The use of machine learning algorithms to predict behaviors of complex systems is booming.
However, the key to an effective use of machine learning tools in multi-physics problems,
including combustion, is to couple them to physical and computer models. The performance
of these tools is enhanced if all the prior knowledge and the physical constraints are
embodied. In other words, the scientific method must be adapted to bring machine learning
into the picture, and make the best use of the massive amount of data we have produced …

The use of machine learning algorithms to predict behaviors of complex systems is booming.
However, the key to an effective use of machine learning tools in multiphysics problems,
including combustion, is to couple them to physical and computer models. The performance
of these tools is enhanced if all the prior knowledge and the physical constraints are
embodied. In other words, the scientific method must be adapted to bring machine learning
into the picture, and make the best use of the massive amount of data we have produced …