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Scattering And Absorption of Light in Planetary Regoliths
Published on: July 1, 2019
从最小集群模型中计算晶体散体属性的ER-BOC计算
1Corporate Strategic Research, ExxonMobil Research and Engineering Company, 1545 Route 22 East, Annandale, New Jersey 08801-0998, USA. yhu@buffalo.edu
Journal of the American Chemical Society
|April 3, 2003
概括
准确预测晶体特性是一项挑战. 本研究引入了一种使用密度函数理论 (DFT) 和整个范围债券顺序保存 (ER-BOC) 的新方法,以简化对小集群的计算,将它们与批量晶体属性相关联.
科学领域:
- 固态化学和物理 固态化学和物理
- 量子化学是一种量子化学.
- 材料科学是一种材料科学.
背景情况:
- 准确的初始计算大量晶体属性是计算上昂贵的.
- 现有的方法通常需要大型集群模型来模拟晶体结构.
- 从第一原理预测材料特性仍然是一个重大挑战.
研究的目的:
- 开发一种更有效,更准确的方法来计算批量晶体的特性.
- 建立分子/集群特性和散体晶体特性之间的相关性.
- 使用较小的计算模型,能够准确地预测晶体散体键长度.
主要方法:
- 使用密度函数理论 (DFT) 进行量子化学计算.
- 应用整个区间债券订单保存 (ER-BOC) 的原则.
- 从二原子分子到小集群,最后到晶体.
主要成果:
- 证明了在不同物质状态 (分子,集群,晶体) 中保证了结合的顺序.
- 成功地将大质量晶体特性与较小的分子/集群模型的特性相关联.
- 在小集群上使用ER-BOC和混合DFT计算实现了批量债券长度的准确预测.
结论:
- ER-BOC原则提供了一种有效的方法来简化和提高晶体属性计算的准确性.
- 混合DFT计算与ER-BOC相结合,可以从小集群模型中预测批量晶体键长度.
- 这种方法显著降低了与预测固态特性相关的计算成本.
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