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General Motors (Poland)

Poland

2 papers here2 citations across 2
fields
  • cs.CV1
  • physics.flu-dyn1
ROR 03n3nz506OpenAlex

affiliations via OpenAlex

most citedInvestigation of Numerical Diffusion in Aerodynamic Flow Simulations with Physics Informed Neural Networks

2 citations

researchers with a paper here
  • A. Warey1 · h 20
  • B. Musser1 · h 2
  • Chenhui Shao1 · h 6
  • Guangze Li1 · h 1
  • Jorge Arinez1 · h 1
  • Ruo-Syuan Mei1 · h 2
  • Sixian Jia1 · h 4
  • S. Kaushik1 · h 9
  • S. Lee1 · h 7
  • Sreten Zakula1 · h 1
  • T. Han1 · h 5
  • William Keller1 · h 1
collaborating institutions
  • General Motors (United States)US1 paper
  • University of MichiganUS1 paper

2 papers

physics.flu-dyn2025★ 2 cited

Investigation of Numerical Diffusion in Aerodynamic Flow Simulations with Physics Informed Neural Networks

Alok Warey, Taeyoung Han, Shailendra Kaushik

Computational Fluid Dynamics (CFD) simulations are used for many air flow simulations including road vehicle aerodynamics. Numerical diffusion occurs when local flow direction is n…

cs.CV2025

Hybrid Synthetic Data Generation with Domain Randomization Enables Zero-Shot Vision-Based Part Inspection Under Extreme Class Imbalance

Ruo-Syuan Mei, Sixian Jia, Guangze Li +6

Machine learning, particularly deep learning, is transforming industrial quality inspection. Yet, training robust machine learning models typically requires large volumes of high-q…

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