Structure–property relationships of iron arsenide superconductors

Abstract

Iron based superconductors sent material scientists into a renewed excitement reminiscent of the time when the first high-T c superconductors were discovered 25 years ago. This feature article reviews relationships between structural chemistry and magnetic as well as superconducting properties of iron arsenide compounds, which are outstandingly rich and uniquely coupled. Particular attention is paid to the nature of the structural phase transitions of the parent compounds and their possible origins, on effects of doping on the crystal structures and on the coexistence of magnetic ordering and superconductivity. In spite of the many fascinating insights that have already enriched the research on superconductivity, many questions are still open and prove iron based superconductors to be a good recipe for future discoveries in this lively field.

(Li1−xFex)OHFeSe Superconductors: Crystal Growth, Structure, and Electromagnetic Properties

“…Iron-based superconductors (FeSCs) have attracted much attention because of their diverse structures, complex phases, and unconventional superconductivity [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. FeSCs have the highest superconducting (SC) transition temperatures (T c ) after cuprate SCs, above the generally accepted McMillan limit of 39 K predicted by Bardeen-Cooper-Schrieffer (BCS) theory, opening up new opportunities for exploring novel high-T c SCs [17].…”

dc Josephson Current Between an Isotropic and a d-Wave or Extended s-Wave Partially Gapped Charge Density Wave Superconductor

“…Similar studies of iron-based superconductors with doping-dependent spin density waves (SDWs) would also be of benefit (see, e.g., recent Reviews [78,[269][270][271][272][273][274][275]), since CDW and SDW superconductors have similar, although not identical, properties [123][124][125].…”

Perspective: Interactive material property databases through aggregation of literature data

“…[6][7][8][9] Likewise, the tools and software packages, such as density functional theory (DFT), 10,11 for simulated experiments have improved by considering simplified models and potentials, 7,[12][13][14] as well as preliminary screening techniques [15][16][17][18] making high-throughput computational modeling more viable.…”