Imran Ali

The development of high-performance optical limiting materials remains a significant challenge, and this work addresses it by creating integrated inorganic-organic composite materials via hybrid synthesis approaches. A novel manganese-iron-phosphorus-silicon-tin (Mn _1.25 Fe _0.7 P _0.44 Si _0.56 Sn _0.2 , MnFePSiSn) alloy/graphene oxide (GO) nanocomposite was synthesized by combining laser ablation in liquid for MnFePSiSn nanoparticles with hydrothermal processing (120 °C, 12 h) for integration of MnFePSiSn/rGO for advanced optical limiting applications. Z -scan measurements under 532 nm laser irradiation demonstrate that the resulting MnFePSiSn/rGO nanocomposite exhibits remarkably enhanced optical limiting performance compared to its individual components. Specifically, the nanocomposite possesses an optical limiting threshold that is not only lower than that of pristine MnFePSiSn but also 1/50 that of pristine GO. At an incident intensity of 47.96 GW cm ^–2 , the composite shows a significantly deeper valley in its Z -scan trace, attributable to facilitated electron transfer within the hybrid structure that substantially strengthens the two-photon absorption process. This study provides a facile and effective strategy for developing highly efficient optical limiting nanomaterials with ultralow thresholds, showcasing great potential for high-performance laser protection devices.

Partially etched Ti ₃ Al _{1− x} C ₂ exhibit good saturable absorption properties and enhanced oxidative stability. The material size affects the optical response, which provides insights into the preparation of nonlinear optical materials.

Nanocomposites have many promising applications such as in hyperthermia and photodegradation. Laser ablation-assisted synthesis of nanocomposites offers several advantages such as it is a green synthesis method, cost-effective, ease of handling and absence of any by-products. This study included the fabrication of copper-silicon (Cu-Si) nanocomposites using liquid-phase laser ablation, followed by an investigation into their potential uses in photothermal hyperthermia and photodegradation. The surface properties, chemical composition and crystallinity were examined using X-ray photoelectron spectroscopy (XPS) and X-ray diffraction (XRD) techniques. Spherical, capsule-like and hexagonal nanoparticles with a size of 28[ ]nm were observed from transmission electron microscopy (TEM). The near-infrared (NIR) 808[ ]nm laser was used to obtain the optimum photothermal hyperthermia temperature. At increasing concentrations of nanocomposites and operating laser powers, the temperature trend of nanofluid was monitored and revealed a rising trend. Moreover, an increasing trend in degradation efficiency of methylene green dye was observed, with values of 46.4%, 81.7% and 95.7%, corresponding to photocatalyst doses of 10[ ]mg, 20[ ]mg and 30[ ]mg, respectively. These results shed light on the potential application of contamination-free nanocomposites for hyperthermia and photodegradation.

The wide variety of uses for nanoparticles (NPs) is due to their unique combination of features in a single assembly. The arc melted copper-cobalt ingot sample were qualitatively studied using laser induced breakdown spectroscopy (LIBS). Later, using the fabricated alloy as a target material for Nd:YAG laser ablation, CuCo₂O₄ NPs were synthesized. The magnetic properties of the synthesized NPs were studied using a vibrating sample magnetometer (VSM). To determine the composition and morphology of the synthesized NPs, X-ray diffraction (XRD), energy dispersive X-ray (EDX) analysis, transmission electron microscopy (TEM), scanning electron microscopy (SEM), and dynamic light scattering (DLS) techniques were used. The TEM and DLS showed that particles were spherical in shape with an average size of 32 nm and 28 nm, respectively. The antibacterial activity of the synthesized NPs was studied against S. aureus and E. coli strains as positive and negative controls using a standard approach. CuCo₂O₄ nanoparticles exhibited non-mutagenic potential against S. typhimurium TA-98 and TA-100 strains. Furthermore, the magnetic hyperthermia study of CuCo₂O₄ nanofluid was examined using a lab-made apparatus. The specific absorption rates (SAR) of 4.57 and 5.17 W/g were determined for the magnetic field strength of 230 μT and 247 μT, respectively. The study shows antibacterial activity and magnetic hyperthermia potential of the synthesized nanoparticles.

Magneto-plasmonic Ag/Ni and Ag/Fe nanoparticles (NPs) were synthesized in this work using the environmentally safe and contaminant-free dual-pulsed Q-switched Nd:YAG 1064 nm laser ablation method. The optical and magnetic characteristics of synthesized nanomaterials were investigated using a vibrating sample magnetometer and an ultraviolet-visible absorption spectrometer. According to transmission electron microscopy (TEM), the shape of Ag/Ni and Ag/Fe NPs seems to be spherical, with mean diameters of 7.3 nm and 11.5 nm, respectively. X-ray diffraction (XRD) was used in order to investigate and describe the phase structures of the synthesized nanomaterials. The synthesized NPs reached maximum temperatures such as 48.9, 60, 63.4, 70, 75, and 79 °C for Ag/Ni nanofluid and 52, 56, 60, 68, 71, and 72 °C for Ag/Fe nanofluid when these nanofluids were subjected to an NIR 808 nm laser with operating powers of 1.24, 1.76, 2.36, 2.91, 3.5, and 4 W, respectively. Because of the plasmonic hyperthermia properties of nanoparticles, nanofluids display higher temperature profiles than pure water. According to these findings, plasmonic nanoparticles based on silver might be used to treat hyperthermia.

In IoT applications, energy supply, especially wireless power transfer (WPT), has attracted the most attention in the relevant literature. In this paper, we present a new approach to laser irradiance solar cell panels and predicting energy transfer efficiency. From the previous experimental datasets, it has been discovered that in the laser charging (LC) process, temperature has a great impact on the efficiency, which is highly correlated with the laser intensity. Then, based on artificial neural network (ANN), we set the above temperature and laser intensity as inputs, and the efficiency as output through back propagation (BP) algorithm, and use neural network and BP to train and modify the network parameters to approach the real efficiency value. We also propose the genetic algorithm (GA) to optimize the learning rate of the BP, which achieved slightly superior results. The results of the experiment indicate that the prediction method reaches a high accuracy of about 99.4%. The research results in this paper provide an improved solution for the LC application, particularly the energy supply of IoT devices or small electronic devices through WPT.