Objective
The DAMOCLES project aims to apply data-driven modeling (i.e. molecular simulations combined with machine learning) to study and tailor metal oxide catalysts for CO2 hydrogenation processes (reverse water-gas shift, CO2 methanation, and CO2 to methanol), with the final goal of screening oxides in search of new and better catalytic materials. The starting point of the project is the newly-released OC22 oxide data set (from Meta FAIR and Ulissi's group) comprising approximately 50k adsorption energies of relevant molecules on multi-component oxide surfaces spanning 52 elements of the periodic table. State-of-the-art machine learning models (e.g. Gaussian process regression, and graph neural networks), will be applied for the prediction of relevant adsorption energies not included in the sparsely labeled OC22 dataset. New density-functional theory (DFT) calculations will target the adsorption energy of molecules not considered in the data set and activation energies of the elementary reactions of the CO2 hydrogenation paths. The catalytic performances (i.e. activity and selectivity) of the oxide surfaces in OC22 will be evaluated through microkinetic modeling. Active learning will be applied to iteratively improve the model predictions with additional DFT calculations targeting the parameters selected with sensitivity analysis and uncertainty quantification. The overarching goal of the DAMOCLES project is to understand the effects of the structure and composition of the catalyst surface in the processes of CO2 hydrogenation and identify new promising catalytic materials. This insight can guide experimental researchers in the synthesis of oxide materials with improved catalytic performances, thus helping the development of economically sustainable processes for the transformation of waste CO2 into useful chemicals and fuels.
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 organic chemistry alcohols
- natural sciences chemical sciences catalysis
- engineering and technology environmental engineering energy and fuels
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
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.
-
HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
See all projects funded under this programme
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-GF - HORIZON TMA MSCA Postdoctoral Fellowships - Global Fellowships
See all projects funded under this funding scheme
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
See all projects funded under this callCoordinator
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.
8000 Aarhus C
Denmark
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.