List

As a result of the BIRS workshop on Scientific Machine Learning in 2023, we wrote an introduction to the corresponding Special Issue in the AIMS Foundations of Data Science: “Scientific Machine Learning: a symbiosis”. We stress that SciML should exist in a symbiotic relationship with the fields of computational science and engineering (CSE) and machine learning (ML).

In addition, I wrote a review article on SciML for closure models together with Romit Maulik, Panos Stinis and Shady Ahmed, which is published in the same special issue: Scientific machine learning for closure models in multiscale problems.

Leave a Reply