Match tier Confirmed
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-10-05

Daniel Curl

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

Senior Graduate Assistant

Also affiliated: University of Arkansas Community College at Batesville (2026)

1 h-index 14 pubs 1 cited

Biography and Research Information

OverviewAI-generated summary

Daniel Curl's research focuses on the application of machine learning and advanced computational techniques to thermal sciences, particularly in the context of electronics cooling and two-phase heat transfer. He has contributed to the development of physically interpretable surrogate modeling for thermal fields, combining proper orthogonal decomposition with neural networks. His work also involves creating and analyzing multimodal datasets for flow-boiling phenomena, such as the BubbleID-Flow and BoilingBench-Multimodal Lite datasets. Curl has published reviews on the use of open datasets and machine learning in two-phase heat transfer, categorizing them by spatial-temporal taxonomy. His collaborations include work with Han Hu, Ethan Lett, Rowan Swendner, and Luke Allison at the University of Arkansas at Fayetteville, with whom he shares multiple publications.

Metrics

  • h-index: 1
  • Publications: 14
  • Citations: 1

Positions

  • Senior Graduate Assistant 2025–present
    University of Arkansas at Fayetteville Mechanical Engineering ORCID

Selected Publications

  • BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset (2026)
    Zenodo (CERN European Organization for Nuclear Research) DOI OpenAlex
  • BoilingBench-Multimodal Lite: Multimodal Boiling and Thermal-Management Benchmark Dataset (2026)
    Zenodo (CERN European Organization for Nuclear Research) DOI OpenAlex
  • Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy (2026)
    Transport Phenomena DOI OpenAlex
  • Design files for hand-operated and motorized twisted pair preparation devices (2026)
    DRYAD DOI OpenAlex
  • CFDTwin: An open-source GUI and Python toolkit for POD-NN surrogate modeling of ANSYS Fluent simulations (2026)
    arXiv (Cornell University) OpenAlex
  • Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy (2026)
    arXiv (Cornell University) DOI OpenAlex
  • Design Files for Hand-Operated and Motorized Twisted Pair Preparation Devices (2026)
    Zenodo (CERN European Organization for Nuclear Research) DOI OpenAlex
  • Design Files for Hand-Operated and Motorized Twisted Pair Preparation Devices (2026)
    Zenodo (CERN European Organization for Nuclear Research) DOI OpenAlex
  • Design of High Stability PMaSynRM Using Novel Stator Slots Architecture and Immersion End-Winding Cooling (2026)
  • Physically interpretable surrogate modeling of thermal fields in electronics cooling using combined proper orthogonal decomposition and neural networks (2026)
    AI Thermal Fluids 1 citation DOI OpenAlex
  • Data from: Physically interpretable surrogate modeling of thermal fields in electronics cooling using combined proper orthogonal decomposition and neural networks (2026)
    DRYAD DOI OpenAlex
  • End-Winding Geometry Optimization in Electric Machines Using Adaptive Gradient Algorithm (2025)

View all publications on OpenAlex →

Collaboration Network

32 Collaborators 4 Institutions 2 Countries

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