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特定反应参数多重网格势拟合(SRP-MGPF):用于量子动力学计算的积和形式势能面的自动生成

Specific Reaction Parameter Multigrid POTFIT (SRP-MGPF): Automatic Generation of Sum-of-Products Form Potential Energy Surfaces for Quantum Dynamical Calculations.

作者信息

Panadés-Barrueta Ramón L, Martínez-Núñez Emilio, Peláez Daniel

机构信息

Laboratoire de Physique des Lasers, Atomes et Molécules (PhLAM), Université de Lille, Villeneuve-d'Ascq, France.

Departamento de Química Física, Facultade de Química, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.

出版信息

Front Chem. 2019 Aug 14;7:576. doi: 10.3389/fchem.2019.00576. eCollection 2019.

DOI:10.3389/fchem.2019.00576
PMID:31475138
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6702682/
Abstract

We present Specific Reaction Parameter Multigrid POTFIT (SRP-MGPF), an automated methodology for the generation of global potential energy surfaces (PES), molecular properties surfaces, e.g., dipole, polarizabilities, etc. using a single random geometry as input. The SRP-MGPF workflow integrates: (i) a fully automated procedure for the global topographical characterization of a (intermolecular) PES based on the Transition State Search Using Chemical Dynamical Simulations (TSSCDS) family of methods;i (ii) the global optimization of the parameters of a semiempirical Hamiltonian in order to reproduce a given level of electronic structure theory; and (iii) a tensor decomposition algorithm which turns the resulting SRP-PES into sum of products (Tucker) form with the Multigrid POTFIT algorithm. The latter is necessary for quantum dynamical studies within the Multiconfiguration Time-Dependent Hartree (MCTDH) quantum dynamics method. To demonstrate our approach, we have applied our methodology to the isomerization reaction in HONO in full dimensionality (6D). The resulting SRP-PES has been validated through the computation of classical on-the-fly dynamical calculations as well as calculations of the lowest vibrational eigenstates of HONO as well as high-energy wavepacket propagations.

摘要

我们提出了特定反应参数多重网格势拟合方法(SRP-MGPF),这是一种自动化方法,用于使用单个随机几何结构作为输入来生成全局势能面(PES)、分子性质表面,例如偶极矩、极化率等。SRP-MGPF工作流程整合了:(i)基于化学动力学模拟的过渡态搜索(TSSCDS)系列方法,用于(分子间)PES全局地形特征的全自动程序;(ii)为重现给定水平的电子结构理论而对半经验哈密顿量参数进行的全局优化;以及(iii)一种张量分解算法,它使用多重网格势拟合算法将所得的SRP-PES转化为乘积之和(塔克)形式。后者对于多组态含时哈特里(MCTDH)量子动力学方法中的量子动力学研究是必要的。为了展示我们的方法,我们已将我们的方法应用于全维度(6D)下HONO中的异构化反应。所得的SRP-PES已通过经典实时动力学计算以及HONO最低振动本征态和高能波包传播的计算得到验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fdf/6702682/ed944c13ceb2/fchem-07-00576-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fdf/6702682/ef598d4bf24e/fchem-07-00576-g0001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fdf/6702682/488d3c155402/fchem-07-00576-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fdf/6702682/adc75f09e510/fchem-07-00576-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fdf/6702682/ad7e91475e1c/fchem-07-00576-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fdf/6702682/31165dc6d195/fchem-07-00576-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fdf/6702682/9bb38a53b379/fchem-07-00576-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fdf/6702682/ed944c13ceb2/fchem-07-00576-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fdf/6702682/ef598d4bf24e/fchem-07-00576-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fdf/6702682/d86d38db5443/fchem-07-00576-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fdf/6702682/2fbd23fa24e5/fchem-07-00576-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fdf/6702682/488d3c155402/fchem-07-00576-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fdf/6702682/adc75f09e510/fchem-07-00576-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fdf/6702682/ad7e91475e1c/fchem-07-00576-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fdf/6702682/31165dc6d195/fchem-07-00576-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fdf/6702682/9bb38a53b379/fchem-07-00576-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fdf/6702682/ed944c13ceb2/fchem-07-00576-g0009.jpg

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