FeBn-/0/+簇(n = 1-3)的几何和电子结构:来自先进计算方法的见解

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Hoang Lin Nguyen, Quoc Tri Tran, Kim Tai Dang, Van Tan Tran
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引用次数: 0

摘要

背景:掺杂硼的铁团簇因其在材料科学中的潜力而被广泛研究。尽管使用DFT和MRCI方法进行了多次量子计算,但对FeBn-/0/+簇(n = 1-3)的几何和电子结构仍然缺乏全面的了解。这项工作通过DFT和多参考CASPT2、RASPT2和DMRG-CASPT2计算方法,为这些星团的地面和低空激发态、脱离能和电离能提供了新的见解。关键发现表明3Σ-, 4Σ-和3Σ-是FeB-/0/+的基态,而循环-FeB2-/0/+异构体(4B2, 3B2, 4B1)是FeB2-/0/+簇最稳定的基态。对于FeB3簇,阴离子簇具有四面体结构,而中性和阳离子簇具有菱形结构。阴离子基态的脱离能从FeB-逐渐增加到环状feb2 -,并进一步增加到四面体feb3 -异构体,这与与铁原子成键的硼原子数量有关。在四面体- feb3 -/0中,跃迁的振动级数比在FeB-/0簇和环状- feb2 -/0异构体中更为突出。中性基态的电离能从FeB团簇上升到菱形- feb3和环状- feb2异构体。方法:利用密度泛函理论(DFT)对FeB2-/0/+和FeB3-/0/+簇的电子态进行几何优化和振动频率计算,采用BP86和MN15泛函和def2-QZVP基集,在ORCA 5.0中实现。使用ezSpectra套件,基于dft导出的几何形状和振动法向模态,进行了frank - condon因子模拟。多参考的RASPT2和CASPT2计算使用OpenMolcas,而DMRG-CASPT2计算使用ChemPS2与OpenMolcas接口。奥格-cc- pwcvqz - dk基组用于铁,奥格-cc- pvqz - dk基组用于硼。铁的1s、2s、2p轨道和硼的1s轨道在二阶微扰计算中被冻结。IPEA和虚移参数分别设置为0.25和0.10。为了达到较高的精度,DMRG-CASPT2的活性空间扩展到FeB-/0/+和FeB2-/0/+的22个轨道,FeB3-/0/+的23个轨道。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geometric and electronic structures of FeBn−/0/+ clusters (n = 1–3): insights from advanced computational methods

Context

Boron-doped iron clusters are extensively studied for their potential in materials science. Despite several quantum calculations with DFT and MRCI methods, a comprehensive understanding of the geometric and electronic structures of small FeBn−/0/+ clusters (n = 1–3) is still lacking. This work provides new insights into ground and low-lying excited states, detachment energies, and ionization energies of these clusters using DFT and multireference CASPT2, RASPT2, and DMRG-CASPT2 computational methods. Key findings reveal 3Σ, 4Σ, and 3Σ as ground states for FeB−/0/+, and cyclic-FeB2−/0/+ isomers (4B2, 3B2, 4B1) as the most stable for FeB2−/0/+ clusters. For FeB3 clusters, anionic species have a tetrahedral geometry, while neutral and cationic species favor rhombic structures. Detachment energies of the anionic ground states increase progressively from FeB to cyclic-FeB2, and further to the tetrahedral-FeB3 isomer, which correlates with the number of boron atoms bonded to the iron atom. The vibrational progression in transitions within tetrahedral-FeB3−/0 is more prominent than in FeB−/0 clusters and cyclic-FeB2−/0 isomers. The ionization energies of neutral ground states rise from FeB clusters to rhombic-FeB3 and cyclic-FeB2 isomers.

Methods

The geometry optimization and vibrational frequency calculations for the electronic states of FeB2−/0/+ and FeB3−/0/+ clusters were conducted using density functional theory (DFT) with the BP86 and MN15 functionals and the def2-QZVP basis set, implemented in ORCA 5.0. Franck–Condon factor simulations were performed using the ezSpectra suite, based on DFT-derived geometries and vibrational normal modes. Multireference RASPT2 and CASPT2 calculations utilized OpenMolcas, while DMRG-CASPT2 calculations employed ChemPS2 interfaced to OpenMolcas. The aug-cc-pwCVQZ-DK basis set was applied to iron, and aug-cc-pVQZ-DK to boron. The 1 s, 2 s, and 2p orbitals of iron and the 1 s orbital of boron were frozen in the second-order perturbation calculations. IPEA and imaginary shift parameters were set to 0.25 and 0.10, respectively. To achieve high accuracy, the DMRG-CASPT2 active spaces were expanded to 22 orbitals for FeB−/0/+ and FeB2−/0/+, and 23 orbitals for FeB3−/0/+.

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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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