Today’s CMC materials, robust and resistant to high temperatures, provide their own set of challenges when determining their ...

Finding new materials with useful properties is a primary goal for materials scientists, and it's central to improving ...

A research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen ...

This study identifies key genes regulating neural crest functions in melanoma, revealing insights into collective migration ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

To answer the ever-increasing demand for computational power, coarse-grain reconfigurable architectures (CGRAs) experience a revival. As they provide efficient, dedicated datapaths to match the ...

In this paper, we propose a novel representation that can reconstruct accurate meshes from sparse image input, named Dynamic 2D Gaussians (D-2DGS). We adopt 2D Gaussians for basic geometry ...

Due to the utilization of large antenna arrays at base stations (BSs) and the operations of wireless communications in high frequency bands, mobile terminals often find themselves in the near-field of ...

Machine learning transforms the landscape of 2D materials design, particularly in accelerating discovery, optimization, and screening processes. This review has delved into the historical and ongoing ...