Computational chemistry provides
a versatile toolbox for studying
mechanistic details of catalytic reactions and holds promise to deliver
practical strategies to enable the rational
in silico
catalyst design. The versatile reactivity and nontrivial electronic
structure effects, common for systems based on 3d transition metals,
introduce additional complexity that may represent a particular challenge
to the standard computational strategies. In this review, we discuss
the challenges and capabilities of modern electronic structure methods
for studying the reaction mechanisms promoted by 3d transition metal
molecular catalysts. Particular focus will be placed on the ways of
addressing the multiconfigurational problem in electronic structure
calculations and the role of expert bias in the practical utilization
of the available methods. The development of density functionals designed
to address transition metals is also discussed. Special emphasis is
placed on the methods that account for solvation effects and the multicomponent
nature of practical catalytic systems. This is followed by an overview
of recent computational studies addressing the mechanistic complexity
of catalytic processes by molecular catalysts based on 3d metals.
Cases that involve noninnocent ligands, multicomponent reaction systems,
metal–ligand and metal–metal cooperativity, as well
as modeling complex catalytic systems such as metal–organic
frameworks are presented. Conventionally, computational studies on
catalytic mechanisms are heavily dependent on the chemical intuition
and expert input of the researcher. Recent developments in advanced
automated methods for reaction path analysis hold promise for eliminating
such human-bias from computational catalysis studies. A brief overview
of these approaches is presented in the final section of the review.
The paper is closed with general concluding remarks.