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 ...
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Maxwell's Equations in Differential Form Using Stoke's and Divergence Theorems
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 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) ...
py-pde is a Python package for solving partial differential equations (PDEs). The package provides classes for grids on which scalar and tensor fields can be defined. The associated differential ...
The math you thought you would never use again from school is back to haunt you. X users are in an uproar over an equation that @BholanathDutta posted. It appears as a simple equation, but the comment ...
Researchers from the Institute of Industrial Science, The University of Tokyo have applied stochastic optimal control theory ...
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