Literature DB >> 28256544

Towards an accurate description of perovskite ferroelectrics: exchange and correlation effects.

Simuck F Yuk1, Krishna Chaitanya Pitike2, Serge M Nakhmanson2, Markus Eisenbach3, Ying Wai Li3, Valentino R Cooper4.   

Abstract

Using the van der Waals density functional with C09 exchange (vdW-DF-C09), which has been applied to describing a wide range of dispersion-bound systems, we explore the physical properties of prototypical ABO3 bulk ferroelectric oxides. Surprisingly, vdW-DF-C09 provides a superior description of experimental values for lattice constants, polarization and bulk moduli, exhibiting similar accuracy to the modified Perdew-Burke-Erzenhoff functional which was designed specifically for bulk solids (PBEsol). The relative performance of vdW-DF-C09 is strongly linked to the form of the exchange enhancement factor which, like PBEsol, tends to behave like the gradient expansion approximation for small reduced gradients. These results suggest the general-purpose nature of the class of vdW-DF functionals, with particular consequences for predicting material functionality across dense and sparse matter regimes.

Entities:  

Year:  2017        PMID: 28256544      PMCID: PMC5335310          DOI: 10.1038/srep43482

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  19 in total

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  4 in total

1.  Erratum: Towards an accurate description of perovskite ferroelectrics: exchange and correlation effects.

Authors:  Simuck F Yuk; Krishna Chaitanya Pitike; Serge M Nakhmanson; Markus Eisenbach; Ying Wai Li; Valentino R Cooper
Journal:  Sci Rep       Date:  2017-05-03       Impact factor: 4.379

2.  A large modulation of electron-phonon coupling and an emergent superconducting dome in doped strong ferroelectrics.

Authors:  Jiaji Ma; Ruihan Yang; Hanghui Chen
Journal:  Nat Commun       Date:  2021-04-19       Impact factor: 14.919

3.  Low-Pb High-Piezoelectric Ceramic System (1-x)Ba(Zr0.18Ti0.82)O3-x(Ba0.78Pb0.22)TiO3.

Authors:  Chao Zhou; Jiajing Li; Xiaoxiao Zhang; Tiantian Yu; Yin Zhang; Sen Yang
Journal:  Materials (Basel)       Date:  2022-07-07       Impact factor: 3.748

4.  Using Feature-Assisted Machine Learning Algorithms to Boost Polarity in Lead-Free Multicomponent Niobate Alloys for High-Performance Ferroelectrics.

Authors:  Seung-Hyun Victor Oh; Woohyun Hwang; Kwangrae Kim; Ji-Hwan Lee; Aloysius Soon
Journal:  Adv Sci (Weinh)       Date:  2022-03-06       Impact factor: 17.521

  4 in total

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