A physics-informed neural network for supersonic strut-injector flowfield prediction under varying Mach numbers
Rapid flowfield prediction is essential for scramjet-related hydrogen injection and mixing under varying Mach numbers. This study develops a physics-informed neural network for a Deutsches Zentrum für Luft- und Raumfahrt-type supersonic strut-injector configuration under non-reacting hydrogen–air mixing conditions. Val...