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) ...
We introduce the variational physics informed neural networks – a general framework to solve differential equations. For more information, please refer to the following: Kharazmi, Ehsan, Zhongqiang ...
This project is part of Julia's Season of Contribution 2019. For an introduction to the algorithms and an overview of the features, you can take a look at the blog posts: #1, #2.
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