Literature DB >> 28745741

Materials space of solid-state electrolytes: unraveling chemical composition-structure-ionic conductivity relationships in garnet-type metal oxides using cheminformatics virtual screening approaches.

Natalia Kireeva1, Vladislav S Pervov2.   

Abstract

The organic electrolytes of most current commercial rechargeable Li-ion batteries (LiBs) are flammable, toxic, and have limited electrochemical energy windows. All-solid-state battery technology promises improved safety, cycling performance, electrochemical stability, and possibility of device miniaturization and enables a number of breakthrough technologies towards the development of new high power and energy density microbatteries for electronics with low processing cost, solid oxide fuel cells, electrochromic devices, etc. Currently, rational materials design is attracting significant attention, which has resulted in a strong demand for methodologies that can accelerate the design of materials with tailored properties; cheminformatics can be considered as an efficient tool in this respect. This study was focused on several aspects: (i) identification of the parameters responsible for high Li-ion conductivity in garnet structured oxides; (ii) development of quantitative models to elucidate composition-structure-Li ionic conductivity relationships, taking into account the experimental details of sample preparation; (iii) circumscription of the materials space of solid garnet-type electrolytes, which is attractive for virtual screening. Several candidate compounds have been recommended for synthesis as potential solid state electrolyte materials.

Entities:  

Year:  2017        PMID: 28745741     DOI: 10.1039/c7cp00518k

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  3 in total

Review 1.  Building Better Batteries in the Solid State: A Review.

Authors:  Alain Mauger; Christian M Julien; Andrea Paolella; Michel Armand; Karim Zaghib
Journal:  Materials (Basel)       Date:  2019-11-25       Impact factor: 3.623

Review 2.  Artificial Intelligence Applied to Battery Research: Hype or Reality?

Authors:  Teo Lombardo; Marc Duquesnoy; Hassna El-Bouysidy; Fabian Årén; Alfonso Gallo-Bueno; Peter Bjørn Jørgensen; Arghya Bhowmik; Arnaud Demortière; Elixabete Ayerbe; Francisco Alcaide; Marine Reynaud; Javier Carrasco; Alexis Grimaud; Chao Zhang; Tejs Vegge; Patrik Johansson; Alejandro A Franco
Journal:  Chem Rev       Date:  2021-09-16       Impact factor: 72.087

3.  The dye-sensitized solar cell database.

Authors:  Vishwesh Venkatraman; Rajesh Raju; Solon P Oikonomopoulos; Bjørn K Alsberg
Journal:  J Cheminform       Date:  2018-04-03       Impact factor: 5.514

  3 in total

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