
Advanced molecular models for the design of entropy-driven processes and tailored nanomaterials to reduce CO2 and NOx emissions
(2015)
- Author
- Lennart Joos (UGent)
- Promoter
- Veronique Van Speybroeck (UGent) and Christine Kirschhock
- Organization
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-6963858
- MLA
- Joos, Lennart. Advanced Molecular Models for the Design of Entropy-Driven Processes and Tailored Nanomaterials to Reduce CO2 and NOx Emissions. Ghent University. Faculty of Engineering and Architecture, 2015.
- APA
- Joos, L. (2015). Advanced molecular models for the design of entropy-driven processes and tailored nanomaterials to reduce CO2 and NOx emissions. Ghent University. Faculty of Engineering and Architecture, Ghent, Belgium.
- Chicago author-date
- Joos, Lennart. 2015. “Advanced Molecular Models for the Design of Entropy-Driven Processes and Tailored Nanomaterials to Reduce CO2 and NOx Emissions.” Ghent, Belgium: Ghent University. Faculty of Engineering and Architecture.
- Chicago author-date (all authors)
- Joos, Lennart. 2015. “Advanced Molecular Models for the Design of Entropy-Driven Processes and Tailored Nanomaterials to Reduce CO2 and NOx Emissions.” Ghent, Belgium: Ghent University. Faculty of Engineering and Architecture.
- Vancouver
- 1.Joos L. Advanced molecular models for the design of entropy-driven processes and tailored nanomaterials to reduce CO2 and NOx emissions. [Ghent, Belgium]: Ghent University. Faculty of Engineering and Architecture; 2015.
- IEEE
- [1]L. Joos, “Advanced molecular models for the design of entropy-driven processes and tailored nanomaterials to reduce CO2 and NOx emissions,” Ghent University. Faculty of Engineering and Architecture, Ghent, Belgium, 2015.
@phdthesis{6963858, author = {Joos, Lennart}, isbn = {9789085788423}, language = {eng}, pages = {XL, 284}, publisher = {Ghent University. Faculty of Engineering and Architecture}, school = {Ghent University}, title = {Advanced molecular models for the design of entropy-driven processes and tailored nanomaterials to reduce CO2 and NOx emissions}, year = {2015}, }