In this study, we analyze a 3rd type of FBAR's fundamental mode by finite element method. We show the importance of the substrate's wave velocity and conductivity on the electromechanical coupling efficiency. Then we demonstrate that etching traditional SA ...
Graph neural networks have emerged as a popular and powerful tool for learning hierarchical representation of graph data. In complement to graph convolution operators, graph pooling is crucial for extracting hierarchical representation of data in graph neu ...
In this reply, we address the concerns that were raised about our paper on CsPbBr3 single crystals. M. Szafranski criticized the dielectric and DSC data in our original paper claiming that they were affected by the experimental artefacts or poor quality of ...
In order to get a better understanding of the interaction of plasma microinstabilities and associated turbulence with specific modes, an antenna is implemented in the global gyrokinetic Particle-In-Cell (PIC) code ORB5.
It consists in applying an external ...
Deep neural networks often have millions of parameters. This can hinder their deployment to low-end devices, not only due to high memory requirements but also because of increased latency at inference. We propose a novel model compression method that gener ...
Musical grammar describes a set of principles that are used to understand and interpret the structure of a piece according to a musical style.
The main topic of this study is grammar induction for harmony --- the process of learning structural principles f ...
Aerosol and trace gas measurements are strongly affected by the ship exhaust and other human activities (e.g., helicopter flights). Therefore, it is important to discriminate between clean and polluted periods. This mask provides an indication of clean per ...
