2 papers
physics.chem-ph2024
Probabilistic transfer learning methodology to expedite high fidelity simulation of reactive flows
Bruno S. Soriano, Ki Sung Jung, Tarek Echekki +2
Reduced order models based on the transport of a lower dimensional manifold representation of the thermochemical state, such as Principal Component (PC) transport and Machine Learn…
physics.chem-ph2023
Transfer learning for predicting source terms of principal component transport in chemically reactive flow
Ki Sung Jung, Tarek Echekki, Jacqueline H. Chen +1
The objective of this study is to evaluate whether the number of requisite training samples can be reduced with the use of various transfer learning models for predicting, for exam…