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    <identifier>10.57760/sciencedb.Partic.00103</identifier>
    <datestamp>2024-10-23T08:51:04Z</datestamp>
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  <dc:date>2024-10-23</dc:date>
  <dc:title>Lanthanum-doped &amp;alpha;-Ni(OH)2 1D-2D-3D hierarchical nanostructures for robust bifunctional electro-oxidation</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.partic.00103</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The development of advanced electrocatalysts for electro-oxidation reactions has attracted much attention because of the critical role of such electrocatalysts in improving the overall efficiency of coupled hydrogen production. We have developed an efficient lanthanum-doped &amp;alpha;-Ni(OH)2 bifunctional catalyst with a 1D-2D-3D hierarchical nanostructure. It shows superior activity and stability in the anodic oxygen evolution reaction (OER) and urea oxidation reaction (UOR). Enrichment of the edge sites and conducting La doping in &amp;alpha;-Ni(OH)2 phase enable formation and stabilization of abundant local Ni3+ ions. This guarantees ultralow onset potentials in electro-oxidation reactions. The 1D-2D-3D hierarchical nanostructure significantly boosts the in situ generation of high-valence active species, which results in efficient and stable OER and UOR performances, and the synergistic merit of doping-induced facile reaction kinetics. Because of the structural benefits of a large surface area, charge-transfer promotion, good structural stability, and bifunctionality, a 1% La-doped &amp;alpha;-Ni(OH)2 hierarchical nanostructure gives superior OER and UOR performances with low overpotentials, large catalytic current densities, and excellent operational stability. It is therefore a promising catalyst for use in simultaneous alkaline wastewater treatment and hydrogen production.</dc:description>
  <dc:subject>Electro-oxidation; Urea oxidation reaction (UOR); Oxygen evolution reaction (OER); Doping; Hierarchical nanostructure</dc:subject>
  <dc:creator>Zimeng Wei</dc:creator>
  <dc:creator>Wenbin Sun</dc:creator>
  <dc:creator>Shanshan Liu</dc:creator>
  <dc:creator>Jindi Qi</dc:creator>
  <dc:creator>Luyao Kang</dc:creator>
  <dc:creator>Jiechen Li</dc:creator>
  <dc:creator>Shanshan Lou</dc:creator>
  <dc:creator>Junfeng Xie</dc:creator>
  <dc:creator>Bo Tang</dc:creator>
  <dc:creator>Yi Xie</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/https://doi.org/10.1016/j.partic.2021.01.002</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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