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) ...

This is read by an automated voice. Please report any issues or inconsistencies here. To the editor: The importance of math literacy cannot be overstated (“Math crisis began a decade ago and has only ...

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

The Backward Euler and Crank–Nicolson methods are solved using a tridiagonal solver implementing the Thomas algorithm. The first and last rows correspond to the boundary conditions, and the interior ...

Red Bull team principal Laurent Mekies has explained the different characteristics of the Marina Bay Circuit in Singapore means the team’s “equations” will “move a bit” to find the optimum setup. The ...