• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于片段的电子结构实现高效、“即时”、玻恩-奥本海默和 Car-Parrinello 型动力学与耦合簇精度。

Efficient, "On-the-Fly", Born-Oppenheimer and Car-Parrinello-type Dynamics with Coupled Cluster Accuracy through Fragment Based Electronic Structure.

机构信息

Department of Chemistry and Department of Physics, Indiana University , 800 East Kirkwood Avenue, Bloomington, Indiana 47405, United States.

出版信息

J Chem Theory Comput. 2017 May 9;13(5):1887-1901. doi: 10.1021/acs.jctc.6b01107. Epub 2017 Apr 13.

DOI:10.1021/acs.jctc.6b01107
PMID:28362491
Abstract

We recently developed two fragment based ab initio molecular dynamics methods, and in this publication we have demonstrated both approaches by constructing efficient classical trajectories in agreement with trajectories obtained from "on-the-fly" CCSD. The dynamics trajectories are obtained using both Born-Oppenheimer and extended Lagrangian (Car-Parrinello-style) options, and hence, here, for the first time, we present Car-Parrinello-like AIMD trajectories that are accurate to the CCSD level of post-Hartree-Fock theory. The specific extended Lagrangian implementation used here is a generalization to atom-centered density matrix propagation (ADMP) that provides post-Hartree-Fock accuracy, and hence the new method is abbreviated as ADMP-pHF; whereas the Born-Oppenheimer version is called frag-BOMD. The fragmentation methodology is based on a set-theoretic, inclusion-exclusion principle based generalization of the well-known ONIOM method. Thus, the fragmentation scheme contains multiple overlapping "model" systems, and overcounting is compensated through the inclusion-exclusion principle. The energy functional thus obtained is used to construct Born-Oppenheimer forces (frag-BOMD) and is also embedded within an extended Lagrangian (ADMP-pHF). The dynamics is tested by computing structural and vibrational properties for protonated water clusters. The frag-BOMD trajectories yield structural and vibrational properties in excellent agreement with full CCSD-based "on-the-fly" BOMD trajectories, at a small fraction of the cost. The asymptotic (large system) computational scaling of both frag-BOMD and ADMP-pHF is inferred as [Formula: see text], for on-the-fly CCSD accuracy. The extended Lagrangian implementation, ADMP-pHF, also provides structural features in excellent agreement with full "on-the-fly" CCSD calculations, but the dynamical frequencies are slightly red-shifted. Furthermore, we study the behavior of ADMP-pHF as a function of the electronic inertia tensor and find a monotonic improvement in the red-shift as we reduce the electronic inertia. In all cases a uniform spectral scaling factor, that in our preliminary studies appears to be independent of system and independent of level of theory (same scaling factor for both MP2 and CCSD implementations ADMP-pHF and for ADMP DFT), improves on agreement between ADMP-pHF and full CCSD calculations. Hence, we believe both frag-BOMD and ADMP-pHF will find significant utility in modeling complex systems. The computational power of frag-BOMD and ADMP-pHF is demonstrated through preliminary studies on a much larger protonated 21-water cluster, for which AIMD trajectories with "on-the-fly" CCSD are not feasible.

摘要

我们最近开发了两种基于片段的从头算分子动力学方法,在本研究中,我们通过构建与“实时” CCSD 获得的轨迹一致的有效经典轨迹证明了这两种方法。动力学轨迹是使用 Born-Oppenheimer 和扩展拉格朗日(Car-Parrinello 风格)选项获得的,因此,这里首次呈现了与 CCSD 后 Hartree-Fock 理论精度一致的 Car-Parrinello 风格的 AIMD 轨迹。这里使用的特定扩展拉格朗日实现是对原子中心密度矩阵传播(ADMP)的推广,可实现后 Hartree-Fock 精度,因此新方法简称为 ADMP-pHF;而 Born-Oppenheimer 版本称为 frag-BOMD。片段化方法基于众所周知的 ONIOM 方法的基于集合论、包含排除原理的广义化。因此,片段化方案包含多个重叠的“模型”系统,通过包含排除原理补偿重复计数。由此获得的能量泛函用于构建 Born-Oppenheimer 力(frag-BOMD),并嵌入到扩展拉格朗日(ADMP-pHF)中。通过计算质子化水团簇的结构和振动性质来测试动力学。frag-BOMD 轨迹以与基于完整 CCSD 的“实时”BOMD 轨迹非常吻合的方式提供结构和振动性质,而成本仅为一小部分。推断 frag-BOMD 和 ADMP-pHF 的渐近(大系统)计算比例为 [Formula: see text],适用于实时 CCSD 精度。扩展拉格朗日实现 ADMP-pHF 还提供了与完整“实时”CCSD 计算非常吻合的结构特征,但动力学频率略有红移。此外,我们研究了 ADMP-pHF 作为电子惯性张量函数的行为,并发现随着电子惯性的降低,红移得到了单调改善。在所有情况下,均匀的光谱缩放因子(在我们的初步研究中,该因子似乎与系统无关,也与理论水平无关(对于 ADMP-pHF 的 MP2 和 CCSD 实现以及 ADMP DFT 都使用相同的缩放因子)),改善了 ADMP-pHF 与完整 CCSD 计算之间的一致性。因此,我们相信 frag-BOMD 和 ADMP-pHF 都将在模拟复杂系统方面具有重要的应用价值。通过对更大的质子化 21 水团簇进行初步研究,展示了 frag-BOMD 和 ADMP-pHF 的计算能力,对于该团簇,实时 CCSD 的 AIMD 轨迹是不可行的。

相似文献

1
Efficient, "On-the-Fly", Born-Oppenheimer and Car-Parrinello-type Dynamics with Coupled Cluster Accuracy through Fragment Based Electronic Structure.基于片段的电子结构实现高效、“即时”、玻恩-奥本海默和 Car-Parrinello 型动力学与耦合簇精度。
J Chem Theory Comput. 2017 May 9;13(5):1887-1901. doi: 10.1021/acs.jctc.6b01107. Epub 2017 Apr 13.
2
Adaptive, Geometric Networks for Efficient Coarse-Grained Ab Initio Molecular Dynamics with Post-Hartree-Fock Accuracy.自适应、几何网络,用于高效的粗粒度从头分子动力学计算,达到后 Hartree-Fock 精度。
J Chem Theory Comput. 2018 Jun 12;14(6):2852-2866. doi: 10.1021/acs.jctc.8b00186. Epub 2018 May 31.
3
Acceleration of Semiempirical Quantum Mechanical Calculations by Extended Lagrangian Molecular Dynamics Approach.通过扩展拉格朗日分子动力学方法加速半经验量子力学计算
J Chem Theory Comput. 2013 Aug 13;9(8):3393-403. doi: 10.1021/ct400117k. Epub 2013 Jul 9.
4
Ab Initio Molecular Dynamics Using Recursive, Spatially Separated, Overlapping Model Subsystems Mixed within an ONIOM-Based Fragmentation Energy Extrapolation Technique.使用基于ONIOM的片段能量外推技术中混合的递归、空间分离、重叠模型子系统的从头算分子动力学。
J Chem Theory Comput. 2015 Sep 8;11(9):3978-91. doi: 10.1021/acs.jctc.5b00433. Epub 2015 Aug 20.
5
Efficiently Capturing Weak Interactions in ab Initio Molecular Dynamics with on-the-Fly Basis Set Extrapolation.从头算分子动力学中利用在线基组外推高效捕捉弱相互作用。
J Chem Theory Comput. 2018 Nov 13;14(11):5535-5552. doi: 10.1021/acs.jctc.8b00803. Epub 2018 Oct 29.
6
Curvy-steps approach to constraint-free extended-Lagrangian ab initio molecular dynamics, using atom-centered basis functions: convergence toward Born-Oppenheimer trajectories.采用以原子为中心的基函数的无约束扩展拉格朗日从头算分子动力学的曲线步方法:向玻恩-奥本海默轨迹收敛。
J Chem Phys. 2004 Dec 15;121(23):11542-56. doi: 10.1063/1.1814934.
7
Next generation extended Lagrangian first principles molecular dynamics.下一代扩展拉格朗日第一性原理分子动力学。
J Chem Phys. 2017 Aug 7;147(5):054103. doi: 10.1063/1.4985893.
8
Efficient and Accurate Born-Oppenheimer Molecular Dynamics for Large Molecular Systems.高效准确的大分子体系玻恩-奥本海默分子动力学。
J Chem Theory Comput. 2017 Nov 14;13(11):5479-5485. doi: 10.1021/acs.jctc.7b00937. Epub 2017 Oct 25.
9
Graph Theoretic Molecular Fragmentation for Multidimensional Potential Energy Surfaces Yield an Adaptive and General Transfer Machine Learning Protocol.图论分子碎裂方法用于多维势能面,可得到自适应的通用迁移机器学习协议。
J Chem Theory Comput. 2022 Sep 13;18(9):5125-5144. doi: 10.1021/acs.jctc.1c01241. Epub 2022 Aug 22.
10
On the theory underlying the Car-Parrinello method and the role of the fictitious mass parameter.关于Car-Parrinello方法的基础理论及虚拟质量参数的作用。
J Chem Phys. 2006 Jan 28;124(4):044111. doi: 10.1063/1.2162893.