The University of Southampton
University of Southampton Institutional Repository

High throughput methodology for synthesis, screening, and optimization of solid state Lithium ion electrolytes

High throughput methodology for synthesis, screening, and optimization of solid state Lithium ion electrolytes
High throughput methodology for synthesis, screening, and optimization of solid state Lithium ion electrolytes
A study of the lithium ion conductor Li3xLa2/3–xTiO3 solid solution and the surrounding composition space was carried out using a high throughput physical vapor deposition system. An optimum total ionic conductivity value of 5.45 × 10–4 S cm–1 was obtained for the composition Li0.17La0.29Ti0.54 (Li3xLa2/3–xTiO3x = 0.11). This optimum value was calculated using an artificial neural network model based on the empirical data. Due to the large scale of the data set produced and the complexity of synthesis, informatics tools were required to analyze the data. Partition analysis was carried out to determine the synthetic parameters of importance and their threshold values. Multivariate curve resolution and principal component analysis were applied to the diffraction data set. This analysis enabled the construction of phase distribution diagrams, illustrating both the phases obtained and the compositional zones in which they occur. The synthetic technique presented has significant advantages over other thin film and bulk methodologies, in terms of both the compositional range covered and the nature of the materials produced
solid state electrolyte, thin film, neural network
2156-8952
375-381
Beal, Mark
8c460ca6-c18a-42b0-835d-8ee5b4caa1ae
Hayden, Brian E.
aea74f68-2264-4487-9d84-5b12ddbbb331
Le Gall, Thierry
952d4148-bcaa-4447-be6c-23d49d021528
Lee, Christopher E.
f37cd28b-9244-4ed5-8fee-53848c8edda8
Lu, Xiaojuan
1b837d8d-e003-41ff-ab63-36ba255a7e4d
Mirsaneh, Mehdi
7deb15ab-a6d4-4647-bbfc-60a0c985b752
Mormiche, Claire
00a2dfb0-7160-453a-9eb1-02808eb60cb4
Pasero, Denis
08dc1249-ad6f-4fbf-9b4c-bdc2a018e04d
Smith, Duncan C.A.
b96cf343-537e-4e4b-a60f-e90e9c460606
Weld, Andrew
caa8f48d-e89c-4725-b5c2-e8e48ffec93a
Yada, Chihiro
1adbafde-5ae9-4283-a371-9c92955a2dbb
Yokoishi, Shoji
e45af0e2-54b0-4585-bc13-d998756fce51
Beal, Mark
8c460ca6-c18a-42b0-835d-8ee5b4caa1ae
Hayden, Brian E.
aea74f68-2264-4487-9d84-5b12ddbbb331
Le Gall, Thierry
952d4148-bcaa-4447-be6c-23d49d021528
Lee, Christopher E.
f37cd28b-9244-4ed5-8fee-53848c8edda8
Lu, Xiaojuan
1b837d8d-e003-41ff-ab63-36ba255a7e4d
Mirsaneh, Mehdi
7deb15ab-a6d4-4647-bbfc-60a0c985b752
Mormiche, Claire
00a2dfb0-7160-453a-9eb1-02808eb60cb4
Pasero, Denis
08dc1249-ad6f-4fbf-9b4c-bdc2a018e04d
Smith, Duncan C.A.
b96cf343-537e-4e4b-a60f-e90e9c460606
Weld, Andrew
caa8f48d-e89c-4725-b5c2-e8e48ffec93a
Yada, Chihiro
1adbafde-5ae9-4283-a371-9c92955a2dbb
Yokoishi, Shoji
e45af0e2-54b0-4585-bc13-d998756fce51

Beal, Mark, Hayden, Brian E., Le Gall, Thierry, Lee, Christopher E., Lu, Xiaojuan, Mirsaneh, Mehdi, Mormiche, Claire, Pasero, Denis, Smith, Duncan C.A., Weld, Andrew, Yada, Chihiro and Yokoishi, Shoji (2011) High throughput methodology for synthesis, screening, and optimization of solid state Lithium ion electrolytes. ACS Combinatorial Science, 13 (4), 375-381. (doi:10.1021/co100075f).

Record type: Article

Abstract

A study of the lithium ion conductor Li3xLa2/3–xTiO3 solid solution and the surrounding composition space was carried out using a high throughput physical vapor deposition system. An optimum total ionic conductivity value of 5.45 × 10–4 S cm–1 was obtained for the composition Li0.17La0.29Ti0.54 (Li3xLa2/3–xTiO3x = 0.11). This optimum value was calculated using an artificial neural network model based on the empirical data. Due to the large scale of the data set produced and the complexity of synthesis, informatics tools were required to analyze the data. Partition analysis was carried out to determine the synthetic parameters of importance and their threshold values. Multivariate curve resolution and principal component analysis were applied to the diffraction data set. This analysis enabled the construction of phase distribution diagrams, illustrating both the phases obtained and the compositional zones in which they occur. The synthetic technique presented has significant advantages over other thin film and bulk methodologies, in terms of both the compositional range covered and the nature of the materials produced

Other
co100075f - Version of Record
Download (3MB)

More information

e-pub ahead of print date: 11 April 2011
Published date: 11 July 2011
Additional Information: Gold Open Access 02/05/13
Keywords: solid state electrolyte, thin film, neural network
Organisations: Electrochemistry

Identifiers

Local EPrints ID: 337045
URI: https://eprints.soton.ac.uk/id/eprint/337045
ISSN: 2156-8952
PURE UUID: 986200b0-ff08-49b4-b372-b10154b88d06
ORCID for Brian E. Hayden: ORCID iD orcid.org/0000-0002-7762-1812

Catalogue record

Date deposited: 16 Apr 2012 15:26
Last modified: 05 Nov 2019 02:08

Export record

Altmetrics

Contributors

Author: Mark Beal
Author: Brian E. Hayden ORCID iD
Author: Thierry Le Gall
Author: Christopher E. Lee
Author: Xiaojuan Lu
Author: Mehdi Mirsaneh
Author: Claire Mormiche
Author: Denis Pasero
Author: Duncan C.A. Smith
Author: Andrew Weld
Author: Chihiro Yada
Author: Shoji Yokoishi

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×