摘要(中) |
我們應用平行電腦(PC-Cluster with MPI)以及各式最佳化演算法來計算分子叢集的結構,當分子叢集的數量在上百顆以上時,其已漸漸逼進奈米尺度,這些研究資料,為奈米實驗提供了許多初步的理論基礎,我們亦在此課題中驗證平行化計算的實用行,我們所發展出來的演算法均可以利用多顆CPU來分擔運算,使得計算效能突飛猛進,目前我們的計算已經可以進展至100顆以上,並且亦驗證其他領域的實用性,如蛋白質折疊與基礎態結構等,在本篇論文中,我們首先呈現兩個經典的最佳化演算法,隨後並介紹我們新發展的演算法,在數值計算方面,我們提供一系列初步的系統化結構分析,大小均在56顆以內,總共6個材料,分別是鹼金屬Na,K,Rb,Cs,以及四價金屬Pb,最後我們再以總數38金銅合金,並套用新發展之演算法作為結束 |
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We exclude the network glassy materials such as the Si or Ge where directional terms in the many-body potential must be explicitly included. This kind of clusters therefore differs from the class of clusters mentioned here. |