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Novel machine learning approach to develop composite materials for antennas and IoT sensors


The current idea proposes the investigation of composite materials built from resin or multi-filament 3D printers as candidates for lightweight, flexible and custom – electric permittivity materials for antennas and wireless sensors.


The challenge:

  • Successful use of ML models for the effective implementation of the engineered composite materials with the desired characteristic.
  • The combined use of organic materials and conductive filaments for the one-step and single-machine fabrication of passive wireless sensors and antennas.