Phase diagrams (temperature versus chemical doping or pressure) for four classes of superconductors: hole-doped cuprates like YBa2Cu3O6+x (upper left) [26], κ-(ET)2Cu[N(CN)2]Cl, a 2D-organic (upper right) [27], heavy fermion CeRhIn5 (lower left) [28], and an iron pnictide, Co-doped BaFe2As2 (lower right) [29].
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Since the announcement in 2011 of the Materials Genome Initiative by the Obama administration, much attention has been given to the subject of materials design to accelerate the discovery of new materials that could have technological implications. Although having its biggest impact for more applied materials like batteries, there is increasing interest in applying these ideas to predict new superconductors. This is obviously a challenge, given that superconductivity is a many body phenomenon, with whole classes of known superconductors lacking a quantitative theory. Given this caveat, various efforts to formulate materials design principles for superconductors are reviewed here, with a focus on surveying the periodic table in an attempt to identify cuprate analogues. https://arxiv.org/abs/1601.00709
Visualizing Tc class predictions for Ag0.02Ge2Pd1.98Sr1-MP-mp-978986-synth_doped from the 3DSC(MP) dataset.
Looking at a material (B2Mg0.95Zr0.05-MP-mp-763-synth_doped) with a higher Tc, we see that the model is still able to make good classifications near the true critical temperature.