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      Challenges for fluoride superionic conductors: fundamentals, design, and applications

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      Journal of Physics: Condensed Matter
      IOP Publishing

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          Abstract

          Electronics, which harnesses the properties of electrons, has made remarkable progress since its inception and is a cornerstone of modern society. Ionics, which exploits the properties of ions, has also had a profound impact, as demonstrated by the award of the Nobel Prize in Chemistry in 2019 for achievements related to lithium-ion batteries (LIBs). Ionic conduction in solids is the flow of carrier ions through a solid owing to an electrical or chemical bias. Some ionic materials have been studied intensively because their ionic conductivities are higher than those of liquids, even though they are solids. Among various conductive species, fluoride ions are the most promising charge carriers for fluoride-ion batteries (FIBs) as post LIBs. Increasing fluoride-ion conductivity toward the superionic conductive region at room temperature would be a breakthrough for the room-temperature operation of all-solid-state FIBs. This review focuses on fluoride-ion conductors, from the general concept of ions to the characteristics of fluoride ions. Fluoride-ion conductors are classified according to material type and form, and our current understanding, identification of problems, and future directions are discussed from experimental and theoretical physics perspectives.

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          Most cited references145

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                Author and article information

                Contributors
                Journal
                Journal of Physics: Condensed Matter
                J. Phys.: Condens. Matter
                IOP Publishing
                0953-8984
                1361-648X
                April 26 2023
                July 26 2023
                April 26 2023
                July 26 2023
                : 35
                : 29
                : 293002
                Article
                10.1088/1361-648X/accb32
                d969a985-6446-4ff6-a137-f5016d2efca9
                © 2023

                https://iopscience.iop.org/page/copyright

                https://iopscience.iop.org/info/page/text-and-data-mining

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