Computational design of catalysts for clean energy conversion and storage
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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ID Code: | 109443 |
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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 |
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