Objective
Flexoelectricity is the generation of electric polarization under mechanical strain gradient or mechanical deformation due to the electric field gradient (converse flexo). It is a more general phenomenon than the linear change in polarization due to stress, the piezoelectric effect. Flexoelectricity exists in a wider range of centrosymmetric materials especially nontoxic materials useful for biomedical application. It grows dominantly in energy density at submicro- or nanoscale enabling self-powered nano devices such as body implants and small-scale wireless sensors. Among the emerging applications of flexoelectricity, energy harvesters are the basic front devices of wide technological impact. Despite the advantages offered by flexoelectricity, research in this field is still in germination. Experiments are limited in measuring, explaining and quantifying some key phenomena. Materials engineering and engineering of strain are the key challenges to bring energy harvesting structures/systems to become a viable technology. Accomplishment of this task pressingly requires a robust modelling tool that can assist the development of flexoelectric energy harvesters. Hence, the aim of the project is to develop a computational framework to support the characterization, design, virtual testing and optimization of the next generation nano energy harvesters. It will be able to (1) predict the energy conversion efficiency and output voltage influenced by layout and surface effects of structures in 3D, (2) to virtually test the performance with various vibrational dynamic conditions, and (3) to break through current designs of simple geometry for flexoelectric structures by optimization considering manufacturing constraints. Innovative metamaterial/3D folding energy harvesters expectantly outperforming current piezoelectric energy harvesters of the same size will be manufactured and tested.
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. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-STG - Starting Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2018-STG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
30167 Hannover
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.