C
Christy Dunlap Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
6 h-index
17 pubs
111 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Christy Dunlap's research focuses on advancing the understanding of heat transfer phenomena, particularly in the context of boiling processes. Her work utilizes machine learning and artificial intelligence to predict critical heat flux and heat transfer coefficients, as demonstrated by the development of frameworks like BubbleID and Hit2flux. Dunlap also investigates multimodal characterization techniques for steady-state and transient boiling heat transfer, employing acoustic emissions and other sensing methods to quantify heat flux nonintrusively. Her publications explore hysteresis in transient boiling and the design of experimental apparatus, including low-cost dip coating machines and data acquisition systems using LabVIEW and Arduino. Dunlap collaborates with researchers at the University of Arkansas at Fayetteville, including Han Hu and Changgen Li, with whom she shares multiple publications.
Metrics
- h-index: 6
- Publications: 17
- Citations: 111
Selected Publications
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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)
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Design and fabrication of a low-cost and programmable dip coating machine (2022)
Collaboration Network
Top Collaborators
Han Hu
University of Arkansas at Fayetteville
15 shared publications
In database
- 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
- Supervised and Unsupervised Learning Models for Detection of Critical Heat Flux During Pool Boiling
Showing 5 of 15 shared publications
Hari Pandey
University of Arkansas at Fayetteville (US)
13 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
- Nonintrusive Heat Flux Quantification Using Acoustic Emissions During Pool Boiling
Showing 5 of 13 shared publications
Changgen Li
University of Arkansas at Fayetteville (US)
6 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
Ethan Weems
University of Arkansas at Fayetteville
4 shared publications
In database
- 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
Ying Sun
University of Cincinnati (US)
3 shared publications
- 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
Jackson Marsh
University of Arkansas at Fayetteville
2 shared publications
In database
- Introducing LabVIEW and Arduino as Data Acquisition System Alternatives
- Remote Thermal Measurements With Regression of Acoustic Emissions
Hu Han
2 shared publications
- Infusing High-Performance Computing and Machine Learning in Mechanical Engineering Education
- BubbleID: A Deep Learning Framework for Bubble Interface Dynamics Analysis
Ngan Le
University of Arkansas at Fayetteville (US)
2 shared publications
- BubbleID: A deep learning framework for bubble interface dynamics analysis
- BubbleID: A Deep Learning Framework for Bubble Interface Dynamics Analysis
Skylar Featherstone
University of Arkansas at Fayetteville
1 shared publication
In database
- Design and fabrication of a low-cost and programmable dip coating machine
Matthew Smith
University of Arkansas at Fayetteville (US)
1 shared publication
- Design and fabrication of a low-cost and programmable dip coating machine
Man Vu
University of Arkansas at Fayetteville
1 shared publication
In database
- Design and fabrication of a low-cost and programmable dip coating machine
Amanda Williams
University of Arkansas at Fayetteville (US)
1 shared publication
- Design and fabrication of a low-cost and programmable dip coating machine
Jason A. Bailey
University of Arkansas at Fayetteville (US)
1 shared publication
- Design and fabrication of a low-cost and programmable dip coating machine
Amanda C de C Williams
University of Arkansas at Fayetteville (US)
1 shared publication
- Multimodal Characterization of Steady-State and Transient Boiling Heat Transfer
J MARSH
University of Arkansas at Fayetteville (US)
1 shared publication
- Multimodal Characterization of Steady-State and Transient Boiling Heat Transfer
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