LabCompass

Sean Current

Physics and Astronomy · The Ohio State University

OpenAlex ORCID
Early career · publishing since 2020
Model Reduction and Neural NetworksFluid Dynamics and Turbulent FlowsGenerative Adversarial Networks and Image SynthesisEthics and Social Impacts of AIClick Chemistry and Applications

Publications

13

Citations

20

Est. group size

~1

Recurring co-author estimate

Active years

7

Publishing since 2020

Research summary
AI-generated

Sean Current works at the intersection of machine learning and physical/biological modeling, applying neural networks and generative models to problems like fluid dynamics simulation, molecular design, and mosquito population prediction. Recent work focuses on using AI to speed up or improve simulations of complex systems, such as compressible fluid flows and structure-constrained molecule generation.

Neural network models for physical simulationFluid dynamics and turbulence modelingGenerative models for molecular designMachine learning for population/ecological modelingGPU computing for scientific applications

Publication output was minimal or absent in the earlier part of the decade but has increased noticeably since 2024, with the highest activity in 2025 and 2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.0/year recently
1718192020: 1 publication202021: 2 publications212022: 2 publications22232024: 1 publication242025: 4 publications4252026: 3 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×3
  • Journal of Cheminformatics×2
  • Topics in Cognitive Science×1
  • UA Campus Repository (The University of Arizona)×1
  • PLoS Computational Biology×1
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By research-topic overlap
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  • Changhong Mou

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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