Effect on structural, optical, electrical, and magnetic properties of Ce and Ni co-doped SmFeO 3 nanostructures

Journal of Materials Science: Materials in Electronics(2023)

引用 4|浏览2
暂无评分
摘要
In this study, nano-crystalline powder samples of Sm 0.96 Ce 0.04 Fe 1− x Ni x O 3 (0 ≤ x ≤ 0.3; step size = 0.1) have been synthesised via cost-effective sol–gel auto-combustion route and characterised through various analytical techniques to probe the effect of Ce and Ni co-doping on various physical properties of the system under investigation. Rietveld refinement of X-ray diffraction (XRD) patterns along with FTIR spectra elucidates the successful formation of orthorhombic crystal symmetry having Pbnm ( D 2 h 16 ) space group. Williamson–Hall (W–H) analysis has been employed to calculate the average crystallite size and micro-strain induced within the crystal lattice via co-doping. The average particle size evaluated from Transmission electron microscopy (TEM) is concomitant with the W–H findings. UV–Visible spectroscopy corroborates a significant redshift in the energy band-gap from 2.51 to 1.97 eV, whereas there is an increase in the Urbach energy on increasing Ni concentration. Various optical parameters including skin depth, extinction coefficient, and optical conductivity have been realised. Sm 0.96 Ce 0.04 Fe 0.7 Ni 0.3 O 3 exhibits the most prominent ferromagnetic behaviour with remarkably higher values of the magnetisation, coercive field, and remanent magnetisation. In addition, the exchange bias (EB) effect is perceived attributed to the “cluster glass” states for all the samples. DC resistivity data shows typical semi-conducting-like behaviour of all the prepared samples and systematic reduction in the activation energy on the incorporation of Ni ions. The frequency-dependent dielectric measurements divulge the usual dielectric dispersion behaviour. The AC conductivity data obeys the Jonscher power law. Nyquist plots of the studied samples indicate the presence of a non-Debye type of relaxation phenomenon.
更多
查看译文
关键词
magnetic properties,co-doped
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要