Imidazolium-based ionic liquids containing FAP anion: Thermodynamic study

Thermal Decomposition, Low Temperature Phase Transitions and Vapor Pressure of Less Common Ionic Liquids Based on the Bis(trifuoromethanesulfonyl)imide Anion

Four ionic liquids (ILs) based on the bis(trifluoromethanesulfonyl)imide (NTf₂) anion were synthesized and characterized concerning their thermal stability, the occurrence of low temperature phase transitions and their volatility. All these physical quantities are highly important for possible applications. Both monocationic and dicationic ILs were considered. All ILs exhibit thermal stability exceeding 350 °C, an extremely high value, due to the presence of the NTf₂ anion. Monocationic ILs can undergo crystallization, and they melt at 1 and 38 °C. On the contrary, dicationic ILs containing large positively charged ions display only a glass transition around −40 °C, without any crystallization or melting process; this fact is particularly important in view of the possibly low temperature applications of the dication ILs. The vapor pressure, p_v, of the four ILs was measured by isothermal thermogravimetry in the temperature range between 250 and 325 °C; the lowest values of p_v were obtained for the two dicationic liquids, suggesting that they are particularly well suited for high temperature applications. The vaporization enthalpy was calculated through the Clausius–Clapeyron equation and was found in the range between ~140 and ~180 kJ/mol depending on the specific IL.

Imidazolium Based Ionic Liquids: Unbiased Recovering of Vaporization Enthalpies from Infinite-Dilution Activity Coefficients

We propose and test an efficient approach for the assessment of the enthalpies of vaporization of ionic liquids at the reference temperature 298.15 K. The approach is based on activity coefficients at infinite dilution of volatile organic solutes in ionic liquids bearing the imidazolium cation of the general formula [C_nmim][Anion].

A property-oriented adaptive design framework for rapid discovery of energetic molecules based on small-scale labeled datasets

It remains an important challenge to apply machine learning in material discovery with limited-scale datasets available, in particular for the energetic materials. Motivated by the challenge, we developed a Property-oriented Adaptive Design Framework (PADF) to quickly design new energetic compounds with desired properties. The PADF consists of a search space, machine learning model, optimization algorithm and an evaluator based on quantum mechanical calculations. The effectiveness and generality of the PADF were assessed by two case studies on the heat of formation and heat of explosion as the target properties. 88 compounds were selected as the initial training dataset from the search space containing 84 083 compounds generated. SVR.lin/Trade-off coupled with E-state + SOB and KRR/KG coupled with CDS + E-state + SOB were determined to be the best combination pairs for the heat of formation and the heat of explosion, respectively. Most of the ten compounds selected from the first ten iterations exhibit better properties than the optimal sample in the initial dataset. Besides, the heat of explosion as the target property outperforms the heat of formation in designing energetic compounds with high detonation performance. In particular, a new compound selected at the 3rd iteration exhibits high potential as an explosive. Our strategy could be extended to other domains limited by small-scale datasets labeled.

In this work, we construct a self-adaptive design framework to efficiently screen energetic compounds with the desired heat of formation and heat of explosion from the vast chemical space unexplored.

Tetrahydrothiophene-Based Ionic Liquids: Synthesis and Thermodynamic Characterizations

S-alkyltetrahydrothiophenium, [Cn THT]+ bis(trifluorosulfonyl)imide, [NTf2 ]- room temperature ionic liquids (ILs) and tetraphenylborate, [BPh4 ]- salts with alkyl chain lengths from C4 to C10 have been prepared. The ILs and salts were characterized and their purity verified by 1 H- and 13 C-nuclear magnetic resonance, elemental analysis, ion chromatography, Karl-Fischer titration, single crystal X-ray diffraction as well as thermogravimetric analysis. The experimentally determined density and viscosity decrease with increasing temperature. The experimental solubility of the [Cn THT][NTf2 ]-ILs in water (75 to 2.2 mg/L for C4 to C10 ) was modelled with very good agreement by Perturbed Chain Statistical Associating Fluid Theory (PC-SAFT), based on the extremely low vapor pressures for the [Cn THT][NTf2 ]-ILs measured in this work (4.15 to 0.037 ⋅ 10-7 ×psat for C4 to C10 ). PC-SAFT is able to predict and correlate different thermodynamic properties by estimating the Helmholtz residual energy.