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Conclusions Introduction The instability of (electrode/electrolyte interface) at high temperatures (> 50°C) and potentials (> 4.5 V) of the most common carbonate-based electrolytes is limiting the development of the next generation of high specific energy Li-ion batteries.[1] However, these problems can mainly be overcome by the use of ionic liquids (ILs) as alternative electrolyte solution. Their physical properties such as thermal (> 120°C)/electrochemical (> 5.5 V) stability and low vapor pressure make them a promising electrolytes.[2]

[1]  Bruno Scrosati,et al.  Ionic-liquid materials for the electrochemical challenges of the future. , 2009, Nature materials.

[2]  John B. Goodenough,et al.  Rechargeable batteries: challenges old and new , 2012, Journal of Solid State Electrochemistry.

[3]  Stefanie Hennig,et al.  Application of the Optimal Design Approach to Improve a Pretransplant Drug Dose Finding Design for Ciclosporin , 2012, Journal of clinical pharmacology.

[4]  V. Braitenberg.  Vehicles, Experiments in Synthetic Psychology , 1984 .

[5]  Rüdiger Dillmann,et al.  LAURON V: A versatile six-legged walking robot with advanced maneuverability , 2014, 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[6]  Leo A. Meyerovich,et al.  Empirical analysis of programming language adoption , 2013, OOPSLA.

[7]  R. Stouffer,et al.  Stationarity Is Dead: Whither Water Management? , 2008, Science.

[8]  Lena E. Friberg,et al.  Application of a Loading Dose of Colistin Methanesulfonate in Critically Ill Patients: Population Pharmacokinetics, Protein Binding, and Prediction of Bacterial Kill , 2012, Antimicrobial Agents and Chemotherapy.

[9]  France Mentré,et al.  Bayesian design criteria: Computation, comparison, and application to a pharmacokinetic and a pharmacodynamic model , 1995, Journal of Pharmacokinetics and Biopharmaceutics.

[10]  M. O. Karlsson,et al.  The importance of modeling interoccasion variability in population pharmacokinetic analyses , 1993, Journal of Pharmacokinetics and Biopharmaceutics.

[11]  Andrew C. Hooker,et al.  PopED: An extended, parallelized, nonlinear mixed effects models optimal design tool , 2012, Comput. Methods Programs Biomed..