Objective
Hybrid perovskite photovoltaics (PV) are considered one of the most promising emerging PV technologies that have the potential to becoming a vital part of future’s renewable energy production needed for combating climate change. However, the community still struggles with the scaling and reproducibility when printing perovskite thin-film absorber layers from solution due to the complex perovskite formation process that is susceptible to a variety of environment and process parameters.
This project proposes a novel interface between perovskite solution printing and algorithmic optimization and control theory by equipping a roll-to-roll perovskite printing line with in situ characterization, computational data processing and automatically adjustable process parameters. The characterization is given by point-probe reflection/absorption as well as luminescence imaging measurements. Feedback for control is calculated in real-time using simple control algorithms, at first, and progressing in complexity toward the employment of deep reinforcement learning (DRL), later on. The images are analyzed offline using convolutional neural networks for optimizing absorption/reflection set points for the above-described feedback control.
The proposal has two main goals: 1) Boosting the optimization of perovskite solution printing by effectively balancing exploration and exploitation of the large parameter space 2) demonstrating enhanced process control of certain system states to achieve higher process reproducibility and resilience in perovskite printing. These goals are complementary in a sense that control is exceeded on rapidly accessible parameters while optimization is performed with slowly accessible parameters.
In conclusion, this proposal presents a fundamental and concise new methodology of addressing reproducibility and scalability in perovskite solution printing that could be used for printing of functional thin-film, as well, highlighting its generality.
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 computer and information sciences artificial intelligence machine learning reinforcement learning
- natural sciences earth and related environmental sciences atmospheric sciences climatology climatic changes
- natural sciences computer and information sciences data science data processing
- engineering and technology environmental engineering energy and fuels renewable energy solar energy photovoltaic
- natural sciences computer and information sciences artificial intelligence computational intelligence
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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-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.
00133 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.