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Towards the prediction of properties in large clusters of ionic liquids with quantum chemical methods

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thesis
posted on 11.09.2020, 07:01 by ZOE LUISA ELEANOR SEEGER
Ionic liquids have many potential applications such as a green alternative to electrolytes in batteries. This thesis develops computational models that can be used to predict their properties such that task-specific ionic liquids can be identified.

History

Campus location

Australia

Principal supervisor

Katya Pas

Additional supervisor 1

Jason Rigby

Year of Award

2020

Department, School or Centre

Chemistry

Course

Doctor of Philosophy

Degree Type

DOCTORATE