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      Anomalous scaling of ΔCversusTcin the Fe-based superconductors: the ${S}_{\pm }$-wave pairing state model

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      New Journal of Physics
      IOP Publishing

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          Most cited references36

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          Unconventional pairing originating from disconnected Fermi surfaces in superconducting LaFeAsO\(_{1-x}\)F\(_x\)}

          For a newly discovered iron-based high \(T_c\) superconductor LaFeAsO\(_{1-x}\)F\(_x\), we have constructed a minimal model, where inclusion of all the five Fe \(d\) bands is found to be necessary. Random-phase approximation is applied to the model to investigate the origin of superconductivity. We conclude that the multiple spin fluctuation modes arising from the nesting across the disconnected Fermi surfaces realize an extended s-wave pairing, while d-wave pairing can also be another candidate.
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            Unconventional sign-reversing superconductivity in LaFeAsO_(1-x)F_x

            We argue that the newly discovered superconductivity in a nearly magnetic, Fe-based layered compound is unconventional and mediated by antiferromagnetic spin fluctuations, though different from the usual superexchange and specific to this compound. This resulting state is an example of extended s-wave pairing with a sign reversal of the order parameter between different Fermi surface sheets. The main role of doping in this scenario is to lower the density of states and suppress the pair-breaking ferromagnetic fluctuations.
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              Properties of Superconducting Alloys Containing Paramagnetic Impurities

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                Author and article information

                Journal
                New Journal of Physics
                New J. Phys.
                IOP Publishing
                1367-2630
                February 01 2016
                February 01 2016
                : 18
                : 2
                : 023017
                Article
                10.1088/1367-2630/18/2/023017
                94de2de3-df7b-49d3-bb1b-f7ec56e29d9e
                © 2016

                http://iopscience.iop.org/info/page/text-and-data-mining

                http://creativecommons.org/licenses/by/3.0/

                http://creativecommons.org/licenses/by/3.0

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