1 paper
Kwame Agyei-Baah, Muhammad Rizwanur Rahman, E. R. Smith
Modelling fluid dynamics with machine learning (ML) has advanced rapidly, yet most data driven approaches remain opaque because they rely on complex architectures to capture nonlin…