Cu2+ in liquid ammonia-The impact of solvent flexibility and electron correlation in ab initio quantum mechanical charge field molecular dynamics.
Wahyu Dita SaputriHarno Dwi PranowoManuel J SchulerThomas S HoferPublished in: Journal of computational chemistry (2020)
The impact of solvent flexibility and electron correlation on the simulation results of Cu2+ in liquid ammonia has been investigated via an ab initio quantum mechanical charge field molecular dynamics (QMCF MD) simulation approach. To achieve this, three different simulation systems were considered in this study, namely Cu2+ in rigid and flexible ammonia at Hartree-Fock (HF) level of theory, as well as resolution of identity second order Møller-Plesset (MP2) perturbation theory in the rigid body case. In all cases, a stable octahedral [Cu(NH3 )6 ]2+ complex subject to dynamic Jahn-Teller distortions without the occurrence of ligand exchange was observed. The Cu2+ - NH3 distance in the first shell agrees well with the experimental and other theoretical data. In all three cases, the structural data shows that the rigid-body ammonia model in conjunction with the HF level of theory provides accurate data for the first solvation shell, while at the same time, the computational demand and thus the achievable simulation time are much more beneficial. The vibrational analysis of the Cu2+ - NH3 interaction yields similar force constants in the three investigated systems indicating that there is no distinct difference on the dynamical properties of the first solvation shell. In addition to the QMCF MD simulations, a number of natural bond orbital (NBO) analyses were carried out, confirming the strong electrostatic character of the Cu2+ - NH3 interaction.
Keyphrases
- molecular dynamics
- density functional theory
- room temperature
- ionic liquid
- aqueous solution
- metal organic framework
- solar cells
- electronic health record
- big data
- molecular dynamics simulations
- single molecule
- high resolution
- atomic force microscopy
- machine learning
- artificial intelligence
- data analysis
- electron microscopy
- high speed