Project description
Data-driven approaches for responsible nanomaterials design
Owing to their small size, nanomaterials (NM) display unique physicochemical properties compared to their bulk counterparts. However, their dynamic and interactive nature makes it difficult to recognise and control these properties and to implement the so-called safe-and-sustainable-by-design (SSbD) methodology. However, the European Commission recognises the importance of NM and strongly encourages initiatives exploring the integration of the SSbD concept in advanced material manufacturing. The MSCA-funded SAFETYFANS project aims to materialise this concept by creating a framework using new approach methodologies, namely machine learning (ML). This should help predict the nanoforms' safety, sustainability, and functionality at the synthesis stage. The approach enables in silico testing to reduce resource-consuming experiments and increase public confidence in nanotechnology and ML.
Objective
"""We synthesized a nanoform of novel functions! But, is it safe? Is it sustainable?""
The Supervisors team in ISTEC-CNR (Host) synthesizes in their laboratory facilities new nanoforms (NF) with enhanced functionality. Their lab is a globally reputable center that over the years have established infrastructure and knowledge in developing novel nanoformulations. Everchanging, interactive, NF have a fate hard to track and policy makers, with precaution, limited NF use. However, valuable functionalities led to European initiatives to adopt the safety and sustainability by design (SSbD) concept, that ensures safety intervening at the design stage, avoiding later use uncertainties. But beyond concept, roadmaps are yet to be drawn and practices to be tried.
The questions above are now addressed to the Researcher, who, during her PhD, predicted the toxicity of NF based on their physicochemical characteristics using Machine Learning (ML). The team will realize a central aspect of the SSbD concept: the design, development and validation of a framework that predicts safety, sustainability, and functionality at the synthesis stage of NF, based on previous knowledge, using ML. This framework allows in-silico testing impact on SSbD of changes in NF features without conducting the actual resource-consuming experiments. The endeavor is rooted on information digitization built on exploiting the Hosts industry and academia network and using its laboratory infrastructure to deploy real cases. The project unlocks NF applicability potential, proposes a pragmatic methodology on SSbD implementation and increases public confidence towards nanotechnology and ML. Multidisciplinarity and the Hosts extroversion will distinguish the Researcher in the growing market of scientific integrators as employees and consultants. The acquired experience is also valuable to policy institutions, aligning with the EU Green Deal position on SSbD, and the merging of disciplines in a data-connected world."
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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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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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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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) HORIZON-MSCA-2022-PF-01
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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.
00185 Roma
Italy
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.