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 ...

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 ...

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 ...

Learn how free IIT courses on SWAYAM are breaking barriers, offering quality education, and helping students and professionals upskill with ease. UPSKILLING ...

Researchers from China's Shandong University have proposed a new methodology for the quantitative prediction of excess kerf loss caused by lateral vibration of diamond wire wafer cutting in solar ...

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) ...

Learn the essential tools and frameworks for creating intelligent AI agents that revolutionize industries and solve complex ...