Literature DB >> 26913489

Theoretical Study of Spin Crossover in 30 Iron Complexes.

Kasper P Kepp1.   

Abstract

Iron complexes are important spin crossover (SCO) systems with vital roles in oxidative metabolism and promising technological potential. The SCO tendency depends on the free energy balance of high- and low-spin states, which again depends on physical effects such as dispersion, relativistic effects, and vibrational entropy. This work studied 30 different iron SCO systems with experimentally known thermochemical data, using 12 different density functionals. Remarkably general entropy-enthalpy compensation across SCO systems was identified (R = 0.82, p = 0.002) that should be considered in rational SCO design. Iron(II) complexes displayed higher ΔH and ΔS values than iron(III) complexes and also less steep compensation effects. First-coordination sphere ΔS values computed from numerical frequencies reproduce most of the experimental entropy and should thus be included when modeling spin-state changes in inorganic chemistry (R = 0.52, p = 3.4 × 10(-3); standard error in TΔS ≈ 4.4 kJ/mol at 298 K vs 16 kJ/mol of total TΔS on average). Zero-point energies favored high-spin states by 9 kJ/mol on average. Interestingly, dispersion effects are surprisingly large for the SCO process (average: 9 kJ/mol, but up to 33 kJ/mol) and favor the more compact low-spin state. Relativistic effects favor low-spin by ∼9 kJ/mol on average, but up to 24 kJ/mol. B3LYP*, TPSSh, B2PLYP, and PW6B95 performed best for the typical calculation scheme that includes ZPE. However, if relativistic and dispersion effects are included, only B3LYP* remained accurate. On average, high-spin was favored by LYP by 11-15 kJ/mol relative to other correlation functionals, and by 4.2 kJ/mol per 1% HF exchange in hybrids. 13% HF exchange was optimal without dispersion, and 15% was optimal with all effects included for these systems.

Entities:  

Year:  2016        PMID: 26913489     DOI: 10.1021/acs.inorgchem.5b02371

Source DB:  PubMed          Journal:  Inorg Chem        ISSN: 0020-1669            Impact factor:   5.165


  11 in total

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2.  Elucidation of the Reaction Mechanism of C2 + N1 Aziridination from Tetracarbene Iron Catalysts.

Authors:  Sara B Isbill; Preeti P Chandrachud; Jesse L Kern; David M Jenkins; Sharani Roy
Journal:  ACS Catal       Date:  2019-05-31       Impact factor: 13.084

3.  Reconciling Local Coupled Cluster with Multireference Approaches for Transition Metal Spin-State Energetics.

Authors:  Maria Drosou; Christiana A Mitsopoulou; Dimitrios A Pantazis
Journal:  J Chem Theory Comput       Date:  2022-05-18       Impact factor: 6.578

4.  Spin Interconversion of Heme-Peroxo-Copper Complexes Facilitated by Intramolecular Hydrogen-Bonding Interactions.

Authors:  Andrew W Schaefer; Melanie A Ehudin; David A Quist; Joel A Tang; Kenneth D Karlin; Edward I Solomon
Journal:  J Am Chem Soc       Date:  2019-03-14       Impact factor: 15.419

5.  Iron-Catalyzed Reductive Coupling of Alkyl Iodides with Alkynes To Yield cis-Olefins: Mechanistic Insights from Computation.

Authors:  Andrea Darù; Xile Hu; Jeremy N Harvey
Journal:  ACS Omega       Date:  2020-01-15

6.  Improving the Light-Induced Spin Transition Efficiency in Ni(II)-Based Macrocyclic-Ligand Complexes.

Authors:  Alex-Adrian Farcaș; Attila Bende
Journal:  Molecules       Date:  2019-11-22       Impact factor: 4.411

7.  Iron's Wake: The Performance of Quantum Mechanical-Derived Versus General-Purpose Force Fields Tested on a Luminescent Iron Complex.

Authors:  Valentin Diez-Cabanes; Giacomo Prampolini; Antonio Francés-Monerris; Antonio Monari; Mariachiara Pastore
Journal:  Molecules       Date:  2020-07-06       Impact factor: 4.411

8.  Detailed Pair Natural Orbital-Based Coupled Cluster Studies of Spin Crossover Energetics.

Authors:  Benedikt M Flöser; Yang Guo; Christoph Riplinger; Felix Tuczek; Frank Neese
Journal:  J Chem Theory Comput       Date:  2020-04-01       Impact factor: 6.006

9.  Seeing Is Believing: Experimental Spin States from Machine Learning Model Structure Predictions.

Authors:  Michael G Taylor; Tzuhsiung Yang; Sean Lin; Aditya Nandy; Jon Paul Janet; Chenru Duan; Heather J Kulik
Journal:  J Phys Chem A       Date:  2020-04-09       Impact factor: 2.781

10.  Quantitative and Chemically Intuitive Evaluation of the Nature of M-L Bonds in Paramagnetic Compounds: Application of EDA-NOCV Theory to Spin Crossover Complexes.

Authors:  Luca Bondì; Anna L Garden; Paul Jerabek; Federico Totti; Sally Brooker
Journal:  Chemistry       Date:  2020-09-24       Impact factor: 5.236

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