The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...
Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...
The 2024 Nobel Prize in Physics has been awarded to scientists John Hopfield and Geoffrey Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural ...
AZoCleantech on MSN
New framework for predicting TAIs in hydrogen combustion
Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving real-time monitoring and combustion safety.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback