , Luoyang 471934, China
Centre for the Physics of Materials and Department of Physics, McGill University 2 , Montreal, Quebec H3A 2T8, Canada
Nanoacademic Technologies, Inc. 3 , Brossard, Quebec J4Z 1A7, Canada
Centre for Computational Sciences, Sichuan Normal University 4 , Chengdu 610066, China
References (7)
Show source-provided references
1. Material informatics for layered high-TC superconductors10.1063/5.0004641 ↗
2. Superconductivity and phase diagram in iron-based arsenic-oxides ReFeAsO1−δ (Re = rare-earth metal) without fluorine doping10.1209/0295-5075/83/17002 ↗
3. Effect of structural parameters on superconductivity in fluorine-free LnFeAsO1–y (Ln = La, Nd)10.1143/jpsj.77.083704 ↗
4. Superconductivity at 54 K in F-free NdFeAsO1−y10.1143/jpsj.77.063707 ↗
5. Superconductivity at 53.5 K in GdFeAsO1−y10.1088/0953-2048/21/8/082001 ↗
6. Theory of high-TC superconductivity: Transition temperature10.1088/0953-8984/23/29/295701 ↗
7. 2011 · 34950110.1088/0953-8984/23/34/349501 ↗