Work Ongoing and Future Recommendations

Machine learning models are built on data, and by design they do not incorporate any physical law (such as mass and energy balance) and do not extrapolate well beyond the range of the training data. Historically, physical modelling and machine learning have generally been treated as two different fields or avenues with very different scientific paradigms (theory-driven versus data-driven, as depicted in Fig. 10.1).