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Deep Transformer Networks for Time Series Classification: The NPP Safety Case
An advanced temporal neural network referred to as the Transformer is used within a supervised learning fashion to model the time-dependent NPP simulation data and to infer whether a given sequence of events leads to core damage or not.
Turbulence closure modeling with data-driven techniques: Investigation of generalizable deep neural networks
Generalizability of machine-learning (ML) based turbulence closures to accurately predict unseen practical flows remains an important challenge.
Fluid Dynamics Computational Physics Data Analysis, Statistics and Probability
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