• 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

铁(II)和铁(III)自旋交叉:迈向最优密度泛函

Iron(II) and Iron(III) Spin Crossover: Toward an Optimal Density Functional.

作者信息

Siig Oliver S, Kepp Kasper P

机构信息

DTU Chemistry , Technical University of Denmark , Building 206 , 2800 Kgs. Lyngby , Denmark.

出版信息

J Phys Chem A. 2018 Apr 26;122(16):4208-4217. doi: 10.1021/acs.jpca.8b02027. Epub 2018 Apr 13.

DOI:10.1021/acs.jpca.8b02027
PMID:29630380
Abstract

Spin crossover (SCO) plays a major role in biochemistry, catalysis, materials, and emerging technologies such as molecular electronics and sensors, and thus accurate prediction and design of SCO systems is of high priority. However, the main tool for this purpose, density functional theory (DFT), is very sensitive to applied methodology. The most abundant SCO systems are Fe(II) and Fe(III) systems. Even with average good agreement, a functional may be significantly more accurate for Fe(II) or Fe(III) systems, preventing balanced study of SCO candidates of both types. The present work investigates DFT's performance for well-known Fe(II) and Fe(III) SCO complexes, using various design types and customized versions of GGA, hybrid, meta-GGA, meta-hybrid, double-hybrid, and long-range-corrected hybrid functionals. We explore the limits of DFT performance and identify proficient Fe(II)-Fe(III)-balanced functionals. We identify and quantify remarkable differences in the DFT description of Fe(II) and Fe(III) systems. Most functionals become more accurate once Hartree-Fock exchange is adjusted to 10-17%, regardless of the type of functionals involved. However, this typically introduces a clear Fe(II)-Fe(III) bias. The most accurate functionals measured by mean absolute errors <10 kJ/mol are CAMB3LYP-17, B3LYP*, and B97-15 with 15-17% Hartree-Fock exchange, closely followed by CAMB3LYP and CAMB3LYP-15, OPBE, rPBE-10, and B3P86-15. While GGA functionals display a small Fe(II)-Fe(III) bias, they are generally inaccurate, except the O exchange functional. Hybrid functionals (including B2PLYP double hybrids and meta hybrids) tend to favor HS too much in Fe(II) vs Fe(III), which is important in many studies where the oxidation state of iron can vary, e.g. rational SCO design and studies of catalytic processes involving iron. The only functional with a combined bias <5 kJ/mol and a decent MAE (15 kJ/mol) is our customized PBE0-12 functional. Alternatively one has to sacrifice Fe(II)-Fe(III) balance to use the best functionals for each group separately. We also investigated the precision (measured as the standard deviation of errors) and show that the target accuracy for iron SCO is 10 kJ/mol for accuracy and 5 kJ/mol for precision, and DFT is probably not going to break this limit in the near future. Importantly, all four types of functional behavior (accurate/precise, accurate/imprecise, inaccurate/precise, inaccurate/imprecise) are observed. More generally, our work illustrates the importance not only of overall accuracy but also of balanced accuracy for systems likely to occur in context.

摘要

自旋交叉(SCO)在生物化学、催化、材料以及诸如分子电子学和传感器等新兴技术中发挥着重要作用,因此对SCO系统进行准确预测和设计具有高度优先性。然而,用于此目的的主要工具——密度泛函理论(DFT),对所应用的方法非常敏感。最丰富的SCO系统是Fe(II)和Fe(III)系统。即使总体上有较好的一致性,一种泛函对于Fe(II)或Fe(III)系统可能会显著更准确,这阻碍了对这两种类型的SCO候选物进行平衡研究。本工作使用各种设计类型以及GGA、杂化、元GGA、元杂化、双杂化和长程校正杂化泛函的定制版本,研究了DFT对著名的Fe(II)和Fe(III)SCO配合物的性能。我们探索了DFT性能的极限,并确定了熟练的Fe(II)-Fe(III)平衡泛函。我们识别并量化了DFT对Fe(II)和Fe(III)系统描述中的显著差异。一旦将Hartree-Fock交换调整到10 - 17%,大多数泛函都会变得更准确,而与所涉及的泛函类型无关。然而,这通常会引入明显的Fe(II)-Fe(III)偏差。通过平均绝对误差<10 kJ/mol衡量的最准确泛函是具有15 - 17% Hartree-Fock交换的CAMB3LYP - 17、B3LYP*和B97 - 15,紧随其后的是CAMB3LYP和CAMB3LYP - 15、OPBE、rPBE - 10以及B3P86 - 15。虽然GGA泛函显示出较小的Fe(II)-Fe(III)偏差,但它们通常不准确,除了O交换泛函。杂化泛函(包括B2PLYP双杂化和元杂化)在Fe(II)与Fe(III)中往往过于倾向高自旋态(HS),这在许多铁的氧化态可能变化的研究中很重要,例如合理的SCO设计以及涉及铁的催化过程研究。唯一一种综合偏差<5 kJ/mol且平均绝对误差良好(15 kJ/mol)的泛函是我们定制的PBE0 - 12泛函。或者,为了分别对每组使用最佳泛函,不得不牺牲Fe(II)-Fe(III)平衡。我们还研究了精度(以误差的标准偏差衡量),并表明铁SCO的目标精度为10 kJ/mol,精度为5 kJ/mol,并且DFT在不久的将来可能无法突破这个极限。重要的是,观察到了所有四种泛函行为类型(准确/精确、准确/不精确、不准确/精确、不准确/不精确)。更一般地说,我们的工作不仅说明了整体准确性的重要性,还说明了对于可能在实际中出现的系统而言平衡准确性的重要性。

相似文献

1
Iron(II) and Iron(III) Spin Crossover: Toward an Optimal Density Functional.铁(II)和铁(III)自旋交叉:迈向最优密度泛函
J Phys Chem A. 2018 Apr 26;122(16):4208-4217. doi: 10.1021/acs.jpca.8b02027. Epub 2018 Apr 13.
2
Performance of Density Functional Theory for Transition Metal Oxygen Bonds.密度泛函理论对过渡金属氧键的性能研究。
Chemphyschem. 2019 Dec 3;20(23):3210-3220. doi: 10.1002/cphc.201900862. Epub 2019 Oct 24.
3
Theoretical Study of Spin Crossover in 30 Iron Complexes.30种铁配合物中自旋交叉的理论研究
Inorg Chem. 2016 Mar 21;55(6):2717-27. doi: 10.1021/acs.inorgchem.5b02371. Epub 2016 Feb 25.
4
Thermal spin crossover in Fe(ii) and Fe(iii). Accurate spin state energetics at the solid state.铁(II)和铁(III)中的热自旋交叉。固态下精确的自旋态能量学。
Phys Chem Chem Phys. 2020 Mar 4;22(9):4938-4945. doi: 10.1039/d0cp00162g.
5
Comparison of density functionals for energy and structural differences between the high- [5T2g:(t2g)4(eg)2] and low- [1A1g:(t2g)6(eg)0] spin states of iron(II) coordination compounds. II. More functionals and the hexaminoferrous cation, [Fe(NH3)6]2+.铁(II)配位化合物的高自旋态[5T2g:(t2g)4(eg)2]和低自旋态[1A1g:(t2g)6(eg)0]之间能量和结构差异的密度泛函比较。II. 更多泛函与六氨合亚铁阳离子[Fe(NH3)6]2+
J Chem Phys. 2005 Jan 22;122(4):44110. doi: 10.1063/1.1839854.
6
Assessment of the performance of density-functional methods for calculations on iron porphyrins and related compounds.用于铁卟啉及相关化合物计算的密度泛函方法性能评估。
J Comput Chem. 2006 Oct;27(13):1577-92. doi: 10.1002/jcc.20458.
7
Assessment of electronic structure methods for the determination of the ground spin states of Fe(ii), Fe(iii) and Fe(iv) complexes.用于确定Fe(ii)、Fe(iii)和Fe(iv)配合物基态自旋态的电子结构方法评估。
Phys Chem Chem Phys. 2017 May 24;19(20):13049-13069. doi: 10.1039/c7cp01263b.
8
Investigating the influence of oriented external electric fields on modulating spin-transition temperatures in Fe(II) SCO complexes: a theoretical perspective.从理论角度研究定向外部电场对铁(II)自旋交叉配合物中自旋转变温度的调制影响。
Dalton Trans. 2024 Sep 10;53(35):14623-14633. doi: 10.1039/d4dt00808a.
9
Assessing the performance of approximate density functional theory on 95 experimentally characterized Fe(II) spin crossover complexes.评估近似密度泛函理论在 95 个实验表征的 Fe(II)自旋交叉配合物上的性能。
J Chem Phys. 2023 Jul 14;159(2). doi: 10.1063/5.0157187.
10
Benchmarking Density Functionals for Chemical Bonds of Gold.用于金化学键的基准密度泛函
J Phys Chem A. 2017 Mar 9;121(9):2022-2034. doi: 10.1021/acs.jpca.6b12086. Epub 2017 Feb 24.

引用本文的文献

1
Thermal- and light-induced valence tautomerism with a concerted spin transition in an iron tris(diimine) complex.铁三(二亚胺)配合物中热致和光致价态互变异构与协同自旋转变
Chem Sci. 2025 Feb 24;16(14):5857-5871. doi: 10.1039/d4sc07798a. eCollection 2025 Apr 2.
2
Benchmarking Periodic Density Functional Theory Calculations for Spin-State Energies in Spin-Crossover Systems.自旋交叉系统中自旋态能量的基准周期性密度泛函理论计算
Inorg Chem. 2024 Jul 22;63(29):13338-13345. doi: 10.1021/acs.inorgchem.4c01094. Epub 2024 Jul 8.
3
Benchmarking Density Functional Theory Methods for Metalloenzyme Reactions: The Introduction of the MME55 Set.
金属酶反应的密度泛函理论方法基准测试:MME55集的引入。
J Chem Theory Comput. 2023 Nov 28;19(22):8365-8383. doi: 10.1021/acs.jctc.3c00558. Epub 2023 Nov 9.
4
Di-Iron(II) [2+2] Helicates of Bis-(Dipyrazolylpyridine) Ligands: The Influence of the Ligand Linker Group on Spin State Properties.双-(二吡唑基吡啶)配体的二铁(II)[2+2]螺旋体:配体连接基团对自旋态性质的影响。
Chemistry. 2023 Feb 10;29(9):e202202578. doi: 10.1002/chem.202202578. Epub 2022 Dec 27.
5
Machine learning to tame divergent density functional approximations: a new path to consensus materials design principles.机器学习驯服发散的密度泛函近似:达成一致的材料设计原则的新途径。
Chem Sci. 2021 Sep 2;12(39):13021-13036. doi: 10.1039/d1sc03701c. eCollection 2021 Oct 13.
6
Enhanced Ammonia Oxidation Catalysis by a Low-Spin Iron Complex Featuring Coordination Sites.配位位点调控的低自旋铁配合物增强氨氧化催化
J Am Chem Soc. 2021 May 26;143(20):7612-7616. doi: 10.1021/jacs.1c02232. Epub 2021 May 17.
7
Zeolites at the Molecular Level: What Can Be Learned from Molecular Modeling.沸石的分子水平:从分子模拟中学到了什么。
Molecules. 2021 Mar 10;26(6):1511. doi: 10.3390/molecules26061511.
8
A Review of Density Functional Models for the Description of Fe(II) Spin-Crossover Complexes.密度泛函模型在描述 Fe(II)自旋交叉配合物中的应用综述。
Molecules. 2020 Nov 6;25(21):5176. doi: 10.3390/molecules25215176.
9
A DFT Study on Fe/Fe/Fe Mechanism of the Cross-Coupling between Haloalkane and Aryl Grignard Reagent Catalyzed by Iron-SciOPP Complexes.DFT 研究铁-铁-铁体系在铁-SciOPP 配合物催化卤代烷与芳基格氏试剂交叉偶联反应中的作用机制。
Molecules. 2020 Aug 8;25(16):3612. doi: 10.3390/molecules25163612.
10
Improving the Light-Induced Spin Transition Efficiency in Ni(II)-Based Macrocyclic-Ligand Complexes.提高基于 Ni(II)的大环配体配合物的光致自旋转变效率。
Molecules. 2019 Nov 22;24(23):4249. doi: 10.3390/molecules24234249.