As we all know, the semimetallic Ni-based crystalline oxide LaNiO
3 (LNO) exhibiting high OER activity mainly arises from the structure and molecular orbital of LNO [
13]. Namely, the Ni cations are in the low spin state with fully occupied t
2g states (Figures S15–S17), and the e
g orbit of Ni
3+ participates in
σ-bonding with the surface-anion adsorbate, accompanied with the single electron and high energy of e
g orbit promoting OER catalytic activity [
9]. However, according to recent studies, the high OER catalytic activity of LNO is caused by the lattice oxygen redox reaction [
12,
36]. When the O 2p state at the LNO Fermi level lies above the oxidation energy of H
2O, the LOM step in the perovskites becomes thermodynamically favorable (Figure
2(d)) [
46]. Therefore, according to the above-mentioned methods, the studies are mainly focused on the LOM and AEM [
11]. The main difference between LOM and AEM lies in the coordination mode of hydroxyl groups: AEM is the top of the B site (Figure
2(b)), while LOM is the top of the B site near the oxygen vacancy (Figure
2(c)). In addition, during the AEM process, transition metal oxides are often limited by the second step of OER for the large O
formation energy (G
O) [
47,
48] while the barrier of LOM is the hydroxyl adsorption step (G
OH) [
12]. Therefore, we further simulate different mechanisms of LNO by the density functional theory (DFT) calculations as shown in Figures
2(e) and
2(f), and the related reaction structures are listed in Figures S21 and S22. The OER pathway free energy of 4-coordinated Ni is always lower than that of 5-coordinated Ni except the hydroxyl adsorption step, which can be attributed to the decrease of dz
2 energy [
49] and the easier formation of Ni-O bond during OER, resulting to the fact that the theoretical overpotential of LOM is much lower than that of AEM. However, the actual operation activity of LNO is much lower than the predicted results [
50,
51], and this can be mainly ascribed to two reasons: (1) the barrier of hydroxyl adsorption and (2) the stable Ni-O bond that obstructs the formation of the O
NB state. In order to address the above questions, we first study the electronic effect between FeOOH and LNO by the first principle DFT calculations. The typical model of Fe-LNO is shown in Figures
2(g) and
2(h) and Figure S26. As the structure of FeOOH nanoclusters is too large for a plane wave-based periodicity DFT simulations [
52], the interaction between two catalysts is constructed by supercell matching [
53]. The lattice mismatching error is less than 8%, and the whole structure is completely relaxed to ensure no additional lattice stress. In order to compare the electronic effects between two phases, NiO
5 in the adjacent FeOOH layer is marked as the surface layer, and the NiO
5 in the interior is marked as bulk. Based on the above model, the synergistic effects between FeOOH and LNO are studied in Figure
2(i). It is evident that the
value (0.28 eV) of Fe-LNO catalyst is significantly lower than that of LNO (1.07 eV), suggesting that the FeOOH can facilitate hydroxyl adsorption on the surface of LNO, which is consistent with the differential charge transfer analysis as shown in Figure S28. Ni 3d electron pairs induced by FeOOH make the hydroxyl coordination more stable and thus shorten Ni-OH bond from 2.022 Å to 1.911 Å. Furthermore, the calculated projected density of states (PDOS) of surface NiO
5 and bulk NiO
5 has been conducted as shown in Figures
2(j) and
2(k). Both of the centers of Ni 3d band and O 2p band shift positively, making the lattice oxygen closer to the Fermi level. The lattice O in NiO
5 will become more favorable to be oxidized during OER, and the surface Ni will become more easy to coordinate with
OH. These results demonstrate that the FeOOH can optimize OH
- filling barriers and weaken Ni-O bond of LNO to decrease the energy barrier of LOM and promote reaction kinetics.