Christy Dunlap
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Faculty Researcher
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Biography and Research Information
OverviewAI-generated summary
Christy Dunlap's research focuses on the investigation of heat transfer phenomena, particularly in the context of boiling processes. Her work utilizes advanced computational and experimental methods, including machine learning frameworks and data acquisition systems, to analyze and predict heat flux. Dunlap has published research on nonintrusive heat flux quantification using acoustic emissions during pool boiling and the development of deep learning models for bubble interface dynamics analysis.
Her scholarly contributions include developing frameworks for predicting critical heat flux during pool boiling and unveiling the hysteresis of transient boiling through multimodal perspectives. Dunlap has also worked on the design and fabrication of laboratory equipment, such as a low-cost dip coating machine. She collaborates with researchers at the University of Arkansas at Fayetteville, including Han Hu and Changgen Li, with whom she has multiple shared publications.
Metrics
- h-index: 6
- Publications: 19
- Citations: 127
Selected Publications
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Open Multimodal Datasets and Open-Source Software for Data-Driven Modeling of Multiphase Transport and Thermal Systems (2026)arXiv (Cornell University) OpenAlex
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Unsupervised machine learning framework for non-destructive acoustic emission sensing of flow condensation (2025)
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Hit2flux: A machine learning framework for boiling heat flux prediction using hit-based acoustic emission sensing (2025)
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Unveiling hysteresis of transient boiling: A multimodal perspective (2024)
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Unveiling Hysteresis of Transient Boiling: A Multimodal Perspective (2024)
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A Temporal–Spatial Framework for Efficient Heat Flux Monitoring of Transient Boiling (2024)
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BubbleID: A deep learning framework for bubble interface dynamics analysis (2024)
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Infusing High-Performance Computing and Machine Learning in Mechanical Engineering Education (2024)
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Introducing LabVIEW and Arduino as Data Acquisition System Alternatives (2024)
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Multimodal Characterization of Steady-State and Transient Boiling Heat Transfer (2023)
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Remote Thermal Measurements With Regression of Acoustic Emissions (2023)
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Nonintrusive Boiling Heat Flux Quantification Using Static and Sequential Image Regression (2023)
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Nonintrusive heat flux quantification using acoustic emissions during pool boiling (2023)
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Nonintrusive Heat Flux Quantification Using Acoustic Emissions During Pool Boiling (2022)
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Nonintrusive Heat Flux Quantification Using Acoustic Emissions During Pool Boiling (2022)
Collaboration Network
Top Collaborators
- Nonintrusive heat flux quantification using acoustic emissions during pool boiling
- BubbleID: A deep learning framework for bubble interface dynamics analysis
- Introducing LabVIEW and Arduino as Data Acquisition System Alternatives
- Unveiling hysteresis of transient boiling: A multimodal perspective
- Design and fabrication of a low-cost and programmable dip coating machine
Showing 5 of 15 shared publications
- Nonintrusive heat flux quantification using acoustic emissions during pool boiling
- BubbleID: A deep learning framework for bubble interface dynamics analysis
- Unveiling hysteresis of transient boiling: A multimodal perspective
- Supervised and Unsupervised Learning Models for Detection of Critical Heat Flux During Pool Boiling
- Hit2flux: A machine learning framework for boiling heat flux prediction using hit-based acoustic emission sensing
Showing 5 of 12 shared publications
- BubbleID: A deep learning framework for bubble interface dynamics analysis
- Unveiling hysteresis of transient boiling: A multimodal perspective
- Hit2flux: A machine learning framework for boiling heat flux prediction using hit-based acoustic emission sensing
- A Temporal–Spatial Framework for Efficient Heat Flux Monitoring of Transient Boiling
- Unsupervised machine learning framework for non-destructive acoustic emission sensing of flow condensation
Showing 5 of 6 shared publications
- Nonintrusive heat flux quantification using acoustic emissions during pool boiling
- Nonintrusive Heat Flux Quantification Using Acoustic Emissions During Pool Boiling
- Remote Thermal Measurements With Regression of Acoustic Emissions
- Nonintrusive Heat Flux Quantification Using Acoustic Emissions During Pool Boiling
- A Temporal–Spatial Framework for Efficient Heat Flux Monitoring of Transient Boiling
- Unsupervised machine learning framework for non-destructive acoustic emission sensing of flow condensation
- Nonintrusive Boiling Heat Flux Quantification Using Static and Sequential Image Regression
- Introducing LabVIEW and Arduino as Data Acquisition System Alternatives
- Remote Thermal Measurements With Regression of Acoustic Emissions
- Design and fabrication of a low-cost and programmable dip coating machine
- Design and fabrication of a low-cost and programmable dip coating machine
- Design and fabrication of a low-cost and programmable dip coating machine
- Design and fabrication of a low-cost and programmable dip coating machine
- Design and fabrication of a low-cost and programmable dip coating machine
- Multimodal Characterization of Steady-State and Transient Boiling Heat Transfer
- Multimodal Characterization of Steady-State and Transient Boiling Heat Transfer
- Introducing LabVIEW and Arduino as Data Acquisition System Alternatives
- Infusing High-Performance Computing and Machine Learning in Mechanical Engineering Education
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