Back to results

University of Illinois at Urbana-Champaign

Developing physics-informed machine learning models for complex engineering systems design

dc:creator Xu, Yanwen

thesis:degree_name Ph.D.

dc:date2023

Abstract

dc:description

Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-08-01

Degree

thesis:*

Name thesis:degree_name: Ph.D.
Level thesis:degree_level: Dissertation
Discipline thesis:degree_discipline: Industrial Engineering
Grantor: University of Illinois at Urbana-Champaign
Year dc:date: 2023

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Xu, Yanwen
Contributors dc:contributor: Wang, Pingfeng
Gardoni, Paolo
Nagi, Rakesh
Wang, Qiong

Subjects

dc:subject × 8

Rights

dc:rights

Statement dc:rights: Copyright 2023 Yanwen Xu
Language dc:language: en, eng

Identifiers

dc:identifier.*

Handle dc:identifier: https://hdl.handle.net/2142/121344
OAI identifier oai:identifier: oai:www.ideals.illinois.edu:2142/121344

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

related terms

citation

Xu, Yanwen. Developing physics-informed machine learning models for complex engineering systems design. Dissertation thesis, University of Illinois at Urbana-Champaign, 2023. https://hdl.handle.net/2142/121344

More from University of Illinois - Urbana-Champaign