Synergistic Enhancement of Water-Splitting Performance Using MOF-Derived Ceria-Modified g-CN Nanocomposites: Synthesis, Performance Evaluation, and Stability Prediction with Machine Learning.

Diminishing the charge recombination rate by improving the photoelectrochemical (PEC) performance of graphitic carbon nitride (g-CN) is essential for better water oxidation. In this concern, this research explores the competent approach to enhance the PEC performance of g-CN nanosheets (NSs), creating their nanocomposites (NCs) with metal-organic framework (MOF)-derived porous CeO nanobars (NBs) along with ZnO nanorods (NRs) and TiO nanoparticles (NPs). The synthesis involved preparing CeO NBs and g-CN NSs through the calcination of respective precursors, while the sol-gel method is employed for ZnO NRs and TiO NPs.

Synthesis of Ni ion doped ZnO-MWCNTs nanocomposites using an sol-gel method: an ultra sensitive non-enzymatic uric acid sensing electrode material.

Nickel (Ni) ion doped zinc oxide-multi-wall carbon nanotubes (NZC) with different composition ratios of MWCNTs (from 0.01 to 0.1 wt%) are synthesized through an sol-gel method.

Structural refinement and electrochemical properties of one dimensional (ZnO NRs)(CNs) functional hybrids for serotonin sensing studies.

Herein, the efficient serotonin (5-HT) sensing studies have been conducted using the (ZnO NRs)(CNs) nanocomposites (NCs) having appropriate structural and electrochemical properties. Initially, the different compositions of ZnO nanorods (NRs), with varying content of carbon nanostructures (CNs=MWCNTs and RGO), are prepared using simple in-situ wet chemical method and thereafter these NCs have been characterized for physico-chemical properties in correlation to the 5-HT sensing activity. XRD Rietveld refinement studies reveal the hexagonal Wurtzite ZnO NRs oriented in (101) direction with space group 'P6mc' and both orientation as well as phase of ZnO NRs are also retained in the NCs due to the small content of CNs.

Mimicking the Synaptic Weights and Human Forgetting Curve Using Hydrothermally Grown Nanostructured CuO Memristor Device.

In the present investigation, we have fabricated copper oxide (CuO) thin film memristor by employing a hydrothermal method for neuromorphic application. The X-ray diffraction pattern confirms the films are polycrystalline in nature with the monoclinic crystal structure. The developed devices show analog memory and synaptic property similar to biological neuron.