{"id":{"repo_id":"uoit","oai_identifier":"oai:ontariotechu.scholaris.ca:10155/1441"},"canonical_url":"https://search.dev.ndltd.org/etd/uoit/oai:ontariotechu.scholaris.ca:10155/1441","repository":{"repo_id":"uoit","name":"Ontario Institute of Technology","base_url":"https://ontariotechu.scholaris.ca/server/oai/request"},"display":{"title":"Investigation of electrochemical and material properties of TiO2 nanostructures generated by pulsed laser ablation","abstract":"The most challenging feature of the supercapacitor is low energy density. The supercapacitor's low energy density can be improved by proposing new materials for electrodes, electrolytes, etc. This thesis presents a new method for fabricating electrodes in a supercapacitor structure. In this method, we use pulsed laser ablation with the theory of increasing the surface area of electrodes. Although this method can be applied in different materials, we use titanium as a low-cost and lightweight material in our experiments. We use electrochemical and physical properties to investigate the effectivity of this method in different ways. In the first phase, we analyzed the electrochemical and physical properties of TiO2 electrodes by changing one laser parameter. In the second phase, we propose inverse engineering to calculate input parameters to fabricate specific supercapacitors based on machine learning techniques. In the second phase, we compare the result for three different machine learning algorithms then pick one for the inverse engineering structure.","abstract_html":"The most challenging feature of the supercapacitor is low energy density. The supercapacitor's low energy density can be improved by proposing new materials for electrodes, electrolytes, etc. This thesis presents a new method for fabricating electrodes in a supercapacitor structure. In this method, we use pulsed laser ablation with the theory of increasing the surface area of electrodes. Although this method can be applied in different materials, we use titanium as a low-cost and lightweight material in our experiments. We use electrochemical and physical properties to investigate the effectivity of this method in different ways. In the first phase, we analyzed the electrochemical and physical properties of TiO2 electrodes by changing one laser parameter. In the second phase, we propose inverse engineering to calculate input parameters to fabricate specific supercapacitors based on machine learning techniques. In the second phase, we compare the result for three different machine learning algorithms then pick one for the inverse engineering structure.","abstract_has_math":false,"creators":["Gholami, Amirhossein"],"institution":"University of Ontario Institute of Technology","degree_name":"Master of Applied Science (MASc)","degree_level":null,"degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Kiani, Amirkianoosh"],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-04-01","date_published":"2022-04-01","updated_at":"2026-07-24T05:35:41Z","subjects":["Supercapacitor","Electrode","Pulsed laser","Machine learning"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10155/1441","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Kiani, Amirkianoosh"]},{"key":"dc:creator","label":"Author","values":["Gholami, Amirhossein"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2022-04-26T18:11:25Z","2022-06-14T18:06:00Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2022-04-26T18:11:25Z","2022-06-14T18:06:00Z"]},{"key":"dc:date.issued","label":"Date","values":["2022-04-01"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Applied Science (MASc)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Ontario Institute of Technology"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Supercapacitor","Electrode","Pulsed laser","Machine learning"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10155/1441"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The most challenging feature of the supercapacitor is low energy density. The supercapacitor's low energy density can be improved by proposing new materials for electrodes, electrolytes, etc. This thesis presents a new method for fabricating electrodes in a supercapacitor structure. In this method, we use pulsed laser ablation with the theory of increasing the surface area of electrodes. Although this method can be applied in different materials, we use titanium as a low-cost and lightweight material in our experiments. We use electrochemical and physical properties to investigate the effectivity of this method in different ways. In the first phase, we analyzed the electrochemical and physical properties of TiO2 electrodes by changing one laser parameter. In the second phase, we propose inverse engineering to calculate input parameters to fabricate specific supercapacitors based on machine learning techniques. In the second phase, we compare the result for three different machine learning algorithms then pick one for the inverse engineering structure."]},{"key":"dc:title","label":"Title","values":["Investigation of electrochemical and material properties of TiO2 nanostructures generated by pulsed laser ablation"]}]}],"canonical_facts":{"dc:contributor.advisor":["Kiani, Amirkianoosh"],"dc:creator":["Gholami, Amirhossein"],"dc:date.accessioned":["2022-04-26T18:11:25Z","2022-06-14T18:06:00Z"],"dc:date.available":["2022-04-26T18:11:25Z","2022-06-14T18:06:00Z"],"dc:date.issued":["2022-04-01"],"dc:description.abstract":["The most challenging feature of the supercapacitor is low energy density. The supercapacitor's low energy density can be improved by proposing new materials for electrodes, electrolytes, etc. This thesis presents a new method for fabricating electrodes in a supercapacitor structure. In this method, we use pulsed laser ablation with the theory of increasing the surface area of electrodes. Although this method can be applied in different materials, we use titanium as a low-cost and lightweight material in our experiments. We use electrochemical and physical properties to investigate the effectivity of this method in different ways. In the first phase, we analyzed the electrochemical and physical properties of TiO2 electrodes by changing one laser parameter. In the second phase, we propose inverse engineering to calculate input parameters to fabricate specific supercapacitors based on machine learning techniques. In the second phase, we compare the result for three different machine learning algorithms then pick one for the inverse engineering structure."],"dc:identifier.uri":["https://hdl.handle.net/10155/1441"],"dc:language.iso":["en"],"dc:subject":["Supercapacitor","Electrode","Pulsed laser","Machine learning"],"dc:title":["Investigation of electrochemical and material properties of TiO2 nanostructures generated by pulsed laser ablation"],"dc:type":["Thesis"],"thesis:degree_discipline":["Mechanical Engineering"],"thesis:degree_name":["Master of Applied Science (MASc)"],"thesis:institution_name":["University of Ontario Institute of Technology"]},"updated_at":"2026-07-24T05:35:41Z"}