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Open Research Data
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Numerical and experimental generated data during project https://doi.org/10.1038/s41598-024-72478-w
Open Research DataThe dataset was generated using a technique for fast antenna design, which leveraged a machine learning framework with an infill criterion employing predicted enhancement of the merit function, utilizing a particle swarm optimizer as the primary search engine, and employing kriging for constructing the underlying surrogate model. The model operated...
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Numerical and experimental generated data during project https://doi.org/10.1109/JPHOT.2024.3458455
Open Research DataThe dataset was generated during a project aimed at designing a novel terahertz dual-band metamaterial biosensor for early cervical cancer detection. By exploiting the compact, efficient nature of metamaterials, our sensor detects cancerous tissue via resonance frequency shifts from dielectric constant changes. This advancement reduces the biopsy sample...
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Numerical and experimental generated data during project https://doi.org/10.1016/j.jestch.2024.101819
Open Research DataThe dataset was generated during a project aimed at designing a planar multiple-input-multiple-output (MIMO) antenna with dual circular polarization (CP) and a simple geometry for millimeter-wave band. The proposed design features a fully grounded coplanar waveguide (CPW) and a systematically perturbed feedline radiator. The symmetry of the electric...
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Numerical and experimental generated data during project https://doi.org/10.1038/s41598-024-70246-4
Open Research DataThe dataset was generated using a technique for cost-effective and reliable behavioral modeling of microwave passives. Central to our method is a fast global sensitivity analysis (FGSA) procedure, which is devised to identify correlations between design parameters and quantify their impacts on circuit characteristics. The most significant directions...
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Numerical and experimental generated data during project https://doi.org/10.1038/s41598-024-68646-7
Open Research DataThe dataset was generated during a project aimed at designing a wide band, enhanced gain dual-polarized antenna. The radiating element of the antenna is designed with multiple slots positioned at unequal spacing but symmetrical along the origin. This methodology provides three-fold advantages: a reduction of side lobes, an adjustment of phase center,...
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Numerical and experimental generated data during project https://doi.org/10.1038/s41598-024-67234-z
Open Research DataThe dataset was generated during a project aimed designing a novel negative refractive index metamaterial (NIM). The proposed metamaterial exhibits negative effective permittivity and negative effective permeability at a millimeter wave frequency of 28 GHz. This attractive feature is utilized to enhance the gain of a microstrip patch antenna (MPA)....
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Numerical and experimental generated data during project https://doi.org/10.1109/TAP.2024.3369395
Open Research DataThe dataset was generated using a procedure enabling independent scaling of multiple operating frequencies of antennas. The fundamental component of the developed approach is the identification of orthogonal scaling directions affecting individual center frequencies, which is a nontrivial extension of concurrent parameter adjustment. Our technique has...
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Numerical and experimental generated data during project https://doi.org/10.1109/TAP.2024.3370296
Open Research DataThe dataset was generated using a procedure for efficient global optimization (EGO) of multiband antennas, where the surrogate is repeatedly built and refined using custom-defined response features. The infill criteria are based on minimizing a surrogate-evaluated objective function, whereas the underlying optimization engine is the particle swarm optimization...
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Numerical and experimental generated data during project https://doi.org/10.1109/TMTT.2024.3359703
Open Research DataThe dataset was generated using a procedure for low-cost and reliable multiobjective optimization (MOO) of microwave passive circuits. The technique capitalizes on the attributes of surrogate models, specifically artificial neural networks (ANNs), and multiresolution electromagnetic (EM) analysis. We integrate the search process into a machine learning...
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Numerical and experimental generated data during project https://doi.org/10.3390/electronics12224710
Open Research DataThe dataset was generated during a project aimed at designing a super-wideband multiple-input multiple-output (SWB MIMO) antenna with a low profile, low mutual coupling, high gain, and compact size for microwave and millimeter-wave (mm-wave) fifth-generation (5G) applications. A single antenna is a simple elliptical-square shape with a small physical...
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Numerical and experimental generated data during project https://doi.org/10.1038/s41598-023-45890-x
Open Research DataThe dataset was generated using a procedure for low-cost modeling of microwave components utilizing random observables. The major contributions of the work include the implementation of the explicit dimensionality reduction of the confined surrogate model domain and the introduction of this concept into a complete cost-efficient framework for the modeling...
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Numerical and experimental generated data during project https://doi.org/10.1038/s41598-024-77367-w
Open Research DataThe dataset was generated using a two-stage methodology for global design optimization of antenna systems. Its keystone components included dimensionality reduction realized by means of fast global sensitivity analysis (FGSA), a machine learning (ML) procedure involving kriging surrogate models, and fine-tuning of antenna parameters using accelerated...
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Numerical and experimental generated data during project https://doi.org/10.1109/LAWP.2024.3429499
Open Research DataThe dataset was generated during a project aimed at designing an extremely compact frequency-reconfigurable self-diplexing antenna based on fluidic channels for sub-6 GHz applications. The self-diplexing antenna is realized by using slot-loaded half-mode and quarter-mode substrate-integrated rectangular cavities, which take an extremely compact size....
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Numerical and experimental generated data during project https://doi.org/10.3390/electronics12163462
Open Research DataThe dataset was generated using a procedure for unsupervised specification-driven design of planar antennas. The presented methodology capitalizes on a flexible and scalable antenna parameterization, which enables the realization of complex geometries while maintaining reasonably small parameter space dimensionality. A customized nature-inspired algorithm...
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The SEM images of (La0.3Sr0.6Ce0.1)0.9Cu0.05Me0.05xTi0.9O3-δ (Me=Co,Fe,Ni) materials after reduction at 800 deg.C in H2
Open Research DataThe dataset includes SEM images of (La0.3Sr0.6Ce0.1)0.9Cu0.05Me0.05xTi0.9O3-δ (Me=Co,Fe,Ni) powders, which were reduced in hydrogen for 10h at 800 deg.C.
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Results of heavy metal and PAHs concentrations in green wall systems
Open Research DataAnalysis results of PAHs and heavy metal concentrations in biochar, plant and green wall system samples.
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Concentrations of biogenic compounds, organic matter parameters
Open Research DataResults of 10 analysis series of nitrogen, phosphorus, organic matter, anionic surfactants, pH, and EC in graywater after green wall systems with biochar addition in the substrate.
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Photos regarding the laboratory tests performed on single lap adhesive joints and joint components
Open Research DataThis dataset consists of an archive with the photos regarding the laboratory tests performed on single lap adhesive joints and joint components.
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The impact of raw and thermally processed spent coffee grounds on the Miscanthus x giganteus plantation
Open Research DataThis dataset includes the results of a pot experiment with marginal soil mixed with spent coffee grounds, as well as biochar made from spent coffee grounds. Miscanthus x giganteus was planted in marginal soil with various soil amendment ratios.
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Phoenix 3D models
Open Research DataThe dataset includes the generated raw, unstructured triangulated surface files, under STL format, employed as geometries for the Computational Fluid Dynamics (CFD) simulations, as part of the 2022/45/B/ST8/02847 NCN OPUS Project