no code implementations • 29 May 2020 • Manuel A. Roehrl, Thomas A. Runkler, Veronika Brandtstetter, Michel Tokic, Stefan Obermayer
In this paper, we present physics-informed neural ordinary differential equations (PINODE), a hybrid model that combines the two modeling techniques to overcome the aforementioned problems.
