Abstract: Physics-informed neural networks (PINNs) offer a flexible framework for solving differential equations using physical constraints and data. This study focuses on second-order ...

Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...

The team has improved the capabilities of physics-informed neural networks (PINNs), a type of artificial intelligence that incorporates physical laws into the learning process. Researchers from the ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Free download: Generative AI with Python and PyTorch, Second Edition (worth $38.99) Offered by Wiley, view other free resources The below offers are also available for free in exchange for your (work) ...

Researchers from the Institute of Cosmos Sciences of the University of Barcelona (ICCUB) have developed a new framework based on machine learning ...

The oldest mathematics journal in the Western Hemisphere in continuous publication, the American Journal of Mathematics ranks as one of the most respected and celebrated journals in its field.

In the moments following the Sept. 10, 2025, shooting of Turning Point USA CEO and co-founder Charlie Kirk in Utah, online users shared an alleged quote from the conservative political pundit about ...

Abstract: In this paper, a novel approach leveraging artificial neural networks is introduced to approximate solutions for partial differential equations. The one ...

CÆLUM is a hydrodynamic solver for compressible flows, which solves the Euler equations of gas dynamics by means of very high order essentially non-oscillatory finite volume schemes in cartesian ...

Agency Contact: Irina Asoskov, Assistant Division Chief, Pricing Policy Div., Federal Communications Commission, Wireline Bureau, 45 L Street NE, Washington, DC 20554 Abstract: On October 22, 2015, ...