Reactivity and Mechanism of Catalytic Methane Conversion Over Ceria-Zirconia Supported Metal/Metal Oxide Catalysts
10 Jun 2021 | Contributor(s):: Lyu, Yimeng
Advisors: Carsten Sievers, Nian Liu, Eli Stavitski, Jake Soper, Ryan LivelyMethane, the major component of natural gas, is vastly available on Earth, but is not used effectively. Methane conversion using heterogeneous catalysts, such as CZ supported metal/metal oxide materials, provides a...
Branched Polymer Electrolytes: Responsive Nanomaterials for Controlled Ion Mobility
10 Jun 2021 | Contributor(s):: Erwin, Andrew J.
Advisors: Vladimir V. Tsukruk, Alexei P. Sokolov, Blair K. Brettman, Alberto Fernandez-Nieves, Zhiqun Lin, Paul S. RussoPolymers containing ionic groups such as polyelectrolytes and polymerized ionic liquids are promising candidates for the design of organized ionically conductive media due to...
Interfacial Assembly of Natural and Synthetic Components for Functional Bionanocomposites
10 Jun 2021 | Contributor(s):: Krecker, Michelle C.
Advisors: Vladimir V. Tsukruk, Valeria Milam, Satish Kumar, Eric Vogel, Dhriti NepalOrganized bionanocomposites are promising new materials since they are biocompatible, biodegradable, and can be used in a variety of applications such as flexible electronics, wearable sensors, and molecular...
Beyond Carbon Mitigation: Understanding the Co-Benefits and Co-Costs of Greenhouse Gas Mitigation Policies in Broader Contexts
10 Jun 2021 | Contributor(s):: Li, Yufei
Advisors: Marilyn Brown, Valerie Thomas, Richard Simmons, Chris Gu, Emanuele MassettiThe use of cost-benefit analysis (CBA) is firmly entrenched in U.S. policy-making and other regulatory processes. The validity of CBA relies on the systematic and comprehensive understanding of the co-benefits...
Interval Deep Learning for Uncertainty Quantification in Engineering Problems
10 Jun 2021 | Contributor(s):: Betancourt, David
Advisors: Rafi L Muhanna, B. Aditya Prakash, Chao Zhang, Abdul-Hamid Zureick, Steffen Freitag, Vladik KreinovichDeep neural networks are becoming more common in important real-world safety-critical applications where reliability in the predictions is paramount. Despite their exceptional...