Match tier Likely match
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-08

Daniel Curl

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

12 pubs

Biography and Research Information

OverviewAI-generated summary

Daniel Curl's research focuses on developing open-source tools and datasets for data-driven modeling of multiphase transport and thermal systems. His recent work includes the creation of CFDTwin, a graphical user interface and Python toolkit designed for surrogate modeling of ANSYS Fluent simulations using POD-NN methods. Curl has also published design files for hand-operated and motorized twisted pair preparation devices and investigated novel stator slot architectures and immersion end-winding cooling for high-stability permanent magnet assisted synchronous reluctance motors (PMaSynRM). His collaborations include work with Han Hu, Ethan Lett, Rowan Swendner, and Luke Allison, all from the University of Arkansas at Fayetteville, with whom he has co-authored multiple publications.

Metrics

  • Publications: 12

Selected Publications

  • 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 Multimodal Datasets and Open-Source Software for Data-Driven Modeling of Multiphase Transport and Thermal Systems (2026)
    arXiv (Cornell University) 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 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)

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Collaboration Network

23 Collaborators 1 Institution 1 Country

Top Collaborators

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