Project description
Exploring multiferroic material behaviour across scales
Multiferroic materials, which combine ferroelectric, magnetic and ferroelastic properties, hold great potential for ultra-efficient computing, advanced sensors and energy-efficient memory technologies. However, their design is challenging owing to the lack of scalable tools to simulate their complex behaviours across different scales. With the support of the Marie Skłodowska-Curie Actions programme, the Ferro-ML project will create a machine-learning-driven modelling framework that will bridge atomic-level interactions and device-scale performance. By integrating physics-based machine learning with first-principles calculations, the research will enable accurate treatment of long-range electrostatics, electronic excitations and ferroic switching dynamics. Expected outcomes include an open-source platform for multiferroic modelling, offering new insights into material properties and paving the way for next-generation energy-efficient devices.
Objective
This project will develop a machine-learning-enabled multiscale modelling framework to accelerate the discovery and design of multiferroic materials for next-generation optoelectronic devices. Multiferroics uniquely couple ferroelectric, magnetic, and ferroelastic orders, enabling ultra-low-power computing, multifunctional sensors, and energy-efficient memory technologies. Yet their rational design is hindered by the absence of scalable simulation tools that can capture coupled structural, electronic, and polarization responses across atomic to device length scales.
The fellowship will establish physics-informed machine learning approaches that integrate latent Ewald summation and Hamiltonian-based models with first-principles calculations. This will enable accurate treatment of long-range electrostatics, electronic excitations, and ferroic switching dynamics. The methodology progresses from (i) developing advanced ML–DFT workflows, (ii) investigating domain wall dynamics, defect interactions, and their impact on local electronic structures, to (iii) scaling up to device-level simulations of charge transport and switching under realistic operating conditions. Iterative validation with experimental collaborators in spectroscopy and microscopy will ensure predictive accuracy and technological relevance.
The expected outcomes include a validated, transferable open-source platform for modelling multiferroics, new insights into structure–property–function relationships at ferroic interfaces, and design principles for energy-efficient devices. By bridging artificial intelligence, quantum simulations, and device modelling, the project contributes to the Horizon Europe objectives of advancing digital and sustainable technologies, while enhancing the researcher’s independence and career prospects at the intersection of physics, materials science, and AI.
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 physical sciences optics microscopy
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- 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)
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Topic(s)
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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
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2025-PF
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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.
SW7 2AZ London
United Kingdom
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.