Literature DB >> 26596596

Multireference Character for 3d Transition-Metal-Containing Molecules.

Wanyi Jiang1, Nathan J DeYonker2, Angela K Wilson1.   

Abstract

Coupled cluster and configuration interaction diagnostics have been examined in order to assess the reliability of single reference quantum methods for a series of 3d transition metal species including hydrides, nitrides, chalcogenides, halides, small clusters, coordination complexes, and metal dimers. Several means of diagnostics have been considered including T1 and D1 diagnostics (the Frobenius norm and matrix 2-norm of coupled cluster amplitudes for single excitations, respectively), C0(2) (the weight of leading configuration of a complete active space wave function), and %TAE (percent total atomization energy). T1 and D1 diagnostics are strongly correlated for certain metal-ligand bonding types. The use of T1 and D1 together with %TAE can provide more reliable assessment of the severity of nondynamical correlation than a single indicator can provide. New criteria, namely T1 > 0.05, D1 > 0.15, and |%TAE| > 10, are suggested to identify inorganic species with substantial nondynamical correlation. For these systems, energies and spectroscopic properties computed using single reference electronic correlation methods may suffer from large errors and unpredictable behavior. Conversely, a computation where a molecule is below one or more of these thresholds does not always imply domination by a single reference. Some historically pathological molecules such as Mn2 and Cr2 show T1 < 0.05 and D1 < 0.15. Current implementations of coupled cluster diagnostics may still be insufficient for categorization of molecules that have pronounced nondynamical correlation.

Entities:  

Year:  2012        PMID: 26596596     DOI: 10.1021/ct2006852

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  18 in total

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7.  Method and Basis Set Analysis of Oxorhenium(V) Complexes for Theoretical Calculations.

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8.  Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems.

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9.  DFTB3 Parametrization for Copper: The Importance of Orbital Angular Momentum Dependence of Hubbard Parameters.

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10.  Performance of Electronic Structure Methods for the Description of Hückel-Möbius Interconversions in Extended π-Systems.

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