Uncertainty quantification study of the physics-informed machine learning models for critical heat flux prediction
Accurate prediction of critical heat flux (CHF) is important for enhancing the reliability and
efficiency of systems used in the energy and power engineering sectors. Traditional physical …
efficiency of systems used in the energy and power engineering sectors. Traditional physical …
Validation and Uncertainty Quantification of Transient Reflood Models Using COBRA-TF and Machine Learning Techniques Based on the NRC/PSU RBHT …
Y Jin, SM Bajorek, FB Cheung - Nuclear Science and Engineering, 2023 - Taylor & Francis
The accurate prediction of the fluid flow mass and the heat transfer process as well as the
system response during reflood transients has long been a critical and challenging issue for …
system response during reflood transients has long been a critical and challenging issue for …
Hybrid Deep Convolutional Neural Networks Combined with Autoencoders and Augmented Data to Predict the Look-Up Table 2006
M Djeddou, J Al Dallal, A Hellal… - … on Decision Aid …, 2024 - ieeexplore.ieee.org
Lookup tables derived from empirical research contain limited data for critical heat flux
(CHF). Machine learning techniques can be employed to create CHF prediction models by …
(CHF). Machine learning techniques can be employed to create CHF prediction models by …
Knowledge-Informed Uncertainty-Aware Machine Learning for Time Series Forecasting of Dynamical Engineered Systems
The high complexity and multiscale nature of many engineered systems—such as those in
nuclear power plants—make representing and forecasting their dynamic behavior …
nuclear power plants—make representing and forecasting their dynamic behavior …
An Optimized Stacking Ensemble Learning Model Using 3-Pyramids Technique for the 2006 CHF Groeneveld Look Table Prediction
M Djeddou, J Al Dallal, A Hellal… - … & Computer Science …, 2023 - ieeexplore.ieee.org
Typically, critical heat flux (CHF) look-up tables constructed based on physical experiments
have limited data. Using available experimental-based CHF look-up tables as training data …
have limited data. Using available experimental-based CHF look-up tables as training data …
[PDF][PDF] Internship offer: Development and Uncertainty Quantification of Machine Learning Models for Critical Heat Flux predictions
J NESPOULOUS, S LIAD - PROPOSITIONS DE STAGES 2025 AU CEA/STMF - ljll.fr
The internship will be conducted at the Department of Thermal-hydraulics and Fluid
dynamics (STMF–Service de Thermohydraulique et de Mécanique de Fluide) within the …
dynamics (STMF–Service de Thermohydraulique et de Mécanique de Fluide) within the …