The synthesis of Cr2O3 nanocrystal has been done by chemical precipitation method using ammonia as a precipitating agent. The hexagonal crystal structure and single crystalline nature of Cr2O3 powder were verified by X-ray diffraction (XRD) analysis. Debye-Scherrer formula was utilized to ascertain the average size of crystallites. The structure, shape, size, and composition of Cr2O3 nanoparticles were probed by SEM (Scanning Electron Microscopy) and EDX (Energy Dispersive X-ray Spectrometry). Optical band gap energy was estimated by UV-Vis spectroscopy. The various functional groups in Cr2O3 nanoparticles were reckoned by FTIR (Fourier transform infrared spectroscopy) findings. Inductance, Capacitance, and Resistance (LCR) meter was used to ascertain the electrical behavior of Cr2O3 nanoparticles. These finding suggests that the synthesized nanocrystal may be used in development of the electrical and optoelectronic devices.
Perovskite solar cells (PSC), with their high efficiency, low production costs, and diverse uses, have emerged as a viable technology for sustainable energy generation. The present study examines perovskite solar cells' benefic aspects and associated constraints, emphasizing their potential for futuristic advancement. Furthermore, the remarkable applications of perovskites in energy generation encouraged us to investigate the Power conversion efficiency (PCE) of perovskite solar cells compared with other solar energy technologies. Lastly, to resolve issues and promote their equitable adoption, the study presented recommendations for subsequent investigation and advancement.
Run-and-Tumble particles, mimicking the behaviour of microorganisms like E. coli, are a paradigmatic model of active matter. Due to self-propulsion, their random and undirected motion can be rectified in a ratchet potential. Using perturbative field theory, we determine the shape of the potential that produces the maximum particle current as a function of the particles' parameters.
In this paper, we propose a new derivation for the Green-Kubo relationship for the liquid-solid friction coefficient, characterizing hydrodynamic slippage at a wall. It is based on a general Langevin approach for the fluctuating wall velocity, involving a non-markovian memory kernel with vanishing time integral. The calculation highlights some subtleties of the wall-liquid dynamics, leading to superdiffusive motion of the fluctuating wall position.