首页> 外文学位 >Quantum virial coefficients via path integral Monte Carlo: Theory and development of novel algorithms.
【24h】

Quantum virial coefficients via path integral Monte Carlo: Theory and development of novel algorithms.

机译:通过路径积分的量子病毒系数蒙特卡洛:新型算法的理论与发展。

获取原文
获取原文并翻译 | 示例

摘要

Virial coefficients are unique thermodynamic properties of a system owing to their link be- tween interactions at the molecular level to macroscopic quantities such as the pressure. In this work, we take advantage of this feature and compute virial coefficients of a variety of systems by performing simulation studies. The nature and quality of the interaction potential used in such studies highly affects the quality of the resulting virial coefficients. Therefore, we have employed ab initio based interaction potentials that are state-of-the-art and have been developed using high quality quantum chemistry calculations. Naturally, the complexity of such simulations is a strong motivator for the development of algorithms that are highly efficient and yield precise results. In this regard, we have developed two efficient and novel algorithms for use in Path Integral Monte Carlo (PIMC), a method used to incorporate nuclear quantum effects in virial coefficient calculations for diatomic molecules. We have successfully applied these algorithms to compute virial coefficients including quantum effects or, in short, quantum virial coefficients, for H2, N2 and O2 sys- tems. In addition to applying these algorithms to study diatomic molecules, we have also investigated other algorithms like PIMC using semi-classical beads and compared them to conventional PIMC, for He as well as N2 systems. Finally, we have also evaluated virial coefficients including quantum corrections, or, in short, semi-classical virial coefficients for a latest ab initio potential of water.
机译:病毒系数是系统的独特热力学性质,这是由于它们在分子水平上的相互作用与宏观量(例如压力)之间存在联系。在这项工作中,我们利用此功能并通过执行仿真研究来计算各种系统的病毒系数。在此类研究中使用的相互作用潜力的性质和质量在很大程度上影响所得病毒系数的质量。因此,我们采用了从头开始的相互作用势,该势能是最先进的,并且是使用高质量的量子化学计算方法开发的。自然,此类仿真的复杂性是开发高效且产生精确结果的算法的强大动力。在这方面,我们开发了两种有效且新颖的算法,用于路径积分蒙特卡洛(PIMC),该方法用于将核量子效应纳入双原子分子的病毒系数计算中。我们已经成功地将这些算法应用于计算H2,N2和O2系统的病毒系数,包括量子效应,或者简而言之,是量子病毒系数。除了将这些算法应用于研究双原子分子之外,我们还研究了其他算法,例如使用半经典磁珠的PIMC,并将其与常规PIMC(对于He和N2系统)进行了比较。最后,我们还评估了病毒系数,包括量子校正,或者简而言之,是针对水的最新从头算势的半经典病毒系数。

著录项

  • 作者

    Subramanian, Ramachandran.;

  • 作者单位

    State University of New York at Buffalo.;

  • 授予单位 State University of New York at Buffalo.;
  • 学科 Chemical engineering.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 268 p.
  • 总页数 268
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号