This repository allows you to solve forward and inverse problems related to partial differential equations (PDEs) using finite basis physics-informed neural networks (FBPINNs). To improve the ...
Deep neural networks have garnered widespread attention due to their simplicity and flexibility in the fields of engineering and scientific calculation. In this study ...
Abstract: In this tutorial we briefly review the fundamentals of analog computing. Starting from the historical use of operational amplifiers to solve differential equations, we show how today the ...
Abstract: This paper presents a systematic and innovative data–driven framework for constructing Mutual Information–enhanced NARX–NN Digital Twins (DTs) of power electronic converters, demonstrated on ...
Prior to iOS 18, if you wanted to figure out how to split a bill with your texting group from afar, you'd have to use your calculator app or Spotlight and then switch back to Messages. With iOS 18 you ...
This study offers a valuable theoretical framework for quantifying molecular transport across interfaces between coexisting liquid phases, emphasizing interfacial resistance as a central factor ...
High performance liquid chromatography (HPLC) is a widely used and well-established technique, routinely employed by thousands of analytical scientists worldwide. Nonetheless, certain ...
Earlier this month the Mathematics Institute at Uppsala University hosted a conference called Categorification in Algebra and Topology, clearly a theme close to our collective heart. As yet there are ...
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