Not Just Another Crystal Field Software

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2025-03-03 DOI:10.1002/jcc.70063
Letizia Fiorucci, Enrico Ravera
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Abstract

This manuscript presents NJA-CFS, a Python-based comprehensive toolkit for crystal field/ligand field calculations. NJA-CFS is designed to perform simulations of electronic structure properties, including the magnetic ones, for transition metals and lanthanoid complexes, giving access to several CF/LF parametrization schemes, from point-charge model and AOM to AILFT parameters, putting great effort in the implementation of routines for CF parameters manipulation and rotation. NJA-CFS was designed to meet the needs of both first-time users of crystal field theory and those who require a high degree of flexibility in the choice of crystal field parameters formalisms. In this manuscript, we present the theoretical foundations of the program routines and the comparison of NJA-CFS calculation results either to experimental data or ab initio computations, proving the advantages that access to multiple CFPs formalism can bring in. We also present intuitive applications of the NJA-CFS routines to didactically valuable examples, like the projection of CF/LF splitting on real d- and f- orbitals and the calculations of Tanabe–Sugano diagrams for arbitrary symmetries and with the inclusion of spin-orbit coupling.

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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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