{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/129752"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/129752","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"A new non-proliferation risk model for small nuclear reactors","abstract":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-05-01","abstract_html":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-05-01","abstract_has_math":false,"creators":["Dubinsky, Igor V"],"institution":"University of Illinois Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Nuclear, Plasma, Radiolgc Engr","degree_department":null,"school":null,"contributors":["Uddin, Rizwan","Singer, Clifford E","Perdekamp, Matthias G","Kozlowski, Tomasz"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-05-01","date_published":"2025-05-01","updated_at":"2026-07-22T22:25:05Z","subjects":["Small Modular Nuclear Reactors","SMRs","Nonproliferation Risk"],"languages":["en","eng"],"rights":["Copyright 2025 Igor Dubinsky"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/129752","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Uddin, Rizwan","Singer, Clifford E","Perdekamp, Matthias G","Kozlowski, Tomasz"]},{"key":"dc:creator","label":"Author","values":["Dubinsky, Igor V"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2025-05-01","2025-05"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Nuclear, Plasma, Radiolgc Engr"]},{"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 Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Small Modular Nuclear Reactors","SMRs","Nonproliferation Risk"]}]},{"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 2025 Igor Dubinsky"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/129752"]}]},{"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 2027-05-01","The student, Igor Dubinsky, accepted the attached license on 2025-04-29 at 20:17.","The student, Igor Dubinsky, submitted this Dissertation for approval on 2025-04-29 at 20:17.","This Dissertation was approved for publication on 2025-05-01 at 11:06.","DSpace SAF Submission Ingestion Package generated from Vireo submission #22090 on 2025-10-19 at 19:54:42","A novel Bayesian Network model is developed to assess proliferation risk in Small Modular Nuclear Reactors (SMRs). The model accounts for various risks and provides a key repeatable and comparative risk index for current, proposed, and future SMRs being deployed to a selected use case and country. The model utilizes Bayesian networks to create a probabilistic graphical model composed of conditional dependencies representing key nonproliferation factors. The main factors include those related to specific reactor technology, the overall facility, and the deployment location. Notably, in addition to the reactor itself, the country, location type, and use case application are factored into each deployment scenario’s overall risk. A comprehensive review of key proliferation factors is conducted, and Bayesian network modeling is selected as a novel approach to quantify proliferation risk by generating a comparative risk index for current and future SMR deployments. The quantitative risk index is then normalized and scaled to provide a clear metric and assist a policymaker in deciding whether to deploy a reactor in a specific scenario. The model is applied to various scenarios, demonstrating the risk for different SMRs across a variety of inputs. The model is further applied to compare the deployment of a current SMR across a range of countries in distinct geographic regions, each with differing levels of nuclear experience and political stability. The risk model will contribute to ensuring nuclear nonproliferation, while enabling the sustainable deployment of advanced nuclear technologies."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["A new non-proliferation risk model for small nuclear reactors"]}]}],"canonical_facts":{"dc:contributor":["Uddin, Rizwan","Singer, Clifford E","Perdekamp, Matthias G","Kozlowski, Tomasz"],"dc:creator":["Dubinsky, Igor V"],"dc:date":["2025-05-01","2025-05"],"dc:description":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-05-01","The student, Igor Dubinsky, accepted the attached license on 2025-04-29 at 20:17.","The student, Igor Dubinsky, submitted this Dissertation for approval on 2025-04-29 at 20:17.","This Dissertation was approved for publication on 2025-05-01 at 11:06.","DSpace SAF Submission Ingestion Package generated from Vireo submission #22090 on 2025-10-19 at 19:54:42","A novel Bayesian Network model is developed to assess proliferation risk in Small Modular Nuclear Reactors (SMRs). The model accounts for various risks and provides a key repeatable and comparative risk index for current, proposed, and future SMRs being deployed to a selected use case and country. The model utilizes Bayesian networks to create a probabilistic graphical model composed of conditional dependencies representing key nonproliferation factors. The main factors include those related to specific reactor technology, the overall facility, and the deployment location. Notably, in addition to the reactor itself, the country, location type, and use case application are factored into each deployment scenario’s overall risk. A comprehensive review of key proliferation factors is conducted, and Bayesian network modeling is selected as a novel approach to quantify proliferation risk by generating a comparative risk index for current and future SMR deployments. The quantitative risk index is then normalized and scaled to provide a clear metric and assist a policymaker in deciding whether to deploy a reactor in a specific scenario. The model is applied to various scenarios, demonstrating the risk for different SMRs across a variety of inputs. The model is further applied to compare the deployment of a current SMR across a range of countries in distinct geographic regions, each with differing levels of nuclear experience and political stability. The risk model will contribute to ensuring nuclear nonproliferation, while enabling the sustainable deployment of advanced nuclear technologies."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/129752"],"dc:language":["en","eng"],"dc:rights":["Copyright 2025 Igor Dubinsky"],"dc:subject":["Small Modular Nuclear Reactors","SMRs","Nonproliferation Risk"],"dc:title":["A new non-proliferation risk model for small nuclear reactors"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Nuclear, Plasma, Radiolgc Engr"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:05Z"}