Physics informed token transformer for solving partial differential equations
Cooper Lorsung,
Zijie Li,
Amir Barati Farimani
Abstract:Solving Partial Differential Equations (PDEs) is the core of many fields of science and engineering. While classical approaches are often prohibitively slow, machine learning models often fail to incorporate complete system information. Over the past few years, transformers have had a significant impact on the field of Artificial Intelligence and have seen increased usage in PDE applications. However, despite their success, transformers currently lack integration with physics and reasoning. This study aims to … Show more
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