It can take years for humans to solve complex scientific problems. With AI, it can take a fraction of the time.

The RK methods have been used in numerous engineering areas. Traditionally, the RK methods have been used to solve first-order ordinary differential equations numerically. Recently, on the other hand, ...

We propose and experimentally demonstrate an on-chip silicon photonic differential-equation solver that can be used to solve second-order constant-coefficient ordinary-differential-equations (ODEs).

By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs). In ...