2021 年 63 巻 203 号 p. 37-43
Turbulent combustion modelling is one of most difficult topics in turbulent combustion community. There are many models are proposed so far, and recent development in machine learning (ML) technique shed light onto the application of ML on turbulent combustion modelling. This paper introduces several examples of turbulent combustion modelling utilizing machine learning with varied approaches, in conjunction with the conventional modelling approaches. Several important issues arising when applying developed machine learning model are also mentioned.