More than a century after Srinivasa Ramanujan scribbled his astonishing formulas for π in notebooks in India and England, ...

In this video, we explore how Young's Modulus is related to the interatomic spring constant. Learn how materials deform under stress and how the microscopic forces between atoms affect the overall ...

A classic math rule now handles infinity. New work strengthens the math behind physics and unbounded systems. % ...

Abstract: Physics-informed neural networks (PINNs) have recently been utilized to tackle wave equation-based forward and inverse problems. However, they encounter challenges in accurately predicting ...

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Erika Rasure is globally-recognized as a leading consumer economics subject matter expert, ...

The text is now best known for introducing “Pascal’s Law” or “Principle,” that any change of pressure in an enclosed incompressible fluid (like water) is transmitted equally to all points within the ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...

Abstract: Solving Maxwell's equations is crucial in various fields, like electromagnetic scattering and antenna design optimization. Physics-informed neural networks (PINNs) have shown powerful ...

Physicists have transformed a decades-old technique for simplifying quantum equations into a reusable, user-friendly "conversion table" that works on a laptop and returns results within hours. When ...

This project implements a Physics-Informed Neural Network (PINN) from scratch using NumPy to solve ODE The network computes all derivatives manually (no autograd) and trains using a physics loss + ...