CO2 sorption in triethyl(butyl)phosphonium 2-cyanopyrrolide ionic liquid via first principles simulations

Himanshu Goel, Zachary W. Windom, Amber A. Jackson, Neeraj Rai

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Predicting gas-liquid solubility using traditional force field based approaches is not reliable in cases where gas molecules can chemically complex with the liquid phase. Using electronic structure calculations to calculate system energy on-the-fly can overcome this deficiency albeit at a higher computational cost. Here, we use first-principles simulations to predict the solubility of CO2 in triethyl(butyl)phosphonium 2-cyanopyrrolide ionic liquid (IL). We utilize Gibbs ensemble Monte Carlo (GEMC) simulations to predict solubility, and employ ab-initio molecular dynamics (AIMD) to study dynamics and structural properties. Solubility prediction from GEMC simulations is in good agreement with the experimental data. Analyzing complexation states of CO2 molecules reveals that approximately 30% of CO2 molecules are chemically bonded with the anion component of the IL. The combined distribution function analysis shows that upon reaction, the O–C–O angle of the CO2-anion complex varies from 132 to 134 °. Despite these structural changes, plots of mean square displacement (MSD) show minimal difference between the dynamics of neat and IL with dissolved CO2. The vibrational spectra obtained from AIMD simulations match reasonably well for pure and mixed IL as compared to the experimental data.

Original languageEnglish
Article number111323
JournalJournal of Molecular Liquids
Volume292
DOIs
StatePublished - Oct 15 2019
Externally publishedYes

Funding

This work is funded by the National Science Foundation (NSF) under grant number CHE-1265872. This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357. We also acknowledge the usage of computational resources at High Performance Computing Collaboratory at Mississippi State University. This work is funded by the National Science Foundation (NSF) under grant number CHE-1265872 . This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357. We also acknowledge the usage of computational resources at High Performance Computing Collaboratory at Mississippi State University.

Keywords

  • Ab initio molecular dynamics
  • CO capture
  • First principles Monte Carlo
  • Ionic liquid

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