Dataset for Analysis of Ferromagnetic Shielding Patterns in Wireless Power Transfer Applications Using the PyAEDT Library in ANSYS

This dataset contains numerically simulated characteristics of ferrite shielding configurations used in inductively coupled Wireless Power Transfer (WPT) systems. Each sample represents a pair of transmitter (Tx) and receiver (Rx) ferrite layouts encoded as 10×10 binary matrices, where: 1 → ferrite block is present 0 → ferrite block is absent The dataset was generated as part of the research “Analysis of Ferromagnetic Shielding Patterns in Wireless Power Transfer Applications Using the PyAEDT Library in ANSYS”, where 1000 of ferrite geometries were automatically modeled in ANSYS Maxwell 3D using the PyAEDT API. For each design, the following parameters are included: tx_pattern, rx_pattern — ferrite shielding matrices tx_ferrite_mass_kg, rx_ferrite_mass_kg — computed ferrite mass L1_microhenry, L2_microhenry — self-inductances of Tx/Rx windings coupling_coefficient — magnetic coupling coefficient k for the modeled geometry id — design identifier The dataset is intended for: optimization of ferrite shielding patterns machine-learning–based prediction of coupling or inductance topology search using genetic algorithms lightweight surrogate modeling for Maxwell simulations research in dynamic WPT receivers or multi-coil systems The data structure allows direct use in Python for training neural networks, evolutionary optimization, or parametric design exploration. Pattern type: Binary, symmetric or asymmetric depending on generator Simulation environment: ANSYS Maxwell 3D (Student version limitations considered) Automation tools: Python + PyAEDT Output format: JSON array of design objects