Author

T. Bui-Thanh

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Preprint Aug 2026

Dimension Bridging for 3D RANS with Neural Network Accelerated Gaussian Functional Regression

This work uses Gaussian Functional Regression to learn a correction to a 2D Reynolds-Averaged Navier-Stokes model to predict the aerodynamic coefficients from a 3D RANS model and proposes a novel neural network accelerated kernel, which offers predictions in good agreement while speeding up evaluations by millions of t...

Wesley Lao, Thomas Scott, T. Bui-Thanh et al. · 0 citations

#machine learning Preprint Jun 2026

Second-order consistency for learning chaotic dynamics via randomized Jacobian matching

Short-horizon accuracy does not ensure that a learned chaotic system has correct long-time dynamics. Trajectory (zeroth-order) matching constrains vector-field values, and Jacobian (first-order) matching constrains local tangent dynamics, but neither determines how the Jacobian varies away from supervised states, so a...

Shinhoo Kang, H. V. Nguyen, T. Bui-Thanh · 0 citations

Open access Jul 2026

Short‐Term Hourly Weather Forecasting Using PredRNN With Image Preprocessing

Global weather forecast models are vital tools with numerous applications, including public safety, agriculture, and transportation. Recent advancements in artificial intelligence (AI) and deep learning (DL) have shown the potential to enhance weather forecasting accuracy and speed. In this study, we developed a shor...

Hoang Tran, Hao Li, Vinh Ngoc Tran et al. · Journal of Geophysical Resea... · 0 citations