Papers

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Assessment of Physics-Informed Neural Networks (PINNs) with Transfer Learning (TL) for Incompressible Turbulent Flows

10:00–10:20AM EST

Yew Hoe Wong (Imperial College London), Yu Duan (Imperial College London), Lisa Lampunio (Imperial College London), Matthew D. Eaton (Imperial College London), Michael J.Bluck (Imperial College London)

Paper

Prediction and Uncertainty Quantification of Critical Heat Flux -- A Comparison Between Generative Conditional VAEs and DNNs

10:20–10:40AM EST

Farah Ra'ed H. Alsafadi (NCSU), Aidan Furlong (NCSU), Xu Wu (NCSU)

Paper

BISON-Machine-Learning Hybrid Approach for Predicting the Thermal Behaviors in Advanced Test Reactor Capsules

10:40–11:00AM EST

Han Bao (INL), Takanori Kajihara (INL), Austin D. Fleming (INL), Ryan T. Sweet (INL), Adam Zabriskie (INL)

Paper

Quantifying Model Uncertainty of Neural-Network Based Turbulence Closures

11:00–11:20AM EST

Cody Grogan (Utah State), Som Dutta (Utah State), Mauricio E. Tano (INL), Somayajulu Dhulipala (INL), Izabela Gutowska (Oregon State)

Paper

Machine Learning and Artificial Intelligence in Critical Heat Flux Prediction and Uncertainty Analysis in Single Channel Heated Systems

11:20–11:40AM EST

christopher lepore (Delta Energy Group New York), Bao-wen Yang (Delta Energy Group New York), Eric Yang (Delta Energy Group New York), Jeremy Silber (Delta Energy Group New York), Stephanie Yang (Delta Energy Group New York)

Paper

Discussion

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