The Solubility of Gases in Ionic Liquids: A Chemoinformatic Predictive and Interpretable Approach. Issue 21 (20th September 2021)
- Record Type:
- Journal Article
- Title:
- The Solubility of Gases in Ionic Liquids: A Chemoinformatic Predictive and Interpretable Approach. Issue 21 (20th September 2021)
- Main Title:
- The Solubility of Gases in Ionic Liquids: A Chemoinformatic Predictive and Interpretable Approach
- Authors:
- Carrera, Gonçalo V. S. M.
Inês, João
Bernardes, Carlos E. S.
Klimenko, Kyrylo
Shimizu, Karina
Canongia Lopes, José N. - Abstract:
- Abstract: This work comprises the study of solubilities of gases in ionic liquids (ILs) using a chemoinformatic approach. It is based on the codification, of the atomic inter‐component interactions, cation/gas and anion/gas, which are used to obtain a pattern of activation in a Kohonen Neural Network (MOLMAP descriptors). A robust predictive model has been obtained with the Random Forest algorithm and used the maximum proximity as a confidence measure of a given chemical system compared to the training set. The encoding method has been validated with molecular dynamics. This encoding approach is a valuable estimator of attractive/repulsive interactions of a generical chemical system IL+gas. This method has been used as a fast/visual form of identification of the reasons behind the differences observed between the solubility of CO2 and O2 in 1‐butyl‐3‐methylimidazolium hexafluorophosphate (BMIM PF6 ) at identical temperature and pressure (TP) conditions, The effect of variable cation and anion effect has been evaluated. Abstract : A chemoinformatic approach based on the codification of all the pairs atomic intercomponent interactions between cation/gas and anion/gas (Ionic Liquid+Gas) in a Kohonen neural network (MOLMAPs) is presented in this work. The form of codification, validated by molecular dynamics, is a first valuable tool to highlight the most attractive and repulsive interactions responsible for a concrete solubility of a given gas in an ionic liquid.
- Is Part Of:
- Chemphyschem. Volume 22:Issue 21(2021)
- Journal:
- Chemphyschem
- Issue:
- Volume 22:Issue 21(2021)
- Issue Display:
- Volume 22, Issue 21 (2021)
- Year:
- 2021
- Volume:
- 22
- Issue:
- 21
- Issue Sort Value:
- 2021-0022-0021-0000
- Page Start:
- 2190
- Page End:
- 2200
- Publication Date:
- 2021-09-20
- Subjects:
- ionic liquids -- chemoinformatics -- molecular dynamics simulations -- gas solubility -- neural networks
Chemistry, Physical and theoretical -- Periodicals
541.05 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1439-7641 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/cphc.202100632 ↗
- Languages:
- English
- ISSNs:
- 1439-4235
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3172.310500
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 19698.xml