The Ionic Liquid Property Explorer: An Extensive Library of Task-Specific Solvents

Ionic liquids have a broad spectrum of applications ranging from gas separation to sensors and pharmaceuticals. Rational selection of the constituent ions is key to achieving tailor-made materials with functional properties. To facilitate the discovery of new ionic liquids for sustainable applications, we have created a virtual library of over 8 million synthetically feasible ionic liquids. Each structure has been evaluated for their-task suitability using data-driven statistical models calculated for 12 highly relevant properties: melting point, thermal decomposition, glass transition, heat capacity, viscosity, density, cytotoxicity, CO 2 solubility, surface tension, and electrical and thermal conductivity. For comparison, values of six properties computed using quantum chemistry based equilibrium thermodynamics COSMO-RS methods are also provided. We believe the data set will be useful for future efforts directed towards targeted synthesis and optimization.

[1]  Vishwesh Venkatraman,et al.  Predicting CO2 capture of ionic liquids using machine learning , 2017 .

[2]  Tamal Banerjee,et al.  COSMO-RS-Based Screening of Ionic Liquids as Green Solvents in Denitrification Studies , 2010 .

[3]  Ekaterina I Izgorodina,et al.  Towards large-scale, fully ab initio calculations of ionic liquids. , 2011, Physical chemistry chemical physics : PCCP.

[4]  Naoki Tachikawa,et al.  Electrodeposition of palladium from palladium(II) acetylacetonate in an amide-type ionic liquid , 2015 .

[5]  Jin Wu,et al.  Application of ionic liquids for dissolving cellulose and fabricating cellulose-based materials: state of the art and future trends , 2017 .

[6]  P. Simon,et al.  Energy applications of ionic liquids , 2014 .

[7]  M. I. Abdul Mutalib,et al.  Thermophysical properties of 1-alkylpyridinum bis(trifluoromethylsulfonyl)imide ionic liquids , 2010 .

[8]  Gisbert Schneider,et al.  SmiLib v2.0: A Java‐Based Tool for Rapid Combinatorial Library Enumeration , 2007 .

[9]  Ghenadii Korotcenkov,et al.  Ionic Liquids in Gas Sensors , 2014 .

[10]  Cristina Silva Pereira,et al.  Toxicity of Ionic Liquids: Past, Present, and Future , 2016 .

[11]  Vishwesh Venkatraman,et al.  In silico prediction and experimental verification of ionic liquid refractive indices , 2018, Journal of Molecular Liquids.

[12]  G. Wytze Meindersma,et al.  Density, viscosity, and surface tension of synthesis grade imidazolium,pyridinium, and pyrrolidinium based room temperature ionic liquids , 2009 .

[13]  Toki Saito,et al.  How can machine-learning methods assist in virtual screening for hyperuricemia? A healthcare machine-learning approach , 2016, J. Biomed. Informatics.

[14]  Hiroyuki Ohno,et al.  Electrochemical Aspects of Ionic Liquids: Ohno/Electrochemical Aspects of Ionic Liquids , 2005 .

[15]  张庆华,et al.  Novel Cyclic Sulfonium-Based Ionic Liquids: Synthesis, Characterization, and Physicochemical Properties , 2009 .

[16]  M. Gomes,et al.  Densities and refractive indices of imidazolium- and phosphonium-based ionic liquids: Effect of temperature, alkyl chain length, and anion , 2009 .

[17]  Kallidanthiyil Chellappan Lethesh,et al.  Thermodynamic modelling of liquid-liquid extraction of naphthenic acid from dodecane using imidazolium based phenolate ionic liquids , 2016 .

[18]  Bryan M. Wong,et al.  Chemical and Radiation Stability of Ionic Liquids: A Computational Screening Study , 2016 .

[19]  João A. P. Coutinho,et al.  Predictive methods for the estimation of thermophysical properties of ionic liquids , 2012 .

[20]  Jun Qu,et al.  Ionic Liquids as Lubricant Additives: A Review. , 2017, ACS applied materials & interfaces.

[21]  Mikkel N. Schmidt,et al.  Machine learning-based screening of complex molecules for polymer solar cells. , 2018, The Journal of chemical physics.

[22]  Razif Harun,et al.  Screening of Suitable Ionic Liquids as Green Solvents for Extraction of Eicosapentaenoic Acid (EPA) from Microalgae Biomass Using COSMO-RS Model , 2019, Molecules.

[23]  José S. Torrecilla,et al.  A quantum-chemical-based guide to analyze/quantify the cytotoxicity of ionic liquids , 2010 .

[24]  Vishwesh Venkatraman,et al.  KRAKENX: software for the generation of alignment-independent 3D descriptors , 2016, Journal of Molecular Modeling.

[25]  João G Crespo,et al.  Comparison of physicochemical properties of new ionic liquids based on imidazolium, quaternary ammonium, and guanidinium cations. , 2007, Chemistry.

[26]  Kai Leonhard,et al.  Modelling cellulose solubilities in ionic liquids using COSMO-RS , 2010 .

[27]  Kamil Paduszynski,et al.  Viscosity of Ionic Liquids: An Extensive Database and a New Group Contribution Model Based on a Feed-Forward Artificial Neural Network , 2014, J. Chem. Inf. Model..

[28]  I.M. Marrucho,et al.  Ionic liquids in pharmaceutical applications. , 2014, Annual review of chemical and biomolecular engineering.

[29]  Armando J. L. Pombeiro,et al.  The solvation and electrochemical behavior of copper acetylacetonate complexes in ionic liquids , 2014 .

[30]  F. Weigend,et al.  Balanced basis sets of split valence, triple zeta valence and quadruple zeta valence quality for H to Rn: Design and assessment of accuracy. , 2005, Physical chemistry chemical physics : PCCP.

[31]  B. Efron Better Bootstrap Confidence Intervals , 1987 .

[32]  Vishwesh Venkatraman,et al.  Quantitative structure-property relationship modelling of thermal decomposition temperatures of ionic liquids , 2016 .

[33]  Jie Zhang,et al.  Ionic Liquids in Selective Oxidation: Catalysts and Solvents. , 2017, Chemical reviews.

[34]  Peter Murray-Rust,et al.  Chemical Name to Structure: OPSIN, an Open Source Solution , 2011, J. Chem. Inf. Model..

[35]  Michael M. Shara,et al.  Refractive indices of ionic liquids , 2005 .

[36]  José S. Torrecilla,et al.  Sulfonate-Based Ionic Liquids in the Liquid–Liquid Extraction of Aromatic Hydrocarbons , 2011 .

[37]  Scott Boyer,et al.  Assessment of Machine Learning Reliability Methods for Quantifying the Applicability Domain of QSAR Regression Models , 2014, J. Chem. Inf. Model..

[38]  J. M. García de la Vega,et al.  Predictions of Physicochemical Properties of Ionic Liquids with DFT , 2016, Comput..

[39]  A. Klamt,et al.  COSMO-RS: a novel and efficient method for the a priori prediction of thermophysical data of liquids , 2000 .

[40]  A. Klamt The COSMO and COSMO‐RS solvation models , 2011 .

[41]  C. Stevens,et al.  Ionic liquid thermal stabilities: decomposition mechanisms and analysis tools. , 2013, Chemical Society reviews.

[42]  Zhigang Lei,et al.  Parameterization of COSMO-RS model for ionic liquids , 2018, Green Energy & Environment.

[43]  Kamil Paduszyński,et al.  An overview of the performance of the COSMO-RS approach in predicting the activity coefficients of molecular solutes in ionic liquids and derived properties at infinite dilution. , 2017, Physical chemistry chemical physics : PCCP.

[44]  Suojiang Zhang,et al.  Ionic Liquids: Physicochemical Properties , 2009 .

[45]  J. Hallett,et al.  Mixtures of Ionic Liquids , 2013 .

[46]  K. R. Seddon,et al.  Applications of Ionic Liquids in the Chemical Industry , 2008 .

[47]  Thijs J. H. Vlugt,et al.  State-of-the-Art of CO2 Capture with Ionic Liquids , 2012 .

[48]  Michael D. Frenkel,et al.  ILThermo: A Free-Access Web Database for Thermodynamic Properties of Ionic Liquids† , 2007 .

[49]  Ekaterina I. Izgorodina,et al.  Quantum Chemical Methods for the Prediction of Energetic, Physical, and Spectroscopic Properties of Ionic Liquids. , 2017, Chemical reviews.

[50]  Yoshihito Kunugi,et al.  Physical and electrochemical properties of room-temperature dicyanamide ionic liquids based on quaternary phosphonium cations , 2010 .

[51]  Xudong Huang,et al.  Machine Learning-based Virtual Screening and Its Applications to Alzheimer’s Drug Discovery: A Review , 2018, Current pharmaceutical design.

[52]  Chul-Woong Cho,et al.  Environmental fate and toxicity of ionic liquids: a review. , 2010, Water research.

[53]  Tomasz Puzyn,et al.  Prediction of dielectric constant of ionic liquids , 2018, Journal of Molecular Liquids.

[54]  Rafiqul Gani,et al.  Application of COSMO-RS and UNIFAC for ionic liquids based gas separation , 2018, Chemical Engineering Science.

[55]  Ana Rodríguez,et al.  Study of thermodynamic and transport properties of phosphonium-based ionic liquids , 2013 .

[56]  Tomasz Jeliński,et al.  Screening of ionic liquids for efficient extraction of methylxanthines using COSMO-RS methodology , 2017 .

[57]  Vishwesh Venkatraman,et al.  Predicting ionic liquid melting points using machine learning , 2018, Journal of Molecular Liquids.

[58]  Koen Binnemans,et al.  Sulfonic acid functionalized ionic liquids for dissolution of metal oxides and solvent extraction of metal ions. , 2015, Chemical communications.

[59]  C Barber,et al.  Applicability domain: towards a more formal definition$ , 2016, SAR and QSAR in environmental research.