2016
DOI: 10.1016/j.matchemphys.2016.02.049
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Effects of intrinsic defects on effective work function for Ni/HfO2 interfaces

Abstract: The effective work functions and formation energies for Ni/HfO2 interfaces with and without defects, including interfacial intrinsic atom substitution and atom vacancy in interfacial layer were studied by first-principles methods based on density functional theory (DFT). The calculated results of the formation energies indicate that the interfaces with O-Ni combining bonds in the interfacial region are more energetically favorable and a small amount O vacancy is comparatively easy to form in O-Ni interface, es… Show more

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Cited by 6 publications
(3 citation statements)
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“…The interface EWF can be estimated using potential-line-up method, as schematically shown in Fig. 2(a) , and the interface EWF is generally estimated as follows 41 43 Where , and in the first term is the electron affinity, band gap and the valence band maximum (VBM) of HfO 2 , respectively. As is well-known, DFT underestimates the oxide gap.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The interface EWF can be estimated using potential-line-up method, as schematically shown in Fig. 2(a) , and the interface EWF is generally estimated as follows 41 43 Where , and in the first term is the electron affinity, band gap and the valence band maximum (VBM) of HfO 2 , respectively. As is well-known, DFT underestimates the oxide gap.…”
Section: Resultsmentioning
confidence: 99%
“…While the second term Δ V is determined by the charge transfer that takes place in interfacial region. More detailed estimation of interface EWF can be found in our previous study 43 . For Ni(111)/Gr/HfO 2 (111) interface, when the graphene is inserted into Ni(111)/HfO 2 (111) interface, it would only change interfacial structure but Ni and HfO 2 bulk electronic structures were not affected.…”
Section: Resultsmentioning
confidence: 99%
“…In the present review, we focus on a number of material descriptors, including the work function (Lang & Kohn, ), dipole moment (Rittner, ), d‐band centers (Hammer & Nørskov, ), Fermi softness (Huang, Xiao, Lu, & Zhuang, ), as well as their influence on the three above‐mentioned key processes that determine the performance of photocatalysis. Moreover, all these descriptors mentioned above can also be used in other kinds of catalytic systems (Dahl, Logadottir, Jacobsen, & Nørskov, ; Stamenkovic, Mun, Mayrhofer, Ross, & Markovic, ; Zhong, Xu, Zhang, Liao, & Huang, ). By presenting application examples of these descriptors from a mechanistic viewpoint, we aim to achieve three goals: firstly, to inspire new perspectives toward photocatalyst/catalyst design and optimization based on descriptors; secondly, to provide some experimental guidance upon analyzing the descriptor‐performance relation; and finally, to point out some remaining challenges and opportunities for the usage of descriptors.…”
Section: Introductionmentioning
confidence: 99%