Literature DB >> 15452627

The pyrochlore family -- a potential panacea for the frustrated perovskite chemist.

Mark T Weller1, Robert W Hughes, Joanna Rooke, Christopher S Knee, Jon Reading.   

Abstract

Many known complex oxides of general formula A(2)B(2)X(7) adopt the pyrochlore structure, a key structure-type that has been shown to demonstrate a vast range of useful physical properties. Areas currently of much interest with respect to pyrochlores, include metal-insulator transitions, magnetic frustration/spin ices, magnetoresistance, superconductivity, ferroelectrics, O/F ionic conductivity, mixed conductivity, pigments and catalysis. We present some recent results on three types of pyrochlore materials that show unusual magnetic, optical and electronic behaviours associated with subtle structural and compositional changes. High-resolution powder neutron diffraction studies of the superconducting Cd(2)Re(2)O(7) and the ferroelectric Cd(2)Nb(2)O(7) have been undertaken on material cooled below room temperature. Both Cd(2)Re(2)O(7) and Cd(2)Nb(2)O(7) exhibit small structure distortions, in each case involving a distortion from a cubic unit cell, on cooling below approximately 180 K and possible models that can be used to describe the low-temperature structures and associated atomic displacements are developed and described in this article. A range of materials of the general formula Ca(1-x)Ln(x)TaO(2-x)N(1+x), x= 0.5 and x= 1, Ln = La-Yb have been synthesised and shown to adopt pyrochlore and/or perovskite structures. The absorption spectra of these materials are discussed in terms of their structures and compositions.

Entities:  

Year:  2004        PMID: 15452627     DOI: 10.1039/b401787k

Source DB:  PubMed          Journal:  Dalton Trans        ISSN: 1477-9226            Impact factor:   4.390


  2 in total

1.  Disorder in Ho2Ti2-x Zr x O7: pyrochlore to defect fluorite solid solution series.

Authors:  Devon L Drey; Eric C O'Quinn; Tamilarasan Subramani; Kristina Lilova; Gianguido Baldinozzi; Igor M Gussev; Antonio F Fuentes; Joerg C Neuefeind; Michelle Everett; David Sprouster; Alexandra Navrotsky; Rodney C Ewing; Maik Lang
Journal:  RSC Adv       Date:  2020-09-18       Impact factor: 4.036

2.  Harnessing interpretable and unsupervised machine learning to address big data from modern X-ray diffraction.

Authors:  Jordan Venderley; Krishnanand Mallayya; Michael Matty; Matthew Krogstad; Jacob Ruff; Geoff Pleiss; Varsha Kishore; David Mandrus; Daniel Phelan; Lekhanath Poudel; Andrew Gordon Wilson; Kilian Weinberger; Puspa Upreti; Michael Norman; Stephan Rosenkranz; Raymond Osborn; Eun-Ah Kim
Journal:  Proc Natl Acad Sci U S A       Date:  2022-06-09       Impact factor: 12.779

  2 in total

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