Objective
The proposed project, Bayesian Experimental Design for in situ (Scanning) Transmission Electron Microscopy (BED-TEM), addresses challenges in conducting in situ (S)TEM experiments, particularly in selecting optimal stimuli parameters. While recent advancements in microelectromechanical systems (MEMS) have expanded stimulus options, determining appropriate values remains elusive, often relying on time-consuming trial and error. The project aims to introduce a software platform integrating Bayesian experimental design with (S)TEM image analysis, facilitating efficient parameter selection. This platform comprises user interface, image processing, and experimental design modules, offering streamlined workflow and enhanced usability. Leveraging expertise in machine learning and (S)TEM, the project seeks to bridge the gap between complex experimental setups and practical application of Bayesian methods. The envisioned breakthrough lies in transforming offline, iterative parameter determination into an online, iterative process, revolutionizing how in situ experiments are conducted and accelerating materials research and development. The project also poses high risks, particularly in adapting machine learning to (S)TEM data and ensuring market demand for the proposed software. However, mitigation strategies include iterative development, collaboration with experts, and continuous user feedback to align the solution with customer needs and commercial viability. Ultimately, BED-TEM promises to reshape materials science by enabling precise characterization of material behaviors at the nanoscale under real-world conditions, with potential applications spanning electronics, aerospace, and beyond.
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.1.1 - European Research Council (ERC)
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-ERC-POC - HORIZON ERC Proof of Concept Grants
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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) ERC-2024-POC
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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.
64289 DARMSTADT
Germany
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.