README.txt This framework contains the results submitted on the paper "Polynomial Differentiation via Sobolev Cubatures fastens Physics Informed Neural Nets and strengthens their Approximation Power", submitted to IOP - Machine Learning: Science and Technology.
The code was developed by Juan-Esteban Suarez : [email protected], under the supervision of:
- Dr. Michael Hecht : [email protected] All members of the Center for Advanced Systems Understanding (CASUS)