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本文引用的文献

1
Dissecting the Hydrogen Bond: A Quantum Monte Carlo Approach.解析氢键:量子蒙特卡罗方法。
J Chem Theory Comput. 2008 Sep 9;4(9):1428-34. doi: 10.1021/ct800121e.
2
Electronic Excitations of Simple Cyanine Dyes: Reconciling Density Functional and Wave Function Methods.简单菁染料的电子激发态:密度泛函和波函数方法的协调。
J Chem Theory Comput. 2011 Feb 8;7(2):444-55. doi: 10.1021/ct1006295. Epub 2011 Jan 10.
3
Fate of the resonating valence bond in graphene.石墨烯中共振价键的命运。
Phys Rev Lett. 2011 Aug 19;107(8):086807. doi: 10.1103/PhysRevLett.107.086807.
4
Algorithmic differentiation and the calculation of forces by quantum Monte Carlo.算法微分与量子蒙特卡罗力的计算。
J Chem Phys. 2010 Dec 21;133(23):234111. doi: 10.1063/1.3516208.
5
Multireference general-model-space state-universal and state-specific coupled-cluster approaches to excited states.多参考通用模型空间态-态耦合簇方法研究激发态。
J Chem Phys. 2010 Nov 14;133(18):184106. doi: 10.1063/1.3494538.
6
Resonating valence bond wave function with molecular orbitals: application to first-row molecules.共振价键波函数与分子轨道:在第一行分子中的应用。
J Chem Phys. 2009 Oct 21;131(15):154116. doi: 10.1063/1.3249966.
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Evidence for a first-order liquid-liquid transition in high-pressure hydrogen from ab initio simulations.从第一性原理模拟看高压氢中的一级液-液相变。
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Generalized valence bond wave functions in quantum Monte Carlo.量子蒙特卡罗中的广义价键波函数。
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Multireference Mukherjee's coupled cluster method with triexcitations in the linked formulation: Efficient implementation and applications.多参考 Mukherjee 的耦合簇方法与链接形式中的三激发项:高效实现与应用。
J Chem Phys. 2010 Apr 21;132(15):154105. doi: 10.1063/1.3376053.

通过量子蒙特卡罗方法进行结构优化:研究乙烯的低激发态

Structural Optimization by Quantum Monte Carlo: Investigating the Low-Lying Excited States of Ethylene.

作者信息

Barborini Matteo, Sorella Sandro, Guidoni Leonardo

机构信息

Dipartimento di Chimica, Ingegneria Chimica e Materiali, Università degli studi dell'Aquila, Località Campo di Pile, 67100 L'Aquila, Italy.

Scuola Internazionale Superiore di Studi Avanzati (SISSA) and Democritos National Simulation Center, Istituto Officina dei Materiali del CNR, via Bonomea 265, 34136 Trieste, Italy.

出版信息

J Chem Theory Comput. 2012 Apr 10;8(4):1260-1269. doi: 10.1021/ct200724q.

DOI:10.1021/ct200724q
PMID:24634617
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3952241/
Abstract

We present full structural optimizations of the ground state and of the low lying triplet state of the ethylene molecule by means of Quantum Monte Carlo methods. Using the efficient structural optimization method based on renormalization techniques and on adjoint differentiation algorithms recently proposed [Sorella, S.; Capriotti, L. , , 234111], we present the variational convergence of both wave function parameters and atomic positions. All of the calculations were done using an accurate and compact wave function based on Pauling's resonating valence bond representation: the Jastrow Antisymmetrized Geminal Power (JAGP). All structural and wave function parameters are optimized, including coefficients and exponents of the Gaussian primitives of the AGP and the Jastrow atomic orbitals. Bond lengths and bond angles are calculated with a statistical error of about 0.1% and are in good agreement with the available experimental data. The Variational and Diffusion Monte Carlo calculations estimate vertical and adiabatic excitation energies in the ranges 4.623(10)-4.688(5) eV and 3.001(5)-3.091(5) eV, respectively. The adiabatic gap, which is in line with other correlated quantum chemistry methods, is slightly higher than the value estimated by recent photodissociation experiments. Our results demonstrate how Quantum Monte Carlo calculations have become a promising and computationally affordable tool for the structural optimization of correlated molecular systems.

摘要

我们借助量子蒙特卡罗方法对乙烯分子的基态和低激发三重态进行了完整的结构优化。利用基于重整化技术和最近提出的伴随微分算法的高效结构优化方法[Sorella, S.; Capriotti, L.,, 234111],我们展示了波函数参数和原子位置的变分收敛性。所有计算均使用基于鲍林共振价键表示的精确且紧凑的波函数:Jastrow反对称双电子幂(JAGP)。所有结构和波函数参数均经过优化,包括AGP的高斯基元和Jastrow原子轨道的系数和指数。键长和键角的计算统计误差约为0.1%,与现有实验数据吻合良好。变分蒙特卡罗和扩散蒙特卡罗计算分别估计垂直激发能和绝热激发能在4.623(10) - 4.688(5) eV和3.001(5) - 3.091(5) eV范围内。绝热能隙与其他相关量子化学方法一致,略高于最近光解离实验估计的值。我们的结果表明,量子蒙特卡罗计算已成为相关分子系统结构优化的一种有前景且计算成本可承受的工具。