{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/120573"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/120573","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Optimizing selectivity and activity in heterogeneous and homogeneous catalysis for chemical production","abstract":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01","abstract_html":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01","abstract_has_math":false,"creators":["Zhao, Yuanya"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Chemistry","degree_department":null,"school":null,"contributors":["Rodríguez-López, Joaquín","Murphy, Catherine J","Flaherty, David W","Shen, Mei"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-05","date_published":"2023-05","updated_at":"2026-07-22T22:24:57Z","subjects":["Catalyst","Secm","Orr","Hor","Machine Learning","Data Processing","Tempo","Glycerol Oxidation"],"languages":["en","eng"],"rights":["Copyright 2023 Yuanya Zhao"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/120573","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Rodríguez-López, Joaquín","Murphy, Catherine J","Flaherty, David W","Shen, Mei"]},{"key":"dc:creator","label":"Author","values":["Zhao, Yuanya"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-05","2023-04-28"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Chemistry"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Catalyst","Secm","Orr","Hor","Machine Learning","Data Processing","Tempo","Glycerol Oxidation"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2023 Yuanya Zhao"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/120573"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01","The student, Yuanya Zhao, accepted the attached license on 2023-04-28 at 11:32.","The student, Yuanya Zhao, submitted this Dissertation for approval on 2023-04-28 at 11:41.","This Dissertation was approved for publication on 2023-04-28 at 15:13.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19238 on 2023-09-01 at 17:22:09","The world is marching towards the era of sustainability and environmentalism. Governments, companies, and individuals are gaining more and more awareness of protecting the Earth and taking actions on combating environment destruction. The grand topic of this thesis is utilizing electrochemistry for next generation technologies towards the greener production of chemicals. Chapter 1 introduces the recent advances in combinatorial screening methods for electrocatalysts, which increases the discovery and development efficiency of high-performance catalysts that can make chemical processes more productive, sustainable and environmental. Chapter 2 describes the electrochemical screening method for catalysts used for the thermocatalytic synthesis of hydrogen peroxide, which is a next-generation green oxidant. The transfer from traditional oxidants to hydrogen peroxide can greatly reduce pollution generated during industrial chemical production. The method screens catalysts based on their oxygen reduction and hydrogen oxidation activity probed via voltammetric scanning electrochemical microscopy. Chapter 3 discusses the application of machine learning models for fast processing of complicated experimental data such as the ones presented in Chapter 2. The machine learning-based approach can largely boost efficiency in chemistry research and thus expedite the development in technology and science. At the end, Chapter 4 pays attention to the environmental problem caused by the surplus of glycerol, proposing TEMPO as a homogeneous catalyst for glycerol valorization through electrochemical oxidation with a high selectivity towards valuable C3 products without C-C bond cleavage."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Optimizing selectivity and activity in heterogeneous and homogeneous catalysis for chemical production"]}]}],"canonical_facts":{"dc:contributor":["Rodríguez-López, Joaquín","Murphy, Catherine J","Flaherty, David W","Shen, Mei"],"dc:creator":["Zhao, Yuanya"],"dc:date":["2023-05","2023-04-28"],"dc:description":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01","The student, Yuanya Zhao, accepted the attached license on 2023-04-28 at 11:32.","The student, Yuanya Zhao, submitted this Dissertation for approval on 2023-04-28 at 11:41.","This Dissertation was approved for publication on 2023-04-28 at 15:13.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19238 on 2023-09-01 at 17:22:09","The world is marching towards the era of sustainability and environmentalism. Governments, companies, and individuals are gaining more and more awareness of protecting the Earth and taking actions on combating environment destruction. The grand topic of this thesis is utilizing electrochemistry for next generation technologies towards the greener production of chemicals. Chapter 1 introduces the recent advances in combinatorial screening methods for electrocatalysts, which increases the discovery and development efficiency of high-performance catalysts that can make chemical processes more productive, sustainable and environmental. Chapter 2 describes the electrochemical screening method for catalysts used for the thermocatalytic synthesis of hydrogen peroxide, which is a next-generation green oxidant. The transfer from traditional oxidants to hydrogen peroxide can greatly reduce pollution generated during industrial chemical production. The method screens catalysts based on their oxygen reduction and hydrogen oxidation activity probed via voltammetric scanning electrochemical microscopy. Chapter 3 discusses the application of machine learning models for fast processing of complicated experimental data such as the ones presented in Chapter 2. The machine learning-based approach can largely boost efficiency in chemistry research and thus expedite the development in technology and science. At the end, Chapter 4 pays attention to the environmental problem caused by the surplus of glycerol, proposing TEMPO as a homogeneous catalyst for glycerol valorization through electrochemical oxidation with a high selectivity towards valuable C3 products without C-C bond cleavage."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/120573"],"dc:language":["en","eng"],"dc:rights":["Copyright 2023 Yuanya Zhao"],"dc:subject":["Catalyst","Secm","Orr","Hor","Machine Learning","Data Processing","Tempo","Glycerol Oxidation"],"dc:title":["Optimizing selectivity and activity in heterogeneous and homogeneous catalysis for chemical production"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Chemistry"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:57Z"}