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

In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...

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 ...

Abstract: A multitrace surface integral equation (MT-SIE) solver is proposed to analyze electromagnetic field interactions on composite devices involving magnetized and nonmagnetized graphene sheets.

! with fixed-leading-coefficient implementation. ! this version is in double precision. ! dvode solves the initial value problem for stiff or nonstiff ! systems of first order odes, ! dy/dt = f(t,y) , ...

I make short, to-the-point online math tutorials. I struggled with math growing up and have been able to use those experiences to help students improve in math through practical applications and tips.

Learn how to solve two step linear equations. A linear equation is an equation whose highest exponent on its variable(s) is 1. To solve for a variable in a two step linear equation, we first isolate ...