Not Just Another Crystal Field Software.

Area of Science:

• Computational Chemistry
• Solid State Physics
• Quantum Chemistry

Background:

• Crystal Field (CF) and Ligand Field (LF) theories are crucial for understanding electronic structures of transition metal and lanthanoid complexes.
• Existing computational tools may lack flexibility or comprehensive parametrization schemes.

Purpose of the Study:

• Introduce NJA-CFS, a versatile Python toolkit for advanced CF/LF calculations.
• Provide a user-friendly yet flexible platform for simulating electronic and magnetic properties.
• Facilitate understanding of CF/LF splitting and related phenomena.

Main Methods:

• Development of a Python-based toolkit (NJA-CFS) implementing various CF/LF parametrization schemes (e.g., point-charge model, AOM, AILFT).
• Implementation of routines for crystal field parameter manipulation and rotation.
• Validation of NJA-CFS through comparison with experimental data and ab initio computations.

Main Results:

• NJA-CFS successfully simulates electronic structure properties, including magnetic properties, for diverse metal complexes.
• The toolkit provides accurate results, validated against experimental and ab initio data.
• Demonstrated utility in projecting CF/LF splitting and calculating Tanabe-Sugano diagrams.

Conclusions:

• NJA-CFS offers a powerful and flexible tool for researchers in crystal field and ligand field theory.
• The toolkit's ability to handle multiple formalisms enhances accuracy and applicability.
• NJA-CFS serves as a valuable resource for both new and experienced users in computational materials science.