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Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-07
C
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.
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7 h-index
29 pubs
140 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Christy Dunlap's research focuses on the investigation of heat transfer phenomena, particularly during pool boiling processes. Her work employs machine learning frameworks for prediction and analysis, as seen in the development of BubbleID for bubble interface dynamics and Hit2flux for boiling heat flux prediction using acoustic emission sensing. Dunlap also studies hysteresis in transient boiling and explores multimodal perspectives for a comprehensive understanding of these complex thermal processes.
She has explored nonintrusive methods for heat flux quantification using acoustic emissions and has published on supervised and unsupervised learning models for detecting critical heat flux during pool boiling. Dunlap has also contributed to the development of practical laboratory tools, including a low-cost programmable dip coating machine and alternative data acquisition systems using LabVIEW and Arduino. Her collaborations include extensive work with Han Hu, Changgen Li, Ethan Weems, and Jackson Marsh at the University of Arkansas at Fayetteville.
Metrics
- h-index: 7
- Publications: 29
- Citations: 140
Selected Publications
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BoilingBench-CV Dataset (2026)
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BoilingBench-CV Dataset (2026)
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Dataset of subatmospheric pool boiling of water on copper surfaces (2026)
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Boiling hysteresis versus maximum wall temperature at 10 kPa (2026)
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Dataset of subatmospheric pool boiling of water on copper surfaces (2026)
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Boiling hysteresis versus maximum wall temperature at 10 kPa (2026)
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BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset (2026)
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BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset (2026)
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Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy (2026)
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Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy (2026)
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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)
Collaboration Network
Top Collaborators
Han Hu
University of Arkansas at Fayetteville
24 shared publications
In database
- 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
- Introducing LabVIEW and Arduino as Data Acquisition System Alternatives
- Design and fabrication of a low-cost and programmable dip coating machine
Showing 5 of 24 shared publications
Hari Pandey
University of Arkansas at Fayetteville
13 shared publications
In database
- 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 13 shared publications
Mohammad Ishraq Hossain
University of Arkansas at Fayetteville
8 shared publications
In database
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
- Boiling hysteresis versus maximum wall temperature at 10 kPa
Showing 5 of 8 shared publications
Changgen Li
University of Arkansas at Fayetteville
6 shared publications
In database
- 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
Annapurna Parjuli
University of Arkansas at Fayetteville
6 shared publications
In database
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Boiling hysteresis versus maximum wall temperature at 10 kPa
- Dataset of subatmospheric pool boiling of water on copper surfaces
- Boiling hysteresis versus maximum wall temperature at 10 kPa
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
Stephen Pierson
University of Arkansas at Fayetteville
4 shared publications
In database
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
Daniel Curl
University of Arkansas at Fayetteville
4 shared publications
In database
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
Hari Pandey
University of Arkansas at Fayetteville
4 shared publications
In database
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
- BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset
- BoilingBench-CV Dataset
- BoilingBench-CV Dataset
Zulkar Nain Prince
University of Arkansas at Fayetteville
4 shared publications
In database
- Boiling hysteresis versus maximum wall temperature at 10 kPa
- Dataset of subatmospheric pool boiling of water on copper surfaces
- Boiling hysteresis versus maximum wall temperature at 10 kPa
- Dataset of subatmospheric pool boiling of water on copper surfaces
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
Firas Al-Hindawi
King Fahd University of Petroleum and Minerals (SA)
2 shared publications
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
Braden Stevens
University of Arkansas at Fayetteville
2 shared publications
In database
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
Chinmaya Joshi
University of Arkansas at Fayetteville
2 shared publications
In database
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
Similar Researchers
Based on overlapping research topics
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