14 machine-learning "https:" "https:" "https:" "https:" "https:" uni jobs at Politecnico di Milano in Italy
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performance and remaining useful life prognostics, combining experimental data with physics-based and statistical models. A key role is played by Artificial Intelligence and Machine Learning techniques
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materials according to the Lambert–Beer law, thus enabling an accurate description of PEC device behavior. In parallel, the coupling between kMC and CFD simulations will be achieved through machine learning
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, early detection of degradation, and residual life prediction. The program integrates physical modeling, machine learning, and data fusion techniques to optimize predictive maintenance, reduce operating
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include: (1) implementing light–matter interaction in CFD via the radiation transport equation and suitable attenuation models; (2) integrating kMC-based surface kinetics through machine-learning surrogate