AppliedPhys, Volume 1, Issue 1 (September 2025) – 5 articles

We present some numerical results on piston and tilt detection by using the Young experiment with Genetic Algorithms (GAs). We have simulated the cophasing of a flat surface by following the experimental setup and the mathematical model for Optical Path Difference (OPD) in the Young experiment to characterize piston and tip–tilt misalignment images in the order of a few nanometers, considering diffraction effects and random noise of 5%. Thus, the best fitness obtained by the genetic algorithm is considered as a determining factor to decide a complete error measurement because the proposed algorithm is capable of extracting the values of piston and tilt separately, regardless of which error is present or both. As a result, we have developed a study on piston detection from (0.001, 10) mm with a tilt present in the same pattern from (0, $\lambda /2$) by using GAs embedded in a computational application. Full article

This research paper provides a conceptualization of a new type of plasma thruster based on screw-pinch physics and on the magnetic mirror concept. The article proposes a method to size a screw-pinch with a non-uniform axial magnetic field as a plasma thruster and to estimate its propulsive performance. The results obtained show that the plasma thruster is suitable for space missions inside the Earth’s sphere of influence and for space transportation of small satellites. Full article

We studied the quantum control of the classical motion of a two-dimensional exciton by optimizing the time-dependent electric field of a stripe-like gate acting on the exciton and inducing its time-dependent quantum dipole moment. We propose a search method that significantly reduces computational requirements while efficiently identifying optimal control parameters. By leveraging this method, we can precisely manipulate the exciton’s final position and velocity over a specified evolution time. These results can be applied for the control of exciton fluxes and populations, and for spatially resolved light emission in two-dimensional semiconducting structures. Full article

The increasing use of nanoparticles (NPs) in various industries has intensified research into plant–NP interactions. NP properties significantly impact their cellular uptake and plant effects, highlighting the need for advanced monitoring techniques to understand their influence on plant growth and seed germination. This study uses biospeckle optical coherence tomography (bOCT) to investigate the size-dependent effects of zinc oxide (ZnO) NPs and microparticles (MPs) on lentil seed internal activity, visualizing dynamic changes under ZnO particle stress. ZnO was selected for its agricultural relevance as a micronutrient. Lentil seeds were submerged in ZnO particle dispersions (<50 nm, <100 nm, 5 μm, 45 μm) at concentrations of 0 (control), 25, 50, 100, and 200 mg/L. OCT structural images were obtained at 12.5 frames per second using a swept-source OCT (central wavelength 1.3 μm, bandwidth 125 nm, sweep frequency 20 kHz). OCT scans were performed before immersion (0 h) and 5, 10, and 20 h after lentil seed exposure to particle dispersion. The biospeckle image, representing dynamic speckle patterns characteristic of biological tissues, was calculated as the ratio of standard deviation to mean of 100 OCT structural images over 8 s. Biospeckle contrast was compared 0, 5, 10, and 20 h post-exposure. ZnO NPs <50 nm and 100 nm negatively impacted lentil seed biospeckle contrast at all concentrations. In contrast, 45 µm ZnO MPs significantly increased it even at 100 mg/L, while 5 μm MPs decreased biospeckle contrast at higher concentrations. bOCT results were compared with conventional morphological (germination percentage, growth, biomass) and biochemical (superoxide dismutase, catalase, and hydrogen peroxide) measurements. Conventional methods require one week, whereas bOCT detects significant changes in only five hours. The results from bOCT were consistent with conventional measurements. Unlike standard OCT, which monitors only structural images, bOCT is capable of monitoring internal structural changes, allowing rapid, non-invasive assessment of nanomaterial effects on plants. Full article