Journal article : Letter
Bandstructure engineering by surface water dosing on SrFe2As2
- Abstract:
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Fe-based superconductors represent a fascinating class of materials, extensively studied for their complex interplay of superconductivity, magnetism, spin density waves, and nematicity, along with the interactions among these orders. An intriguing yet unexplained phenomenon observed in Fe-based superconductors is the emergence of superconductivity below 25 K in the non-superconducting parent compound SrFe2As2 following exposure to water at its surface. In this study, we employed in situ angle-resolved photoemission spectroscopy and low-energy electron diffraction to meticulously examine the electronic structure evolution of SrFe2As2 upon in situ water dosing. Our findings indicate that water dosing markedly attenuates the spin density wave phase and surface Sr reconstruction while preserving the nematic order in SrFe2As2. Furthermore, we detected an enhancement in the spectral weight of bands near the Fermi level. Our observations highlight the critical role of the intricate interplay among various orders induced by water dosing, which effectively modifies the band structure and favors the emergence of superconductivity in SrFe2As2.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
-
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(Preview, Accepted manuscript, pdf, 888.5KB, Terms of use)
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- Publisher copy:
- 10.1088/0256-307x/42/10/100707
Authors
- Funder identifier:
- https://ror.org/027s68j25
- Publisher:
- IOP Publishing
- Journal:
- Chinese Physics Letters More from this journal
- Volume:
- 42
- Issue:
- 10
- Article number:
- 100707
- Publication date:
- 2025-10-01
- Acceptance date:
- 2025-06-25
- DOI:
- EISSN:
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1741-3540
- ISSN:
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0256-307X
- Language:
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English
- Subtype:
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Letter
- Pubs id:
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2301796
- Local pid:
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pubs:2301796
- Deposit date:
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2025-11-26
- ARK identifier:
Terms of use
- Copyright holder:
- Chinese Physical Society and IOP Publishing Ltd.
- Copyright date:
- 2025
- Rights statement:
- © 2025 Chinese Physical Society and IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
- Notes:
- The author accepted manuscript (AAM) of this paper has been made available under the University of Oxford's Open Access Publications Policy, and a CC BY public copyright licence has been applied.
- Licence:
- CC Attribution (CC BY)
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