Objective
Many of the intriguing properties of complex materials, such as magnetism and superconductivity rely on the cooperative behavior of electrons in systems with several active spin and orbital degrees of freedom. Using femtosecond laser pulses it has become possible to probe and control these systems on microscopic timescales. This does not only provide an entirely new approach to understand the emergence of collective phases, but it may also help to push the current speed limits in information and communication technologies. However, in contrast to the remarkable experimental progress, theory is still unable to provide a microscopic description of the ultrafast dynamics in most materials even on a qualitative level, as long as it remains restricted to single-band models and ad-hoc parameters. To overcome this limitation, we would like develop a versatile computational tool based on the nonequilibrium extension of dynamical mean-field theory (DMFT).
In the previous two decades, the development of equilibrium DMFT into a tool with predictive power has had a transformative effect on our understanding of correlated materials. A successful realization of the proposed research would lay the foundations for a comparable ab-initio understanding of correlated systems out of equilibrium, and provide the numerical techniques to solve multi-orbital quantum impurity models. Already the first applications of a multi-band formalism can lead to seminal insights which are currently out of reach, including an understanding of light-induced superconductivity in materials such as the iron pnictides, or new ways to engineer many-body interactions by external fields and thus drive a system to thermodynamically not accessible phases. The new numerical tools can also be used to unravel dynamical processes in bio-molecules like hemoglobin, whose essential functionality relies on multi-orbital transition metal atoms.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences physical sciences condensed matter physics
- natural sciences biological sciences biochemistry biomolecules
- natural sciences physical sciences optics laser physics
- natural sciences physical sciences electromagnetism and electronics superconductivity
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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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H2020-EU.1.1. - EXCELLENT SCIENCE - 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.
ERC-STG - Starting Grant
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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-2016-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.
91058 ERLANGEN
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.