Predictive fabrication of Ni phosphide embedded in carbon nanofibers as active and stable electrocatalysts
Ji-Yong Kim(University of Seoul), Young‐Chang Joo(University of Seoul), Gibaek Lee(University of Seoul), Wonhyo Joo(University of Seoul), Gun‐Do Lee(University of Seoul), Dae‐Hyun Nam(The King's College), Hwanyeol Park(Soonchunhyang University), Sung‐Woo Lee(University of Seoul), Miyoung Kim(Seoul National University), Ho‐Young Kang(University of Seoul), In‐Kyoung Ahn(University of Seoul), Hyoung Gyun Kim(University of Seoul), In‐Ho Jung(University of Seoul)
Cited by 29
Related Papers
Structural-relaxation-driven electron doping of amorphous oxide semiconductors by increasing the concentration of oxygen vacancies in shallow-donor states
|NPG Asia Materials|2016|64
Data driven computational design of stable oxygen evolution catalysts by DFT and machine learning: Promising electrocatalysts
|Journal of Energy Chemistry|2024|59
Spectroscopic capture of a low-spin Mn(IV)-oxo species in Ni–Mn3O4 nanoparticles during water oxidation catalysis
|Nature Communications|2020|57
Enhanced selectivity of atomic layer deposited Ru thin films through the discrete feeding of aminosilane inhibitor molecules
|Applied Surface Science|2020|37