Computational design of catalysts for clean energy conversion and storage

(2017) Computational design of catalysts for clean energy conversion and storage. PhD by Publication, Queensland University of Technology.

Description

This project focuses on the computational design of novel catalyst for artificial synthesis: converting sunlight into fuels. With the atomic-scale insight of catalysts obtained by theoretical calculations, many efficient and optimum catalysts for these processes have been designed and engineered. The outcomes of this thesis are expected to provide theoretical solutions for current global energy and environmental challenges.

Impact and interest:

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Full-text downloads:

563 since deposited on 06 Nov 2017
54 in the past twelve months

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ID Code: 109443
Item Type: QUT Thesis (PhD by Publication)
Supervisor: Du, Aijun & Waclawik, Eric
Additional Information: Recipient of the 2017 Outstanding Doctoral Thesis Award
Keywords: Hydrogen Evolution Reaction, Oxygen reduction reaction, Oxygen evolution reaction, CO2 reduction, Water Splitting, Fuel cell, Metal-Air Battery, Photocatalysts, Electrocatalysts, ODTA
DOI: 10.5204/thesis.eprints.109443
Divisions: Past > QUT Faculties & Divisions > Science & Engineering Faculty
Past > Schools > School of Chemistry, Physics & Mechanical Engineering
Institution: Queensland University of Technology
Deposited On: 06 Nov 2017 06:37
Last Modified: 10 May 2018 05:34