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      Boosting Li-Ion Diffusion Kinetics of Na 2Ti 6– x Mo x O 13 via Coherent Dimensional Engineering and Lattice Tailoring: An Alternative High-Rate Anode

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          Abstract

          <p class="first" id="d3550216e158">Featured with an exposed active facet, favorable ion diffusion pathway, and tailorable interfacial properties, low-dimensional structures are extensively explored as alternative electroactive materials with game-changing redox properties. Through a stepwise "proton exchange-insertion-exfoliation" procedure, in this article, we develop Na2Ti6-xMoxO13 (NTMO) nanosheets with weakened out-of-plane bonding and in-plane Mo6+ doping of the tunnel structure. Real-time phase tracking of the laminated NTMO structures upon the lithiation/delithiation process suggests mitigated lattice variation; meanwhile, the kinetics simulation shows a mitigated Li-ion diffusion barrier along the [010] orientation. At an industrial-level areal capacity loading (2.5 mAh cm-2), the NTMO electrode maintains robust cycling endurance (91% capacity retention for 2000 cycles) even at 40 C, as well as the high energy/power densities in the as-constructed NTMO||LiFePO4 full cell prototype. The dimensional and lattice modifications presented in this study thus encourage further exploration of the tailored cation diffusion pathway for the construction of fast-charging batteries. </p>

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          Author and article information

          Contributors
          Journal
          ACS Nano
          ACS Nano
          American Chemical Society (ACS)
          1936-0851
          1936-086X
          June 28 2022
          May 20 2022
          June 28 2022
          : 16
          : 6
          : 9117-9129
          Affiliations
          [1 ]State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, Shaanxi Joint Laboratory of Graphene, Northwestern Polytechnical University, Xi’an 710072, P. R. China
          [2 ]International Research Center for Composite and Intelligent Manufacturing Technology, Institute of Chemical Power Sources, School of Science, Xi’an University of Technology, Xi’ an 710048, P. R. China
          [3 ]National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland
          Article
          10.1021/acsnano.2c01200
          35593703
          8070fb52-8ca7-4504-a97f-237ad0e69f0f
          © 2022

          https://doi.org/10.15223/policy-029

          https://doi.org/10.15223/policy-037

          https://doi.org/10.15223/policy-045

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