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Published on: June 9, 2023
Transition Temperature for Spin-Crossover Materials with the Mean Value Ensemble Hubbard-U Correction
Angel Albavera-Mata1,2, Richard G Hennig1,2, S B Trickey1,3
1Center for Molecular Magnetic Quantum Materials, Quantum Theory Project, University of Florida, Gainesville, Florida 32611, United States.
Calculating spin-crossover transition temperatures (T1/2) is complex. This study refines methods using Hubbard-U corrections and approximations, achieving accurate results with cost-effective density functional theory for materials screening.
Area of Science:
- Computational Chemistry
- Materials Science
- Solid-State Physics
Background:
- Accurate calculation of spin-crossover (SCO) transition temperatures (T1/2) in condensed phases is computationally challenging.
- Accurate adiabatic crossover energy difference (ΔE_HL) and entropic contributions are critical for predicting SCO behavior.
- Existing density functional approximations (DFAs) struggle to balance accuracy and computational cost for SCO materials.
Purpose of the Study:
- To investigate the impact of Hubbard-U corrections and entropic contributions on SCO thermochemical properties.
- To develop a computationally efficient and accurate method for calculating T1/2 for SCO materials.
- To enable high-throughput screening of SCO materials by combining low computational cost with reliable predictions.
Main Methods:
- Employed a Hubbard-U correction derived from a reference ensemble spin-state for 20 SCO materials.
- Utilized a first-coordination-sphere approximation and assumed similar vibrational contributions from outer atoms.
- Compared the performance of the PBE generalized gradient DFA with the r2SCAN meta-generalized gradient DFA.
Main Results:
- The Hubbard-U correction, particularly from simple representations, can overcorrect ΔE_HL, leading to reduced T1/2 values.
- The proposed method using PBE-DFA achieves T1/2 results comparable to the more computationally expensive r2SCAN DFA.
- The simplified approach effectively captures essential thermochemical properties for SCO materials.
Conclusions:
- A computationally efficient approach combining PBE-DFA with specific approximations and Hubbard-U corrections enables accurate T1/2 prediction.
- This method offers a promising pathway for high-throughput computational screening of spin-crossover materials.
- The findings reduce the reliance on computationally intensive methods for SCO material characterization.
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