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Lithium-Sulfur Battery: Design, Characterization, and Physically-based Modeling

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Lithium-Sulfur Battery: Design, Characterization, and Physically-based Modeling ( lithium-sulfur-battery-design-characterization-and-physicall )

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[171] [172] [173] [174] [175] [176] [177] [178] [179] [180] [181] [182] J. Jung and T. Gottfreund. Biaxially Oriented polyolefing Film Having Improved Surface Properties. U.S. patent 7824600. Issued November 2, 2010. I. Bauer, S. Thieme, J. Brückner, H. Althues, and S. Kaskel. Reduced polysulfide shuttle in lithium-sulfur batteries using Nafion-based separators. Journal of Power Sources 251, 417–422 (2014). M. Kunze, S. Jeong, G. B. Appetecchi, M. Schönhoff, M. Winter, and S. Passerini. Mixtures of ionic liquids for low temperature electrolytes. Electrochimica Acta 82, 69–74 (2012). J. Reiter, E. Paillard, L. Grande, M. Winter, and S. Passerini. Physicochemical properties of N-methoxyethyl-N-methylpyrrolidinum ionic liquids with perfluorinated anions. Electrochimica Acta 91, 101–107 (2013). F. Castiglione, A. Famulari, G. Raos, S. V. Meille, A. Mele, G. B. Appetecchi, and S. Passerini. Pyrrolidinium-Based Ionic Liquids Doped with Lithium Salts: How Does Li+ Coordination Affect Its Diffusivity? The Journal of Physical Chemistry B 118, 13679–13688 (2014). J. C. Burns, A. Kassam, N. N. Sinha, L. E. Downie, L. Solnickova, B. M. Way, and J. R. Dahn. Predicting and Extending the Lifetime of Li-Ion Batteries. Journal of The Electrochemical Society 160, A1451–A1456 (2013). S. Passerini et al. Ionic Liquid-based Electrolytes for Next Generation Batteries. In Beyond Lithium Ion V conference proceedings. Berkeley, CA, USA (2012). http: //bestar.lbl.gov/bli5/presentations/. Retrieved 7/20/2014. V. R. Subramanian and R. D. Braatz. Current Needs in Electrochemical Engineering Education. Interface 19, 37–38 (2010). E.A.Carter.ChallengesinModelingMaterialsPropertiesWithoutExperimentalInput. Science 321, 800–803 (2008). Y. S. Meng and M. E. Arroyo-de Dompablo. First principles computational materials design for energy storage materials in lithium ion batteries. Energy & Environmental Science 2, 589–609 (2009). F. Calle-Vallejo and M. T. M. Koper. First-principles computational electrochemistry: Achievements and challenges. Electrochimica Acta 84, 3–11 (2012). G. K. Prasad and C. D. Rahn. Model based identification of aging parameters in lithium ion batteries. Journal of Power Sources 232, 79–85 (2013). 168

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