DeepMind’s AI finds new, proven solutions to Navier-Stokes equations—advancing fluid dynamics and future climate, flight, and ...

Spintronics is an emerging field that leverages the spin, or the intrinsic angular momentum, of electrons. By harnessing this ...

Find out how a digital technique performs multiplication on two bitstreams and avoids the cost of the analog multiplier.

Abstract: This paper focuses on using zero-stable multistep formulae with evenly spaced off-grid points to numerically simulate differential equations originating from applied mathematics and ...

Abstract: Many problems in science and engineering can be mathematically modeled using partial differential equations (PDEs), which are essential for fields like computational fluid dynamics (CFD), ...

Neural networks inspired by differential equations have proliferated for the past several years. Neural ordinary differential equations (NODEs) and neural controlled differential equations (NCDEs) are ...

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 ...

Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China Background: This study aimed to compare clinical outcomes in NMOSD patients with ...

Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...

On the other hand, few-step generative models (such as the Consistency/Shortcut series) achieve rapid generation through ...

How did digits evolve? While it is clear that they derive from genetic programs already present in fish, their precise origin ...