LabCompass

Naxian Ni

Physics and Astronomy · Purdue University West Lafayette

OpenAlex
Early career · publishing since 2019
Model Reduction and Neural NetworksMachine Learning and ELMNeural Networks and ApplicationsComputational Fluid Dynamics and AerodynamicsNeural Networks and Reservoir Computing

Publications

10

Citations

219

Est. group size

—

Recurring co-author estimate

Active years

8

Publishing since 2019

Research summary
AI-generated

Naxian Ni works at the intersection of physics and machine learning, focusing on computational methods that combine physics-based models with neural networks. The available public record is very limited, with only a couple of listed publications, both associated with Purdue University and centered on physics-informed machine learning approaches.

Physics-informed machine learningNeural networksComputational methodsModel reductionFluid dynamics applications

Publication counts have been low and irregular over the past decade, with a small uptick to a few publications per year around 2025-2026.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.4/year recently
17182019: 1 publication192020: 1 publication202021: 1 publication212022: 1 publication222023: 1 publication23242025: 3 publications3252026: 2 publications26
Recent publications
Publishes in
  • Journal of Computational Physics×3
  • arXiv (Cornell University)×2
  • Purdue×2
  • Journal of Scientific Computing×1
  • SSRN Electronic Journal×1
Similar researchers
By research-topic overlap
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  • Xihaier Luo

    Physics and Astronomy · The Ohio State University

  • Min Liu

    Physics and Astronomy · Purdue University West Lafayette

  • Amirhossein Mollaali

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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 20, 2026.

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