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We are grateful for the many thoughtful comments and feedback from the community regarding DFT, ranging from discussions of related ideas to reports of its application in different scenarios. We have ...

To address the issues of low accuracy, high dependence on prior knowledge, and poor adaptability in fusing multi-channel features in existing plunger pump fault diagnosis methods, a new method based ...

High-precision GNSS applications, such as real-time displacement monitoring and vehicle navigation, rely heavily on resolving carrier-phase ambiguities. However, traditional methods like the R-ratio ...

Attention-based architectures are a powerful force in modern AI. In particular, the emergence of in-context learning abilities enables task generalization far beyond the original next-token prediction ...

Department of Chemistry and Research Institute for Natural Science, Korea University, Seoul 02841, Korea ...

At the Monday, March 24 the 4-H Art Club meeting, students explored the technique of linear perspective using double vanishing points. Instructed by Janet Penn, students were tasked to draw cubes in ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this work, we describe the development of a new algorithm for the computation of ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...