Predicting the Na<sup>+</sup> ion transport properties of NaSICON materials using density functional theory and Kinetic Monte Carlo-Reference-Cited by-同舟云学术

Predicting the Na⁺ ion transport properties of NaSICON materials using density functional theory and Kinetic Monte Carlo

Published:2023 Issue:16 Volume:11 Page:9160-9177
ISSN:2050-7488
Container-title:Journal of Materials Chemistry A
language:en
Short-container-title:J. Mater. Chem. A

Author:

Schuett Judith¹²,Kuhn Antonia S.²,Neitzel-Grieshammer Steffen²^ORCID

Affiliation:

1. Helmholtz-Institut Münster (IEK-12), Forschungszentrum Jülich GmbH, Corrensstraße 46, 48149 Münster, Germany

2. Institute of Physical Chemistry, RWTH Aachen University, Landoltweg 2, 52056 Aachen, Germany

Abstract

The efficiency of all-solid-state Na+ ion batteries crucially depends on the applied electrolyte, among which sodium super ionic conductors (NaSICONs) show high ionic conductivities.

Funder

Bundesministerium für Bildung und Forschung

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/TA/D3TA00440F

Reference150 articles.

1. The Crystal Structure of NaM2IV(PO4)3; MeIV = Ge, Ti, Zr.

2. Crystal structures and crystal chemistry in the system Na1+xZr2SixP3−xO12

3. Fast Na+-ion transport in skeleton structures

4. Crystal chemistry of the NaZr2(PO4)3, NZP or CTP, structure family

5. A wide-ranging review on Nasicon type materials

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1. Interstitial or interstitialcy: effect of the cation size on the migration mechanism in NaSICON materials;Physical Chemistry Chemical Physics;2024

2. Revolutionizing Solid‐State NASICON Sodium Batteries: Enhanced Ionic Conductivity Estimation through Multivariate Experimental Parameters Leveraging Machine Learning;ChemSusChem;2023-11-16