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 ...

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

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

This is a preview. Log in through your library . Journal Information The oldest mathematics journal in the Western Hemisphere in continuous publication, the American Journal of Mathematics ranks as ...

Abstract: Neural operators are a class of neural networks to learn mappings between infinite-dimensional function spaces, and recent studies have shown that using neural operators to solve partial ...

Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...

Using electrochemical impedance spectroscopy (EIS) techniques to help obtain battery working conditions like SOH and SOC.

Dana Santas, known as the “Mobility Maker,” is a certified strength and conditioning specialist and mind-body coach in professional sports, and is the author of the book “Practical Solutions for Back ...

This novel attack chains the intended behavior of both MiniDumpWriteDump and WerFaultSecure, so this is more of a design weakness than a vulnerability in Windows. Defending against EDR-Freeze is ...

A review in the International Journal of Smart Technology and Learning discusses the research literature on social media surveillance. It highlights how the practice has become a central feature of ...

Three paths to success by Frédéric Dalsace and Goutam Challagalla When companies market the sustainability features of their offerings, they often overlook a fundamental truth: Social and ...