Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
It is concluded that progress in two-phase AI now depends as much on findable, decodable, benchmarkable, benchmarkable, and physically interpretable data infrastructure as on model architecture.
Christy Dunlap, Ridwan Olabiyi, Firas Al-Hindawi فراس الهنداوي et al.
· Transport Phenomena · 0 citations