Projects per year
Abstract
We have developed a high-throughput computational method to predict the superconducting transition temperature in stable hexagonal M 2AX phases, and applied it to all the known possible choices for M (M: Sc, Ti, V, Cr, Mn, Fe, Y, Zr, Nb, Mo, Lu, Hf and Ta). We combine this with the best candidates for A (A: Al, Cu, Ge and Sn ) and X (X: C and N) from our previous work, and predict T c for 60 M2AX-phase materials, 53 of which have never been studied before. From all of these, we identify
Cr2AlN as the best candidate for the highest T c , and confirm its high T c with more detailed density functional theory electron-phonon coupling calculations. Our detailed calculations predict Tc = 14.8 K for Cr2AlN, which is significantly higher than any Tc value known or predicted for any material in the M2AX family to date.
Cr2AlN as the best candidate for the highest T c , and confirm its high T c with more detailed density functional theory electron-phonon coupling calculations. Our detailed calculations predict Tc = 14.8 K for Cr2AlN, which is significantly higher than any Tc value known or predicted for any material in the M2AX family to date.
Original language | English |
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Article number | 6576 |
Number of pages | 13 |
Journal | Scientific Reports |
Volume | 13 |
DOIs | |
Publication status | Published - 21 Apr 2023 |
Bibliographical note
© The Author(s) 2023Keywords
- Superconductivity
- condensed matter
- MAX phase
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The UK Car-Parrinello HEC Consortium
Hasnip, P. J. (Principal investigator)
1/01/23 → 31/12/26
Project: Research project (funded) › Research
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York: Transforming Research-Oriented Software Engineering
Hasnip, P. J. (Principal investigator)
1/04/18 → 31/03/24
Project: Research project (funded) › Research
Datasets
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Input files for Cr2AlN
Karaca, E. (Creator), Byrne, P. J. P. (Creator), Hasnip, P. J. (Creator) & Probert, M. (Creator), University of York, 10 Oct 2022
DOI: 10.15124/85422e07-e03d-49f9-81e1-eccea2943796
Dataset