Objective
Billions of piezoelectric sensors are produced every year, improving the efficiency of many current and emerging technologies. By interconverting electrical and mechanical energy they enable medical device, infrastructure, automotive and aerospace industries, but with a huge environmental cost. The majority of piezoelectric sensors contain Lead Zirconium Titanate (PZT), the fabrication of which requires toxic lead oxide. Prominent lead-free alternatives are heavily processed, and rely on expensive, non-renewable materials such as Niobium.
Biological materials such as amino acids and peptides have emerged as exciting new piezoelectrics. Biomolecular-crystal assemblies can be grown at room temperature with no by-products, and do not require an external electric field to induce piezoelectricity, unlike PZT and other piezoceramics. Currently no research is focused on developing these crystals as reliable, solid-state sensors to integrate into conventional electronic devices, due to their high water solubility, uncontrolled growth, variable piezoelectric response, and difficulty in making electrical contact.
Pb-FREE will take on the ground-breaking challenge of developing biomolecular crystals as organic, low-cost, high-performance sensors, to out-perform and phase-out inorganic device components with dramatically reduced environmental impact. The project will rapidly accelerate the design, growth, and engineering of these novel piezoelectric materials under three pillars:
- An ambitious computational workflow will enable the design of super-piezoelectric crystalline assemblies by combining high-throughput quantum mechanical calculations with machine learning algorithms.
- A new method of growing polycrystalline biomolecules will be developed, allowing for easy, efficient creation of macroscopic piezoelectric structures.
- A state-of-the-art electromechanical testing suite will be established to characterise fully insulated and contacted biomolecular device components.
Fields of science (EuroSciVoc)
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 scienceschemical sciencesinorganic chemistrytransition metals
- natural sciencesbiological sciencesbiochemistrybiomolecules
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectrical engineeringpiezoelectrics
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Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Topic(s)
Funding Scheme
HORIZON-ERC - HORIZON ERC GrantsHost institution
- Limerick
Ireland