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New developments and applications in quantum chemistry: Fragment-based models for large molecular systems and structure-reactivity relationship of small transition metal chalcogenide clusters

机译:量子化学的新进展和应用:基于片段的大型分子系统模型和小型过渡金属硫族化物簇的结构反应性关系

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摘要

The last three decades have seen dramatic progress in the development and application of ab initio quantum chemical methods. However, as the molecule gets larger, it becomes computationally prohibitive to treat the entire molecule with accurate and reliable theoretical models. We present our research towards solving this problem by extending the power and applicability of highly accurate ab initio methods for the treatment of large molecular systems. We have made an effort to propose new techniques involving "Fragment-based Quantum Chemical Methods" that partition a large "otherwise impossible-to-tackle problem" into a collection of small "computationally tractable problems". This presentation will include a discussion of two recent models that we have proposed. The first is a simple, but efficient, method named "Dimers-Of-Dimers (DOD)" for the treatment of large water clusters leveraging the connectivity information of the network of hydrogen bonds responsible for holding water molecules together. The second is a robust and highly intuitive method named "Grid-Adapted-Manybody-Approach (GAMA)" with the goal to make fragment-based methods more black-box type, providing a reasonable balance between cost and accuracy for large calculations. Illustrative applications of these methods on complex systems such as polypeptides and water clusters will be presented with the goal of predicting their absolute and relative energies with accurate electronic structure methods. Finally, we also discuss potential applications of these models in Fragment Based Drug Design (FBDD) in the pharmaceutical industry.
机译:在过去的三十年中,从头开始量子化学方法的开发和应用取得了巨大进步。但是,随着分子变大,使用精确而可靠的理论模型来处理整个分子在计算上变得令人望而却步。我们通过扩展用于大分子系统治疗的高精度从头算方法的功能和适用性,来解决这一问题。我们已努力提出涉及“基于片段的量子化学方法”的新技术,该技术将一个大的“否则无法解决的问题”划分为一个小的“计算上容易解决的问题”的集合。本演讲将讨论我们提出的两个最新模型。第一种方法是一种简单但有效的方法,称为“二聚体(DOD)”,可利用负责将水分子保持在一起的氢键网络的连通性信息来处理大型水团。第二种方法是一种健壮且高度直观的方法,称为“网格自适应人身体法(GAMA)”,其目标是使基于片段的方法更像黑盒子,为大型计算提供成本和准确性之间的合理平衡。将介绍这些方法在复杂系统(例如多肽和水簇)上的说明性应用,目的是通过准确的电子结构方法预测其绝对和相对能量。最后,我们还将讨论这些模型在制药行业基于片段的药物设计(FBDD)中的潜在应用。

著录项

  • 作者

    Saha, Arjun.;

  • 作者单位

    Indiana University.;

  • 授予单位 Indiana University.;
  • 学科 Chemistry.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 261 p.
  • 总页数 261
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:46:45

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