Porosity Analysis using Machine Learning and Ruthenium Diffusion in Nuclear Graphite Grades.

Elgewaily, Dina Osama Elsayed

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North Carolina State University

Porosity Analysis using Machine Learning and Ruthenium Diffusion in Nuclear Graphite Grades.

dc:creator Elgewaily, Dina Osama Elsayed

dc:date.issued2024

Abstract

dc:description

North Carolina State University Theses Nuclear Engineering.

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Elgewaily, Dina Osama Elsayed
Advisors dc:contributor.advisor: Korukonda Murty, Co-Chair
Jacob Eapen, Co-Chair
Mohamed Bourham, Member
Tasnim Hassan, Graduate School Representative
Anne Campbell, External
Ge Yang, Member

Identifiers

dc:identifier.*

Dc Identifier Other: deg37485
OAI record oai:identifier: https://repository.lib.ncsu.edu/server/oai/request?verb=GetRecord&metadataPrefix=dim&identifier=oai%3Arepository.lib.ncsu.edu%3A1840.20%2F42008

Chain of custody

source

Harvested from: North Carolina State University
Base URL: repository.lib.ncsu.edu/server/oai/request
Last updated: 2026-08-21
Source record: OAI-PMH GetRecord

related terms

ncsu
2024

citation

Elgewaily, Dina Osama Elsayed. Porosity Analysis using Machine Learning and Ruthenium Diffusion in Nuclear Graphite Grades.. 2024. https://www.lib.ncsu.edu/resolver/1840.20/42008

Porosity Analysis using Machine Learning and Ruthenium Diffusion in Nuclear Graphite Grades.

Abstract

Author and committee

Identifiers

Chain of custody

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