LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Embedded Mean-Field Theory for Solution-Phase Transition-Metal Polyolefin Catalysis.

Photo from wikipedia

Increasing the wall-clock-time efficiency of quantum mechanics/molecular mechanics (QM/MM) calculations without sacrificing accuracy is crucial to the cost-intensive simulation of solution-phase dynamical processes. In this work, we introduce the use… Click to show full abstract

Increasing the wall-clock-time efficiency of quantum mechanics/molecular mechanics (QM/MM) calculations without sacrificing accuracy is crucial to the cost-intensive simulation of solution-phase dynamical processes. In this work, we introduce the use of embedded mean-field theory (EMFT) as the QM engine in the QM/MM molecular dynamics (MD) simulations to examine polyolefin catalysts in solution. We show that employing EMFT in this mode preserves the accuracy of hybrid-functional DFT in the QM region while providing up to 20-fold reductions in the cost per SCF cycle, thereby increasing the accessible simulation time-scales. We find that EMFT reproduces DFT-computed binding energies and optimized bond lengths to within chemical accuracy, as well as consistently ranking conformer stability. Furthermore, solution phase EMFT/MM simulations provide insight into the interaction strength of strongly coordinating and bulky counter-ions.

Keywords: theory; mean field; solution; solution phase; embedded mean

Journal Title: Journal of chemical theory and computation
Year Published: 2020

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.