Enhanced low-temperature ionic conductivity via different Li+ solvated clusters in organic solvent/ionic liquid mixed electrolytes

2016 ◽  
Vol 18 (36) ◽  
pp. 25458-25464 ◽  
Author(s):  
Luis Aguilera ◽  
Johan Scheers ◽  
Aleksandar Matic
Keyword(s):  
Ionic Liquid ◽  
Ionic Liquids ◽  
Ionic Conductivity ◽  
Low Temperature ◽  
Organic Solvent ◽  
Organic Solvents ◽  
Phase Behaviour ◽  
Mixed Electrolytes ◽  
Macroscopic Properties

We investigate Li+ coordination in mixed electrolytes based on ionic liquids (ILs) and organic solvents and its relation with the macroscopic properties such as phase behaviour and ionic conductivity.

The wormlike micelles formed using an ionic liquid surfactant and polar organic solvents at low temperature without additives and their lubricant properties

Soft Matter ◽  
2021 ◽  
Author(s):  
Huijiao Cao ◽  
Wenlin Xu ◽  
Xia Guo
Keyword(s):  
Ionic Liquid ◽  
Low Temperature ◽  
Organic Solvent ◽  
Organic Solvents ◽  
Wormlike Micelles ◽  
Polar Organic Solvents ◽  
Ionic Liquid Surfactant ◽  
Nonpolar Organic

Wormlike micelles (or reverse wormlike micelles) are flexible cylindrical chains that are normally formed in water (or a nonpolar organic solvent) at 25.0 °C or above; the formation of wormlike micelles at lower temperatures is rare.

scholarly journals Thermoresponsive polyelectrolytes derived from ionic liquids

2015 ◽  
Vol 6 (12) ◽  
pp. 2163-2178 ◽  
Author(s):  
Yuki Kohno ◽  
Shohei Saita ◽  
Yongjun Men ◽  
Jiayin Yuan ◽  
Hiroyuki Ohno
Keyword(s):  
Ionic Liquid ◽  
Ionic Liquids ◽  
Organic Solvents ◽  
Recent Progress ◽  
Phase Behaviour ◽  
Potential Applications

In this review we summarise recent progress on the design, properties, and potential applications of ionic liquid-derived polyelectrolytes showing thermoresponsive phase behaviour after mixing with water or other organic solvents.

1-Alkyl-3-Methylimidazolium Cation Binding Preferences in Hexafluorophosphate Ionic Liquid Clusters Determined Using Competitive TCID Measurements and Theoretical Calculations

2021 ◽  
Author(s):  
Harrison A. Roy ◽  
Mary Rodgers
Keyword(s):  
Ionic Liquid ◽  
Ionic Liquids ◽  
Theoretical Calculations ◽  
Cation Binding ◽  
Macroscopic Properties ◽  
Liquid Clusters

Ionic liquids (ILs) exhibit unique properties that have led to their development and widespread use for a variety of applications. Development efforts have generally focused on achieving desired macroscopic properties...

scholarly journals Ionic Liquid Electrolytes for Safer and More Reliable Sodium Battery Systems

2020 ◽  
Vol 10 (18) ◽  
pp. 6323 ◽  
Author(s):  
Mariangela Bellusci ◽  
Elisabetta Simonetti ◽  
Massimo De Francesco ◽  
Giovanni Battista Appetecchi
Keyword(s):  
Thermal Stability ◽  
Ionic Liquid ◽  
Ionic Conductivity ◽  
Low Temperature ◽  
Room Temperature ◽  
Side Chain ◽  
Electrolyte Mixtures ◽  
Sodium Battery ◽  
Sodium Batteries ◽  
Battery Systems

Na+-conducting, binary electrolytic mixtures, based on 1-ethyl-3-methyl-imidazolium, trimethyl-butyl-ammonium, and N-alkyl-N-methyl-piperidinium ionic liquid (IL) families, were designed and investigated. The anions were selected among the per(fluoroalkylsulfonyl)imide families. Sodium bis(trifluoromethylsulfonyl)imide, NaTFSI, was selected as the salt. The NaTFSI-IL electrolytes, addressed to safer sodium battery systems, were studied and compared in terms of ionic conductivity and thermal stability as a function of the temperature, the nature of the anion and the cation aliphatic side chain length. Room temperature conductivities of interest for sodium batteries, i.e., largely overcoming 10−4 or 10−3 S cm−1, are displayed. Similar conduction values are exhibited by the EMI-based samples even below −10 °C, making these electrolyte mixtures potentially appealing also for low temperature applications. The NaTFSI-IL electrolytes, with the exception of the FSI-ones, are found to be thermally stable up to 275 °C, depending on the nature of the cation and/or anion, thus extending their applicability above 100 °C and remarkably increasing the reliability and safety of the final device, especially in the case of prolonged overheating.

scholarly journals The impact of ionic liquid fluorinated moieties on their thermophysical properties and aqueous phase behaviour

2014 ◽  
Vol 16 (39) ◽  
pp. 21340-21348 ◽  
Author(s):  
Catarina M. S. S. Neves ◽  
Kiki A. Kurnia ◽  
Karina Shimizu ◽  
Isabel M. Marrucho ◽  
Luís Paulo N. Rebelo ◽  
...  
Keyword(s):  
Ionic Liquid ◽  
Ionic Liquids ◽  
Aqueous Phase ◽  
Thermophysical Properties ◽  
Phase Behaviour ◽  
Alkyl Chains ◽  
The Impact

The presence of fluorinated alkyl chains in ionic liquids is quite relevant regarding their thermophysical properties and aqueous phase behaviour.

Ionic liquid-mediated low-temperature formation of hexagonal titanium-oxyhydroxyfluoride particles

CrystEngComm ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. 1568-1576
Author(s):  
Pascal Voepel ◽  
Melanie Sieland ◽  
Junpei Yue ◽  
Igor Djerdj ◽  
Bernd M. Smarsly
Keyword(s):  
Ionic Liquid ◽  
Ionic Liquids ◽  
Low Temperature ◽  
Electrochemical Properties ◽  
Low Temperature Synthesis ◽  
Temperature Synthesis

We present a low-temperature synthesis of Ti(OH)OF in ionic liquids, and its structure and electrochemical properties were elucidated.

scholarly journals 2D assemblies of ionic liquid crystals based on imidazolium moieties: formation of ion-conductive layers

2015 ◽  
Vol 39 (6) ◽  
pp. 4471-4477 ◽  
Author(s):  
Junji Sakuda ◽  
Masafumi Yoshio ◽  
Takahiro Ichikawa ◽  
Hiroyuki Ohno ◽  
Takashi Kato
Keyword(s):  
Ionic Liquid ◽  
Ionic Liquids ◽  
Liquid Crystals ◽  
Ionic Conductivity ◽  
Imidazolium Ionic Liquids ◽  
Ionic Liquid Crystals

Organization of imidazolium ionic liquids into 2D ion-conductive pathways enhances the ionic conductivity of the imidazolium-based ionic liquid crystals.

scholarly journals Developing Machine Learning Models for Ionic Conductivity of Imidazolium-Based Ionic Liquids

2021 ◽  
Author(s):  
Pratik Dhakal ◽  
Jindal Shah
Keyword(s):  
Machine Learning ◽  
Ionic Liquid ◽  
Ionic Liquids ◽  
Ionic Conductivity ◽  
Liquid Mixtures ◽  
Support Vector ◽  
Learning Models ◽  
Ideal Behavior ◽  
Original Dataset ◽  
Machine Learning Models

In this work, we have developed machine learning models based on support vector machine (SVM) and artificial neural network (ANN) to correlate ionic conductivity of imidazolium-based ionic liquids. The data, collected from the NIST ILThermo Database, spans six orders of magnitude and ranges from 275-475 K. Both models were found to exhibit very good performance. The ANN-model was then used to predict ionic conductivity for all the possible combinations of cations and anions contained in the original dataset, which led to the identification of an ionic liquid with 30% higher ionic conductivity than the highest conductivity reported in the database at 298 K. The model was further employed to predict ionic conductivity of binary ionic liquid mixtures. A large number of ionic liquid mixtures were found to possess non-ideal behavior in that an intermediate mole fraction for such ionic liquid mixtures resulted in either a maximum or minimum in the ionic conductivity.

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