Objective
The climate change has raised concerns about closing the carbon cycle by converting CO2 and renewable electricity to chemically stored energy in the form of fuels and commodity chemicals. Among these, long-chain hydrocarbons and alcohols are more attractive because of their high energy density and value. Recently, reconstructed oxide-derived Cu (OD-Cu) catalysts have shown the potential to produce multicarbon species at lower overpotentials. However, few simulations have addressed the formation mechanism of these compounds due to the complex dynamics of this system under high currents, and the exact site for the excellent OD-Cu catalytic performance remains to be discovered. The DESCRIPTOR project aims to obtain the first generation of CO2 electroreduction catalyst with useful faradaic efficiencies towards C3+ products by employing computational simulations based on Density Functional Theory (DFT) and augmented by Machine Learning techniques. Firstly, suitable structures for the OD-Cu materials will be obtained through large scale Molecular Dynamics simulations based on Machine Learning potentials, by screening the most common ensembles identified via graph theory. Secondly, the mechanism towards C3+ will be identified via jDFTx scheme, and descriptors of activity and selectivity will be found through dimensionality reduction techniques. Finally, to assess and compare to experimental work from our collaborators, the contribution of the solvent/electrolyte and effect of experimental parameters will be investigated via ab initio Molecular Dynamics and microkinetic modelling. The structures will be characterized via simulations of X-ray Photoelectron Spectroscopy, and Raman spectra, etc. In summary, the outcome of DESCRIPTOR will have a direct scientific and social impact, by increasing the basic knowledge on catalysis of achieving renewable fuel sources and improving EUs industrial competitiveness within new technologies for CO2 reduction.
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.
- natural sciences chemical sciences catalysis electrocatalysis
- natural sciences chemical sciences organic chemistry hydrocarbons
- natural sciences chemical sciences organic chemistry alcohols
- natural sciences computer and information sciences artificial intelligence machine learning
- natural sciences physical sciences optics spectroscopy
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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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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-2021-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.
43007 TARRAGONA
Spain
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.