GitHub

Finite basis physics-informed neural networks (FBPINNs)

This repository allows you to solve forward and inverse problems related to partial differential equations (PDEs) using finite basis physics-informed neural networks (FBPINNs). To improve the ...

Researchers develop AI tool that finds the equations behind complex systems

Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...
IEEE

Solving Non-Homogeneous Linear Ordinary Differential Equations Using Memristor-Capacitor Circuit

Abstract: Inhomogeneous linear ordinary differential equations (ODEs) and systems of ODEs can be solved in a variety of ways. However, hardware circuits that can perform the efficient analog ...
IEEE

Solving Strongly Nonlinear Inverse Scattering Problems for Mixture of Dielectric and PEC With Novel Contraction T-Matrix Equation

Abstract: The classical inverse scattering methods have been developed to reformulate the Lippmann-Schwinger integral equation (LS-IE) for mitigating the nonlinearity, such as the new integral ...