本文利用现代图形加速卡中GPU(Graphics Process Unit)的可编程管线,实现了图形电磁计算(GRECO)方法.与原有的方法相比,在利用物理光学和物理绕射理论的基础上,计算速度提高了20倍左右.并且利用GPU实现了射线追踪算法,用于目标上多次散...本文利用现代图形加速卡中GPU(Graphics Process Unit)的可编程管线,实现了图形电磁计算(GRECO)方法.与原有的方法相比,在利用物理光学和物理绕射理论的基础上,计算速度提高了20倍左右.并且利用GPU实现了射线追踪算法,用于目标上多次散射的计算,使得GRECO方法可以快速计算具有凹腔结构目标的电磁散射.本方法对于目标识别和逆合成孔径成像等方面的研究具有重要的应用价值.展开更多
Monodisperse core/shell latex particles composed of a polystyrene(PS) core and a thin conductive polypyrrole (PPy) shell were synthesized by means of two-stage emulsion polymerization. Proofs for the success of core/s...Monodisperse core/shell latex particles composed of a polystyrene(PS) core and a thin conductive polypyrrole (PPy) shell were synthesized by means of two-stage emulsion polymerization. Proofs for the success of core/shell synthesis were obtained by using transmission electron microscopy (TEM) and X-ray photoelectron spectroscopy(XPS). Pressed pellet conductivity measurements on the dried composites indicated a low percolation threshold of 13.8%. The conductivity for the composites was higher than that of a heterogeneous admixture of dried PS latex and PPy bulk powder. The highest conductivity of the core/shell composite was 0.14 S/cm.展开更多
文摘本文利用现代图形加速卡中GPU(Graphics Process Unit)的可编程管线,实现了图形电磁计算(GRECO)方法.与原有的方法相比,在利用物理光学和物理绕射理论的基础上,计算速度提高了20倍左右.并且利用GPU实现了射线追踪算法,用于目标上多次散射的计算,使得GRECO方法可以快速计算具有凹腔结构目标的电磁散射.本方法对于目标识别和逆合成孔径成像等方面的研究具有重要的应用价值.
文摘Monodisperse core/shell latex particles composed of a polystyrene(PS) core and a thin conductive polypyrrole (PPy) shell were synthesized by means of two-stage emulsion polymerization. Proofs for the success of core/shell synthesis were obtained by using transmission electron microscopy (TEM) and X-ray photoelectron spectroscopy(XPS). Pressed pellet conductivity measurements on the dried composites indicated a low percolation threshold of 13.8%. The conductivity for the composites was higher than that of a heterogeneous admixture of dried PS latex and PPy bulk powder. The highest conductivity of the core/shell composite was 0.14 S/cm.
