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Aluminum: An underappreciated anode material for lithium-ion batteries

Chang, Xinghua, Xie, Zewei, Liu, Zhiliang, Zheng, Xinyao, Zheng, Jie, Li, Xingguo·2020·Energy Storage Materials

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Research works printed but not linked: 49

  1. Zhao, 2017, Molecular engineering with organic carbonyl electrode materials for advanced stationary and redox flow rechargeable batteries, Adv. Mater., 29, 1607007, 10.1002/adma.201607007 · DOI
  2. Lin, 2014, Twisted aligned carbon nanotube/silicon composite fiber anode for flexible wire-shaped lithium-ion battery, Adv. Mater., 26, 1217, 10.1002/adma.201304319 · DOI
  3. Zhang, 2017, A facile way to fabricate double-shell pomegranate-like porous carbon microspheres for high-performance li-ion batteries, J. Mater. Chem. A, 5, 12073, 10.1039/C7TA02415K · DOI
  4. Puhakainen, 2010, A new phase in the system lithium–aluminum: characterization of orthorhombic Li2Al, J. Solid State Chem., 183, 2528, 10.1016/j.jssc.2010.08.029 · DOI
  5. Gay, 1976, Performance characteristics of solid lithium-aluminum alloy electrodes, J. Electrochem. Soc., 11, 1591, 10.1149/1.2132652 · DOI
  6. Rao, 1977, Lithium aluminum electrode, J. Electrochem. Soc., 124, 1490, 10.1149/1.2133098 · DOI
  7. Melendres, 1978, Structure and cyclic discharge behavior of LiAl electrodes, J. Electrochem. Soc., 125, 727, 10.1149/1.2131536 · DOI
  8. Obrovac, 2014, Alloy negative electrodes for Li-ion batteries, Chem. Rev., 114, 11444, 10.1021/cr500207g · DOI
  9. Hassoun, 2008, A nanostructured Sn-C composite lithium battery electrode with unique stability and high electrochemical performance, Adv. Mater., 20, 3169, 10.1002/adma.200702928 · DOI
  10. Chang, 2017, Constructing three-dimensional honeycombed graphene/silicon skeletons for high-performance Li-ion batteries, ACS Appl. Mater. Interfaces, 9, 31879, 10.1021/acsami.7b09169 · DOI
  11. Ding, 2016, Enhanced electrochemical performance promoted by monolayer graphene and void space in silicon composite anode materials, Nano Energy, 27, 647, 10.1016/j.nanoen.2016.07.031 · DOI
  12. Chang, 2017, Ultrafine Sn nanocrystals in a hierarchically porous N-doped carbon for lithium ion batteries, Nano Res., 10, 1956, 10.1007/s12274-016-1381-6 · DOI
  13. McClain, 2015, Aluminum nanocrystals, Nano Lett., 15, 2751, 10.1021/acs.nanolett.5b00614 · DOI
  14. Jason Jouet, 2005, Surface passivation of bare aluminum nanoparticles using perfluoroalkyl carboxylic acids, Chem. Mater., 17, 2987, 10.1021/cm048264y · DOI
  15. Haber, 1998, Kinetic instability of nanocrystalline aluminum prepared by chemical synthesis; facile room-temperature grain growth, J. Am. Chem. Soc., 120, 10847, 10.1021/ja981972y · DOI
  16. Xia, 2019, Unlocking the lithium storage capacity of aluminum by molecular immobilization and purification, Adv. Mater., 31, 1901372, 10.1002/adma.201901372 · DOI
  17. Zhang, 2019, Low-temperature electroless synthesis of mesoporous aluminum nanoparticles on graphene for high-performance lithium-ion batteries, J. Mater. Chem. A, 7, 13917, 10.1039/C9TA02444A · DOI
  18. Chang, 2017, Enabling high performance lithium storage in aluminum: the double edged surface oxide, Nano Energy, 41, 731, 10.1016/j.nanoen.2017.10.017 · DOI
  19. Zheng, 2008, Metal Al produced by H2 plasma reduction of AlCl3: a thermodynamic and kinetic study on the plasma chemistry, J. Phys. Chem. B, 112, 12748, 10.1021/jp8035204 · DOI
  20. Reiff, 2017, Radiolysis of water with aluminum oxide surfaces, Radiat. Phys. Chem., 131, 46, 10.1016/j.radphyschem.2016.10.022 · DOI
  21. Lu, 2017, Effective optimization of surface passivation on porous silicon carbide using atomic layer deposited Al2O3, RSC Adv., 7, 8090, 10.1039/C6RA27281A · DOI
  22. Graat, 1996, Simultaneous determination of composition and thickness of thin iron-oxide films from XPS Fe 2p spectra, Appl. Surf. Sci., 100, 36, 10.1016/0169-4332(96)00252-8 · DOI
  23. Wirth, 2012, The phase of iron catalyst nanoparticles during carbon nanotube growth, Chem. Mater., 24, 4633, 10.1021/cm301402g · DOI
  24. He, 2011, Iron catalysts for the growth of carbon nanofibers: Fe, Fe3C or both?, Chem. Mater., 23, 5379, 10.1021/cm202315j · DOI
  25. Gale, 1928, Wave-length in the secondary spectrum of hydrogen, Astrophys. J., 67, 89, 10.1086/143095 · DOI
  26. Li, 2013, Tandem plasma reactions for Sn/C composites with tunable structure and high reversible lithium storage capacity, Nano Energy, 2, 1314, 10.1016/j.nanoen.2013.06.012 · DOI
  27. Chang, 2018, Plasma-processed homogeneous magnesium hydride/carbon nanocomposites for highly stable lithium storage, Nano Res., 11, 2724, 10.1007/s12274-017-1902-y · DOI
  28. He, 2016, Environmental transmission electron microscopy investigations of Pt-Fe2O3 nanoparticles for nucleating carbon nanotubes, Carbon, 110, 243, 10.1016/j.carbon.2016.09.026 · DOI
  29. Altay, 2012, Synthesis of multi-walled C nanotubes by Fe-Ni(70wt.%) catalyzed chemical vapor deposition from pre-heated CH4, Mater. Lett., 67, 124, 10.1016/j.matlet.2011.09.011 · DOI
  30. Qin, 2018, Enabling reversible (de)lithiation of aluminum by using bis(fluorosulfonyl)imide-based electrolytes, ChemSusChem, 11, 1
  31. Hamon, 2001, Aluminum negative electrode in lithium ion batteries, J. Power Sources, 97–98, 185, 10.1016/S0378-7753(01)00616-4 · DOI · Paper page
  32. Oltean, 2014, On the origin of the capacity fading for aluminium negative electrodes in Li-ion batteries, J. Power Sources, 269, 266, 10.1016/j.jpowsour.2014.06.118 · DOI · Paper page
  33. Alotaibi, 2018, Stability of hydrogenated amorphous carbon thin films for application in electronic devices, Diam. Relat. Mater., 90, 172, 10.1016/j.diamond.2018.10.016 · DOI
  34. Hirata, 2019, Junho Choi, Effect of precursor gas on the structure and mechanical properties of hydrogenated amorphous carbon films deposited on a trench sidewall, J. Appl. Phys., 125, 10.1063/1.5080471 · DOI
  35. Stevensa, 2001, The mechanisms of lithium and sodium insertion in carbon materials, J. Electrochem. Soc., 148, A803, 10.1149/1.1379565 · DOI
  36. Zheng, 1996, Hysteresis during lithium insertion in hydrogen-containing carbons, J. Electrochem. Soc., 146, 2137, 10.1149/1.1836972 · DOI
  37. Fang, 2010, Ordered multimodal porous carbon with hierarchical nanostructure for high Listorage capacity and good cycling performance, J. Mater. Chem., 20, 10253, 10.1039/c0jm01387k · DOI
  38. Wu, 2011, Doped graphene sheets as anode materials with superhigh rate and large capacity for lithium ion batteries, ACS Nano, 5, 5463, 10.1021/nn2006249 · DOI
  39. Lahiri, 2013, Carbon nanostructures in lithium ion batteries: past, present, and future, Crit. Rev. Solid State, 38, 128, 10.1080/10408436.2012.729765 · DOI
  40. Yao, 2017, Facet-selective deposition of FeOx on alpha-MoO3 nanobelts for lithium storage, ACS Appl. Mater. Interfaces, 9, 39425, 10.1021/acsami.7b13529 · DOI
  41. Ma, 2018, FeOx-based materials for electrochemical energy storage, Adv. Sci., 5, 1700986, 10.1002/advs.201700986 · DOI
  42. Li, 2015, Structural influence of porous FeOx@C nanorods on their performance as anodes of lithium-ion batteries, J. Mater. Chem. A, 3, 18649, 10.1039/C5TA05234C · DOI
  43. Liu, 2019, Multi-core yolk-shell like mesoporous double carbon-coated silicon nanoparticles as anode materials for lithium-ion batteries, Energy Storage Mater., 18, 165, 10.1016/j.ensm.2018.09.019 · DOI
  44. Kwon, 2018, Graphene-coated aluminum thin film anodes for lithium-ion batteries, ACS Appl. Mater. Interfaces, 10, 29486, 10.1021/acsami.8b08358 · DOI
  45. Qin, 2014, Graphene networks anchored with Sn@graphene as lithium ion battery anode, ACS Nano, 8, 1728, 10.1021/nn406105n · DOI
  46. Xu, 2013, Uniform nano-Sn/C composite anodes for lithium ion batteries, Nano Lett., 13, 470, 10.1021/nl303823k · DOI
  47. Zhang, 2014, Pitaya-like Sn@C nanocomposite as high-rate and long-life anode for lithium-ion batteries, Nanoscale, 6, 2827, 10.1039/C3NR05523J · DOI
  48. Liu, 2011, In situ transmission electron microscopy observation of pulverization of aluminum nanowires and evolution of the thin surface Al2O3 layers during lithiation-delithiation cycles, Nano Lett., 11, 4188, 10.1021/nl202088h · DOI
  49. Gu, 2017, Multi-atomic layers of metallic aluminum for ultralong life lithium storage with high volumetric capacity, Adv. Funct. Mater., 27, 1700840, 10.1002/adfm.201700840 · DOI

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Metadata

Authors
Chang, X., Xie, Z., Liu, Z., Zheng, X., Zheng, J., & Li, X.
Affiliations
  • Central South University (CN)
  • Peking University (CN)
Corresponding author
  • Zheng, Jie
  • Li, Xingguo
Venue
Energy Storage Materials
Publisher
Elsevier BV
Published
2020-03
Volume
25
Pages
93-99
ISSN
  • 2405-8289 (ISSN-L)
  • 2405-8297
OpenAlex
W2985773443
Cited by
62
References
0
Citations by year
2026: 5 · 2025: 7 · 2024: 13 · 2023: 11 · 2022: 12 · 2021: 7 · 2020: 7
FWCI
2.34
Type
journal article
Language
en
Open access
closed
Locations
Energy storage materials (publishedVersion)
Funders
  • Beijing Municipal Science and Technology Commission
  • National Natural Science Foundation of China
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
  • Physical Sciences › Engineering › Automotive Engineering › Battery Modeling and Management
  • Physical Sciences › Materials Science › Metals and Alloys › Extraction and Separation Processes
Keywords
aluminum anode, lithium-ion batteries, plasma synthesis, glow discharge plasma, metal nanoparticles, anode materials

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