Objective
The project establishes the application of inkjet printing as a key technology for the implementation of batteryless and wireless sensor and communication circuits based on wireless power transfer and energy harvesting, enabling the realization of the Internet of Things (IoT). Inkjet printing supports a large volume production, achieves a good resolution necessary for high frequency electronics, enables the use of a variety of low cost and flexible materials, and is a direct-write, and additive manufacturing technology. The research outcomes of the project focus in two goals, 1) demonstrate low profile, conformal, inkjet printed RF energy harvesters and autonomous wireless sensor and communication circuits, and 2) establish inkjet printing in millimeter wave frequencies.
The applicant will become an expert in inkjet printing during the outgoing phase at Georgia Tech ATHENA laboratory, a world leading laboratory in inkjet printed RF electronics, where he would gain hands-on training in the technology, and he will develop transferable skills related to proposal, IPR and outreach activities and a wide scientific and industrial network of contacts. The applicant will also transfer to ATHENA lab his broad experience in energy harvesting and nonlinear circuit design, and he will enable a link with European networks in the field such as EU COST IC1301 on wireless power transfer, and foster a long-term collaboration beyond the project. Upon his return, an industrial secondment is foreseen which will allow the applicant to further train on IPR, as well as familiarize himself with the process of bringing the outcomes of the project into commercial products. The applicant will participate in the Scientific coordination and lead the Microwave Systems and Nanotechnology Group of the return host, which already has the necessary facilities to support inkjet printing fabrication.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesinternetinternet of things
- engineering and technologynanotechnology
- engineering and technologymaterials engineeringtextiles
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- engineering and technologymechanical engineeringmanufacturing engineeringadditive manufacturing
Programme(s)
Funding Scheme
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinator
EH14 4AS Edinburgh
United Kingdom