Christy Dunlap Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Fayetteville

faculty

6 h-index 17 pubs 95 cited

Research Areas

Advanced Neural Network Applications Heat Transfer and Phase Change Phenomena Experimental Apparatus Design and Fabrication Machine Learning for Scientific Applications Fluid Dynamics and Turbulent Flows

Links

ORCID Lab Website

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OverviewAI-generated summary

Christy Dunlap's research centers on understanding and improving heat transfer processes, particularly in boiling phenomena. She has explored the use of acoustic emissions for nonintrusive heat flux quantification during pool boiling and developed machine learning frameworks, such as BubbleID and Hit2flux, for analyzing bubble dynamics and predicting critical heat flux. Her work also involves multimodal characterization of steady-state and transient boiling heat transfer, aiming to unveil complex behaviors like hysteresis.

Dunlap has also investigated the practical aspects of experimental setup, contributing to the design and fabrication of low-cost equipment like a programmable dip coating machine and exploring alternatives for data acquisition systems using LabVIEW and Arduino. Her scholarship metrics include an h-index of 6, 17 total publications, and 95 total citations. Key collaborators at the University of Arkansas at Fayetteville include Han Hu (14 shared publications), Changgen Li (6 shared publications), and Ethan Weems (4 shared publications).

Metrics

  • h-index: 6
  • Publications: 17
  • Citations: 95

Selected Publications

  • Hit2flux: A machine learning framework for boiling heat flux prediction using hit-based acoustic emission sensing (2025) DOI
  • Unveiling hysteresis of transient boiling: A multimodal perspective (2024) DOI
  • Unveiling Hysteresis of Transient Boiling: A Multimodal Perspective (2024) DOI
  • A Temporal–Spatial Framework for Efficient Heat Flux Monitoring of Transient Boiling (2024) DOI
  • BubbleID: A deep learning framework for bubble interface dynamics analysis (2024) DOI
  • Infusing High-Performance Computing and Machine Learning in Mechanical Engineering Education (2024) DOI
  • Introducing LabVIEW and Arduino as Data Acquisition System Alternatives (2024) DOI
  • Multimodal Characterization of Steady-State and Transient Boiling Heat Transfer (2023) DOI
  • Remote Thermal Measurements With Regression of Acoustic Emissions (2023) DOI
  • Nonintrusive Boiling Heat Flux Quantification Using Static and Sequential Image Regression (2023) DOI
  • Nonintrusive heat flux quantification using acoustic emissions during pool boiling (2023) DOI
  • Nonintrusive Heat Flux Quantification Using Acoustic Emissions During Pool Boiling (2022) DOI
  • Nonintrusive Heat Flux Quantification Using Acoustic Emissions During Pool Boiling (2022) DOI
  • Design and fabrication of a low-cost and programmable dip coating machine (2022) DOI
  • Supervised and Unsupervised Learning Models for Detection of Critical Heat Flux During Pool Boiling (2022) DOI

Collaborators

Researchers in the database who share publications

Han Hu University of Arkansas at Fayetteville 14 shared publications Changgen Li University of Arkansas at Fayetteville 6 shared publications Ethan Weems University of Arkansas at Fayetteville 4 shared publications Skylar Featherstone University of Arkansas at Fayetteville 1 shared publication Man Vu University of Arkansas at Fayetteville 1 shared publication Stephen W. Pierson University of Arkansas at Fayetteville 1 shared publication Stephen Pierson University of Arkansas at Fayetteville 1 shared publication

Similar Researchers

Based on overlapping research topics

Mathieu Rodriguez University of Arkansas at Fayetteville
Advanced Neural Network Applications Fluid Dynamics and Turbulent Flows
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Tülin Kaman University of Arkansas at Fayetteville
Advanced Neural Network Applications Fluid Dynamics and Turbulent Flows
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