Project description
Advanced data-centric approaches to investigate metal flexibility and strength
Metals play a crucial role in our society, found in nearly everything we interact with. A key challenge in materials science is balancing metal ductility and strength, which relies on understanding dislocations – tiny defects in the crystal structure. Traditionally, dislocation studies have focused on individual properties or collective behaviours. To address this, the ERC-funded DISCO-DATA project proposes a data-centric approach, using simulations to track dislocation behaviour under various conditions. By analysing these data with advanced tools borrowed from graph theory and time-series analysis, DISCO-DATA will seek to develop new plasticity models driven by the data itself, enhancing understanding of metal properties.
Objective
Metals as structural materials are at the core of our society. Almost everything we physically interact with includes some form of metal manufactured to specific properties and formed into a desired shape. Consequently, the understanding and design of the balance between ductility and strength of metals are one of the primary disciplines of materials science. On a fundamental level, this is the description of crystalline line defects called dislocations. At the atomic scale, the current understanding of dislocations is often on the level of individual dislocation properties. At the component scale, collective behavior is commonly formulated in continuum variables with the drawback of limited applicability over a wide range of possible scenarios. Our current understanding still shows a gap in how individual dislocation properties translate into their collective behavior. To address this long-standing question, I propose a data-centric approach. First, a comprehensive dataset of dislocation ensemble trajectories for various loading and initial conditions is created using discrete dislocation dynamics as well as molecular dynamics simulations and iteratively extended. The trajectories are subsequently analyzed with tools borrowed from graph theory and time-series analysis to capture the network character of dislocation structures. Subsequently, a novel class of plasticity models is developed: instead of human-derived state variables, I will `let the data speak for itself’ to bridge the gap between individual and collective dislocation behavior. The project solves two timely challenges in materials science: One is the described gap, and the other is a demonstration of effective research data management of complex materials data providing solutions to data generation, storage, accessibility, data fusion, reuse, and analysis using the example of dislocation trajectories.
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Keywords
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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)
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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
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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 - HORIZON ERC Grants
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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) ERC-2024-STG
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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.
44801 Bochum
Germany
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