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University of Illinois at Urbana-Champaign

Irradiation studies of fused silica materials and machine learning techniques for ATLAS forward detectors in heavy ion collisions

Abstract

dc:description

Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-12-01

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Nuclear, Plasma, Radiolgc Engr
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Yang, Sheng
Contributors dc:contributor
  • Grosse Perdekamp, Matthias
  • Uddin, Rizwan
  • Zhang, Yang
  • Di Fulvio, Angela
  • Longo, Riccardo

Subjects

dc:subject × 7

Rights

dc:rights
Statement dc:rights
  • Copyright 2022 Sheng Yang
Language dc:language
en, eng

Identifiers

dc:identifier.*
Handle dc:identifier
https://hdl.handle.net/2142/117519
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/117519

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Yang, Sheng. Irradiation studies of fused silica materials and machine learning techniques for ATLAS forward detectors in heavy ion collisions. Dissertation thesis, University of Illinois at Urbana-Champaign, 2022. https://hdl.handle.net/2142/117519