Project description
New software solutions to drive organic electronics
A branch of modern electronics – organic electronics deals with organic materials like polymers or small molecules. This market is growing rapidly thanks to continuous innovation and development of advanced organic electronic technologies. The EU-funded DINEMOS project is proposing two new discoveries. As the charge mobility of molecular semiconductors is restricted, the project will deliver a database of molecular semiconductors that offers high charge mobility. In addition, it will deliver time-saving software capable of foreseeing the charge mobility of synthesised molecular materials. Considering that both proposals are of high commercial value, the project aims to secure the patent for the database and copyright for the software.
Objective
This project has two main deliverables in the area of organic electronics:
(i) A database of molecular semiconductors with predicted high charge mobility. This database contains molecular materials that are characterized structurally but the vast majority of its entries are not tested or intellectually protected as molecular semiconductors. The quality of our predictions was verified in a recent paper published in Nature Materials (doi:10.1038/NMAT4970) and such database is therefore of great commercial value.
(ii) A software to predict the charge mobility of newly synthesized molecular materials. Such product will help all developers of new materials to identify their best lead compounds and explore rapidly many variants. Saving time (only the most promising candidates are characterized in full) and reducing the risk of competitors taking advantage of a discovery by minor modification of a good material.
The exploitation plan includes intellectual protection (patent) of the best molecules in (i) and copyright of the software (in (ii)), followed by commercialization of both.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencessoftware
- natural sciencescomputer and information sciencesdatabases
- natural sciencesphysical scienceselectromagnetism and electronicssemiconductivity
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Programme(s)
Funding Scheme
ERC-POC-LS - ERC Proof of Concept Lump Sum PilotHost institution
L69 7ZX Liverpool
United Kingdom