A5044921816- Photovoltaic System Optimization Techniques
- Magnetic Properties and Applications
- Solar Radiation and Photovoltaics
- Non-Destructive Testing Techniques
- Gyrotron and Vacuum Electronics Research
- solar cell performance optimization
- Solar Thermal and Photovoltaic Systems
- Particle accelerators and beam dynamics
- Electric Motor Design and Analysis
- Magnetic properties of thin films
- Electromagnetic Simulation and Numerical Methods
- Advanced Battery Technologies Research
- Neural Networks and Applications
- Energy Harvesting in Wireless Networks
- Microstructure and Mechanical Properties of Steels
- Metaheuristic Optimization Algorithms Research
- Silicon Carbide Semiconductor Technologies
- Advanced DC-DC Converters
- Numerical methods in engineering
- Wireless Power Transfer Systems
- Quantum and electron transport phenomena
- Magnetic Field Sensors Techniques
- Nanopore and Nanochannel Transport Studies
- Electromagnetic Scattering and Analysis
- Microwave Engineering and Waveguides
Humboldt-Universität zu Berlin
2025
Charité - Universitätsmedizin Berlin
2024-2025
Freie Universität Berlin
2025
University of Catania
2004-2024
Roma Tre University
2014-2023
Applied Materials (Germany)
2023
Engineering (Italy)
2017
GTx (United States)
2004
Systems Research Institute
2003
Polish Academy of Sciences
2003
Abstract The High Magnetic Passive Loop (HMCPL) technique is proposed as an innovative passive shielding system to mitigate the undesired dispersion of magnetic field produced by a wireless power transfer (WPT) system, thus reducing risk hazardous human exposure. structure described both in terms lumped parameters circuit, useful for sizing, and geometrical representation solved finite element method, assess attenuation effects. Sizing resonance capacitors shielded WPT approached Pareto...
Measuring solar irradiance allows for direct maximization of the efficiency in photovoltaic power plants. However, devices sensing, such as pyranometers and pyrheliometers, are expensive difficult to calibrate thus seldom utilized Indirect methods instead implemented order maximize efficiency. This paper proposes a novel approach measurement based on neural networks, which may, turn, be used directly. An initial estimate suggests cost sensor proposed herein may price competitive with other...
Due to its significance in the operation of power systems, optimal flow (OPF) problem has attracted increasing interest with introduction smart grids. Optimal developed as a crucial instrument for resource planning effectiveness well enhancing performance electrical networks. Transmission line losses, total generation costs, FACTS (flexible alternating current transmission system) voltage deviations, transfer capability, stability, emission units, system security, etc., are just few examples...
In this work, a dynamic analysis describing the charge and discharge process of supercapacitor for DC-link between photovoltaic source constant power load is presented. The results in complete nonlinear model that can be used simulation control DC–DC converters, achieving fast recharge times accurate steady-state voltages DC link to avoid overcharging during low absorption scenarios. proposed approach includes parasitic elements efficiency effects on conversion stage, proposing equations...
Electromagnetic compatibility (EMC) is crucial when designing and operating wireless power transfer (WPT) systems for charging Electric Vehicles (EVs). WPT technology allows the transmission of electrical energy from a source to device without requiring physical contact. However, it can generate electromagnetic interference (EMI) that could disturb nearby electronic devices or harm people nearby. Shielding techniques are commonly employed mitigate EMI in systems. implementing effective...
This letter studies the dynamical behavior of spin-Hall nanoscillators from a micromagnetic point view. The model parameters have been identified by reproducing recent experimental data quantitatively. Our results indicate that strongly localized mode is observed for in-plane bias fields such as in experiments, while predict excitation an asymmetric propagating large enough out-of plane field similarly to what spin-torque nanocontact oscillators. findings show can find application spin-wave...
To determine the size and contrast required for liver lesion detection in regular low-dose computed tomography (CT) examinations. 100 abdominal CT datasets were retrospectively collected, with 50 originating from vendor A B. Half each scanner regular-dose oncologic examinations, other half acquired using a kidney stone protocol. Cylindrical lesions 23 different combinations of diameter to surrounding digitally inserted. Seven radiologists assessed detectability four-alternative forced choice...
Abstract Spin-Hall oscillators (SHO) are promising sources of spin-wave signals for magnonics applications, and can serve as building blocks magnonic logic in ultralow power computation devices. Thin magnetic layers used “free” SHO contact with heavy metals having large spin-orbital interaction, and, therefore, could be subject to the spin-Hall effect (SHE) interfacial Dzyaloshinskii-Moriya interaction ( i -DMI), which may lead nonreciprocity excited spin waves other unusual effects. Here,...
From a computational point of view, the identification Bouc-Wen (BW) hysteresis model is hard task due to large number parameters be found. This one reasons for which it rarely used modeling magnetic hysteresis, where other models are widely (e.g., Preisach and Jiles-Atherton). However, opportunities that differential expression BW could offer its use in more complex computation nonlinear inductors inserted into circuit so on) justify deeper investigation on adoption ferromagnetism. In this...
In this work, a computationally efficient approach for the simulation of DC-DC converter connected to photovoltaic device is proposed. The methodology based on combination highly formulation one-diode model (PV) devices and state-space as well an accurate steady-state detection methodology. was experimentally validated assess its accuracy. both in dynamic response (tested full linearity with simulated PV input) outdoor experimental measurement setup). detects automatically reaching steady...
An effective and performing hysteresis model, based on a deep neural network, with the capability to reproduce evolution of magnetization processes under arbitrary waveforms excitation is here presented. The proposed model consists standalone multi-layer feed-forward reserved input neurons for past values both (H) output (M), aiming at reproduction storage mechanism typical hysteretic systems. training set has been opportunely prepared starting from simulations, performed by Preisach model....
An automatic and optimized approach based on multivariate functions decomposition is presented to face Multi-Input-Multi-Output (MIMO) applications by using Single-Input-Single-Output ...
Rotational magnetizations of an Ni-Fe alloy are simulated using two different computer modeling approaches, physical and phenomenological. The first one is a model defined single hysteron operator based on the Stoner Wohlfarth theory second suitable system neural networks. models identified validated experimental data, and, finally, example their application for finite-element analysis given.