Computational Design of Catalysts for Clean Energy Conversion and Storage | Zendy

Guoping Gao | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Computational Design of Catalysts for Clean Energy Conversion and Storage

Author(s) -

Guoping Gao

Publication year - 2017

Language(s) - English

Resource type - Dissertations/theses

DOI - 10.5204/thesis.eprints.109443

Subject(s) - catalysis , process engineering , clean energy , scale (ratio) , biochemical engineering , energy transformation , environmental science , nanotechnology , computer science , engineering , materials science , chemistry , environmental engineering , physics , thermodynamics , organic chemistry , quantum mechanics

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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research