1 citations · 1 across the 4 of their papers we have counts for
4 papers
Dimension Bridging for 3D RANS with Neural Network Accelerated Gaussian Functional Regression
Wesley Lao, Thomas Scott, Tan Bui-Thanh +2
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 intract…
Autoregressive long-horizon prediction of plasma edge dynamics
Hunor Csala, Sebastian De Pascuale, Paul Laiu +3
Accurate modeling of scrape-off layer (SOL) and divertor-edge dynamics is vital for designing plasma-facing components in fusion devices. High-fidelity edge fluid/neutral codes suc…
Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research
Ahmed Almeldein, Mohammed Alnaggar, Rick Archibald +47
The AI for Nuclear Energy workshop at Oak Ridge National Laboratory evaluated the potential of Large Language Models (LLMs) to accelerate fusion and fission research. Fourteen inte…
A Neural Network Approach to Predict Gibbs Free Energy of Ternary Solid Solutions
Paul Laiu, Ying Yang, Massimiliano Lupo Pasini +2
We present a data-centric deep learning (DL) approach using neural networks (NNs) to predict the thermodynamics of ternary solid solutions. We explore how NNs can be trained with a…