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首页> 外文期刊>Polyhedron: The International Journal for Inorganic and Organometallic Chemistry >Accuracy of density functional theory methods for the calculation of magnetic exchange couplings in binuclear iron(III) complexes
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Accuracy of density functional theory methods for the calculation of magnetic exchange couplings in binuclear iron(III) complexes

机译:密度函数理论方法的准确性,用于计算双核铁(III)复合物中磁交换耦合

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We assess the performance of popular hybrid density functional approximations for the prediction of magnetic exchange couplings (J) in Fe-III complexes. To this end, eleven dinuclear oxo-bridged iron(III) complexes with accurately determinedJ values were chosen to cover cases of weak and strong antiferromagnetic couplings ranging from -6 cm(-1) to -132 cm(-1). Seven representative exchange-correlation functionals ranging from the hybrids PBEh and B3LYP to meta hybrids (M06, M062X), range separated functionals (HSE, LC-omega PBE), and LSDA with 30% of HF exchange were used for this assessment. These functionals have been suggested as good performers for this particular property in transition metal complexes and hence this assessment aims to narrow the interval of confidence for the particular case of Fe complexes. In addition, we examined the performance of an alternative method based on differential local spin rotations to calculate magnetic exchange coupling parameters in these complexes. Our results show that, although some of these functionals perform on par, the M06 and HSE functionals yield magnetic exchange couplings in closer agreement with experimental data, with mean absolute percentage errors of 8.6 and 9.2%, respectively. (C) 2019 Elsevier Ltd. All rights reserved.
机译:我们评估流行的混合密度函数近似的性能,用于预测Fe-III复合物中的磁交换偶联(J)。为此,选择11个具有精确确定的J的二核氧​​气桥接铁(III)络合物,以覆盖从-6cm(-1)至-132cm(-1)的弱和强的反铁磁性偶联的病例。七种代表性交换相关函数范围从杂种PBEH和B3LYP到META杂种(M06,M062x),范围分离的功能(HSE,LC-OMEGA PBE)和LSDA,其中30%的HF交换的LSDA用于该评估。这些功能已被建议为过渡金属复合物中这种特殊性质的好性表演者,因此该评估旨在缩小Fe复合物特定情况的信心间隔。此外,我们检查了基于差分局部自旋旋转的替代方法的性能,以计算这些复合物中的磁交换耦合参数。我们的结果表明,尽管这些功能中的一些函数在PAR上执行,但M06和HSE功能会使磁交换耦合与实验数据更接近,平均绝对百分比误差分别为8.6和9.2%。 (c)2019 Elsevier Ltd.保留所有权利。

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