Abstract: Boundary value problems involving elliptic PDEs such as the Laplace and the Helmholtz equations are ubiquitous in mathematical physics and engineering. Many such problems can be ...

Python isn’t just for coding—it’s a powerful ally for solving complex mathematical problems. From symbolic algebra to simulations and optimization, its libraries turn abstract concepts into practical ...

It’s the same math that explains how, under the right conditions, the atmosphere above a barren plain can produce a roiling ...

Abstract: The main novelty of using Physics Informed Neural Net (PINN) for electostatic field modeling is that it exploits the underlying physics law when training deep learning. This is attributed to ...

For years, Rutgers physicist David Shih solved Rubik's Cubes with his children, twisting the colorful squares until the scrambled puzzle returned to order. He didn't expect the toy to connect to his ...