Oxygen evolution reaction (OER) as the rate-determining reaction of water splitting has been attracting enormous attention. At present, only some noble-metal oxide materials (IrO and RuO ) have been reported as efficient OER electrocatalysts for OER. However, the high cost and scarcity of these noble-metal oxide materials greatly hamper their large-scale practical application. Herein, we synthesize 100% (111) faceted NiFe O single crystals with multiple vacancies (cation vacancies and O vacancies). The (111) facets can supply enough platform to break chemical bonds and enhance electrocatalytic activity, due to its high density of atomic steps and kink atoms. Compared to NiFe O (without vacancies), the as-synthesized NiFe O -Ar (with vacancies) exhibits a dramatically improved OER activity. The NiFe O -Ar-30 shows the lowest onset potential (1.45 V vs RHE) and the best electrocatalytic OER activity with the lowest overpotential of 234 mV at 50 mA cm . Furthermore, based on the theoretical calculations that the introduction of multiple vacancies can effectively modulate the electronic structure of active centers to accelerate charge transfer and reaction intermediates adsorption, which can reduce the reaction energy barrier and enhance the activity of electrochemical OER.
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http://dx.doi.org/10.1002/asia.202000468 | DOI Listing |
Adv Sci (Weinh)
December 2024
Shenzhen Key Laboratory of Advanced Thin Films and Applications, College of Physics and optoelectronic engineering, Shenzhen University, Shenzhen, 518060, P. R. China.
Crystalline thermoelectric materials, especially SnSe crystals, have emerged as promising candidates for power generation and electronic cooling. In this study, significant enhancement in ZT is achieved through the combined effects of lattice distortions and band convergence in multiple electronic valence bands. Density functional theory (DFT) calculations demonstrate that cation vacancies together with Pb substitutional doping promote the band convergence and increase the density of states (DOS) near the Fermi surface of SnSe, leading to a notable increase in the Seebeck coefficient (S).
View Article and Find Full Text PDFSmall
December 2024
School of Materials Science and Engineering, State Key Laboratory of Optoelectronic Materials and Technologies, Sun Yat-sen University, Guangzhou, 510275, P. R. China.
NaNiMnO (NNM) is regarded as a promising cathode material for Na-ion batteries (NIBs), but suffers from irreversible phase transformations characterized by multiple voltage plateaus, resulting in poor cycle stability and inferior rate capability. To address these issues, the NaNiCuZnMnO (NNCZM) cathode material is synthesized by a cation chelation and reassembly process, which can promote a more uniform element distribution than that prepared by the solid-state method (S-NNCZM), resulting in better Na diffusion kinetics and rate capability. Replacing Ni with a small amount of Zn prevents the P2-O2 phase transformation, while replacing Ni with an appropriate amount of electrochemically active Cu eliminates Na-vacancy ordering and additionally contributes to capacity.
View Article and Find Full Text PDFChem Sci
December 2024
College of Materials Science and Engineering, Zhengzhou University Zhengzhou 450052 P. R. China
Preparation of two-dimensional (2D) ferromagnetic nanomaterials and the study of their magnetic sources are crucial for the exploration of new materials with multiple applications. Herein, two-dimensional room-temperature ferromagnetic (FM) CaTiO nanosheets are successfully constructed with the assistance of supercritical carbon dioxide (SC CO). In this process, the SC CO-induced strain effect can lead to lattice expansion and introduction of O vacancies.
View Article and Find Full Text PDFJ Phys Chem Lett
December 2024
Department of Mechanical Engineering & Materials Science, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States.
Machine learning interatomic potentials, particularly ones based on deep neural networks, have taken significant strides in accelerating first-principles simulations, expanding the length and time scales of the simulations with accuracies akin to first-principles simulations. Notwithstanding their success in accurately describing the physical properties of pristine ionic systems with multiple oxidation states, herein we show that an implementation of deep neural network potentials (DNPs) yield vacancy formation energies in MgO with a significant ∼3 eV error. In contrast, we show that moment tensor potentials can accurately describe all properties of the oxide, including vacancy formation energies.
View Article and Find Full Text PDFAdv Sci (Weinh)
December 2024
Department of Oral and Maxillofacial Surgery, The Affiliated Stomatological Hospital of Nanjing Medical University, State Key Laboratory Cultivation Base of Research, Prevention and Treatment for Oral Diseases, Jiangsu Province Engineering Research Centre of Stomatological Translational Medicine, Nanjing Medical University, Nanjing, Jiangsu, 210029, China.
Four to eight percent of patients with head and neck cancer will develop osteoradionecrosis of the jaw (ORNJ) after radiotherapy. Various radiation-induced tissue injuries are associated with reactive oxygen and nitrogen species (RONS) overproduction. Herein, Fe doping is used in VO (Fe-VO) nanozymes with multienzyme activities for ORNJ treatment via RONS scavenging.
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