Ab Initio Structure and Dynamics of CO at Supercritical Conditions.

J Phys Chem Lett

Department of Chemistry , Rutgers University, Newark , New Jersey 07102 , United States.

Published: December 2019

AI Article Synopsis

  • Green technologies utilize green solvents like supercritical CO, which is crucial for new advancements.
  • Traditional Kohn-Sham density functional theory (DFT) is often too slow for practical dynamics simulations.
  • Using subsystem DFT, researchers found that CO molecules in supercritical fluid exhibit unique structural characteristics, which aligns well with experimental data, confirming this method's efficacy for studying condensed-phase systems.

Article Abstract

Green technologies rely on green solvents and fluids. Among them, supercritical CO already finds many important applications. The molecular-level understanding of the dynamics and structure of this supercritical fluid is a prerequisite for rational design of future green technologies. Unfortunately, the commonly employed Kohn-Sham density functional theory (DFT) is too computationally demanding to produce meaningfully converged dynamics within a reasonable time and with a reasonable computational effort. Thanks to subsystem DFT, we analyze finite-size effects by considering simulation cells of varying sizes (up to 256 independent molecules in the cell) and finite-time effects by running 100 ps trajectories. We find that the simulations are in reasonable and semiquantitative agreement with the available neutron diffraction experiments and that, as opposed to the gas phase, the CO molecules in the fluid are bent with an average OCO angle of 175.8°. Our simulations also confirm that the dimer T-shape is the most prevalent configuration. Our results further strengthen the experiment-simulation agreement for this fluid when comparing radial distribution functions and diffusion coefficient, confirming subsystem DFT as a viable tool for modeling structure and dynamics of condensed-phase systems.

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Source
http://dx.doi.org/10.1021/acs.jpclett.9b03054DOI Listing

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