Author

T. Bui-Thanh

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Preprint Aug 2026

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

In many computational science and engineering problems, repeatedly solving fully resolved physics-based models to design for a quantity of interest (QoI) can quickly become intractable, requiring the use of low-fidelity models to predict the same QoI but introduce errors where some features are neglected or are otherwi...

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