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The Graduate School and University Center of The City University of New York

Energy Conversion Materials: Computational Design of Electrocatalysts Toward Sustainable Energy Applications

Abstract

dc:description.abstract

<p>As the global-scale need for sustainable energy technologies emerges due to anthropogenic climate change, electrocatalysis plays a crucial role in facilitating many sustainable processes. Several heterogenous cathode materials can perform different electrochemical activities using water, oxygen, hydrogen, carbon dioxide to deliver renewable electricity and value-added chemicals. By using the density functional theory method, it is possible to explore the structural and electronic properties that govern a catalysts’ activity and selectivity. In this thesis, we start by exploring 48 reconstructed transition metal dichalcogenides edges (MX<sub>2</sub>, M = Mo, W; X = S, Se, Te) for carbon dioxide reduction reaction as an alternative to copper-based catalysts. Stabilities of all the reconstructed edges are calculated, followed by the binding energies of key reaction intermediates with a focus on the scaling relationship. Unlike Cu-based catalysts, we observe breaking of the linear scaling relationship for TMDCs, offering lower over-potentials and high selectivity. Fabrication of the reconstructed edges were explored using a controlled atomic fabrication method, delivering realizable stable structures with calculations performed to confirm the experimental findings. We shift to dual atom catalysts as alternatives to Pt-based catalysts for oxygen reduction. Starting with FeCu-N-C, we developed a computational workflow integrating configuration generation, microkinetic modeling and mechanistic pathways to provide design principles for high performing DACs. We further extended our method to explore a larger chemical space that includes 186 heteronuclear DACs (Fe-M<sub>2</sub>-N-C) where M<sub>2</sub> are the later 3d transition metals Mn, Zn, Co, Ni, Fe, Cu, and 5d Pt, establishing a descriptor-based approach to identify DACs which outperform Pt (111). Finally, regenerative materials toward methane reform and electrolysis were investigated as alternatives to pure Ni catalysts. To improve DRM, westudied how the NiAu stoichiometry on Au-doped LaNiO<sub>3</sub> affects the activation of methane at the surface. For SOEC applications, we examined the catalytic performance of Ni-doped LaFeO<sub>3</sub> for electrolysis in the presence of sulfur contaminates.</p>

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy
Level thesis:degree_level
Doctoral
Discipline thesis:degree_discipline
Chemistry
Grantor
The Graduate School and University Center of The City University of New York
Year dc:date.available
2025

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Brea, Courtney M
Advisors dc:contributor.advisor
  • Seogjoo J. Jang
  • Guoxiang Hu
Committee members dc:contributor.committeemember
  • Chen Wang
  • Stephen O'Brien

Subjects

dc:subject × 8

Identifiers

dc:identifier.*
Repository record dc:identifier
https://academicworks.cuny.edu/gc_etds/6319
OAI identifier oai:identifier
oai:academicworks.cuny.edu:gc_etds-7408

Chain of custody

source
Harvested from
City University of New York - Graduate Center
Base URL
academicworks.cuny.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Brea, Courtney M. Energy Conversion Materials: Computational Design of Electrocatalysts Toward Sustainable Energy Applications. Doctoral thesis, The Graduate School and University Center of The City University of New York, 2025. https://academicworks.cuny.edu/gc_etds/6319