NDLI: Hard-Wired Dopant Networks and the Prediction of High Transition Temperatures in Ceramic Superconductors

Content Provider	Springer Nature Link
Author	Phillips, J. C.
Copyright Year	2010
Abstract	I review the multiple successes of the discrete hard-wired dopant network model ZZIP, and comment on the equally numerous failures of continuum models, in describing and predicting the properties of ceramic superconductors. The prediction of transition temperatures can be regarded in several ways, either as an exacting test of theory, or as a tool for identifying theoretical rules for defining new homology models. Popular “first principle” methods for predicting transition temperatures in conventional crystalline superconductors have failed for cuprate HTSC, as have parameterized models based on CuO$_{2}$ planes (with or without apical oxygen). Following a path suggested by Bayesian probability, we find that the glassy, self-organized dopant-network percolative model is so successful that it defines a new homology class appropriate to ceramic superconductors. The reasons for this success in an exponentially complex (Non-Polynomial Complete, NPC) problem are discussed, and a critical comparison is made with previous polynomial (PC) theories. The predictions are successful for the superfamily of all ceramics, including new non-cuprates based on FeAs in place of CuO$_{2}$.
Starting Page	1267
Ending Page	1279
Page Count	13
File Format	PDF
ISSN	15571939
Journal	Journal of Superconductivity and Novel Magnetism
Volume Number	23
Issue Number	7
e-ISSN	15571947
Language	English
Publisher	Springer US
Publisher Date	2010-05-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Prediction Superconductor Transition temperature Network Characterization and Evaluation of Materials Magnetism, Magnetic Materials Strongly Correlated Systems, Superconductivity Condensed Matter Physics
Content Type	Text
Resource Type	Article
Subject	Electronic, Optical and Magnetic Materials Condensed Matter Physics

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