Literature DB >> 31636421

Reciprocal space imaging of ionic correlations in intercalation compounds.

Matthew J Krogstad1, Stephan Rosenkranz1, Justin M Wozniak2, Guy Jennings3, Jacob P C Ruff4, John T Vaughey5, Raymond Osborn6.   

Abstract

The intercalation of alkali ions into layered materials has played an essential role in battery technology since the development of the first lithium-ion electrodes. Coulomb repulsion between the intercalants leads to ordering of the intercalant sublattice, which hinders ionic diffusion and impacts battery performance. While conventional diffraction can identify the long-range order that can occur at discrete intercalant concentrations during the charging cycle, it cannot determine short-range order at other concentrations that also disrupt ionic mobility. In this Article, we show that the use of real-space transforms of single-crystal diffuse scattering, measured with high-energy synchrotron X-rays, allows a model-independent measurement of the temperature dependence of the length scale of ionic correlations along each of the crystallographic axes in sodium-intercalated V2O5. The techniques described here provide a new way of probing the evolution of structural ordering in crystalline materials.

Entities:  

Year:  2019        PMID: 31636421     DOI: 10.1038/s41563-019-0500-7

Source DB:  PubMed          Journal:  Nat Mater        ISSN: 1476-1122            Impact factor:   43.841


  3 in total

1.  Tuneable local order in thermoelectric crystals.

Authors:  Nikolaj Roth; Jonas Beyer; Karl F F Fischer; Kaiyang Xia; Tiejun Zhu; Bo B Iversen
Journal:  IUCrJ       Date:  2021-06-30       Impact factor: 4.769

2.  Real-space texture and pole-figure analysis using the 3D pair distribution function on a platinum thin film.

Authors:  Sani Y Harouna-Mayer; Songsheng Tao; ZiZhou Gong; Martin V Zimmermann; Dorota Koziej; Ann-Christin Dippel; Simon J L Billinge
Journal:  IUCrJ       Date:  2022-07-19       Impact factor: 5.588

3.  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

  3 in total

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