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Training network for COmputational Spectroscopy In Natural sciences and Engineering

Project description

Innovative tools and training for computational spectroscopy

Computational tools currently fail to meet the requirements of computational spectroscopy, which plays a crucial role in comprehending natural photo-initiated processes and organic optical devices. With this in mind, the EU-funded COSINE project aims to design innovative theoretical tools and computational codes based on Electronic Structure Theory. These tools will facilitate spectroscopic experiments and accurate computer simulations. Moreover, the project intends to provide advanced training in high-performance computing techniques to the next generation of computational chemists for these specific purposes. By considering the effects of external environments, COSINE will develop a comprehensive set of complementary tools. To ensure the success of the proposed training programme, the project will leverage the collective expertise of scientists and institutions across various fields.

Objective

During the last two decades, ab-initio Quantum Chemistry has become an important scientific pillar in chemical research. For electronic ground states, well established theoretical research tools exist, that can be applied by scientists in order to guide experimental interpretation and synthesis design. For optical properties and excited electronic states, dominated by electron correlation, computational tools are lagging behind and are currently missing the accuracy needed in order to have predictive power. However, such tools are urgently required for the fundamental understanding of natural photo-initiated processes as well as organic optical devices.
The COSINE ETN will, on one hand, devise novel theoretical tools and computational codes rooted in Electronic Structure Theory for the investigation of organic photochemistry with the aim of enabling accurate simulation of spectroscopic experiments on the computer. To this end a complementary series of tools, rooted in Coupled Cluster, Algebraic Diagrammatic Construction, Density Functional Theory, as well as selected multi-reference methods,
will be developed, also accounting for the effects of external environments.
On the other hand, COSINE will train the next generation of computational chemists in the most modern state-of-the-art high performance computing techniques for these purposes. The complementary expertise of all participating scientists/institutions, covering all fields required, from Molecular Mechanics to Response Theory, single- and multi-reference methods as well as time-dependent Schrödinger equation, will be exploited and will assure the feasibility and the success of the proposed training. The research which is proposed within COSINE is a quintessential prerequisite for genuine progress in the field of computational spectroscopy on molecules relevant in nature and/or engineering, and in particular for rationally designing new photo-active materials.

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.

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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.

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.

MSCA-ITN-ETN - European Training Networks

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-ITN-2017

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Coordinator

RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG
Net EU contribution

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.

€ 498 432,96
Address
SEMINARSTRASSE 2
69117 Heidelberg
Germany

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Region
Baden-Württemberg Karlsruhe Heidelberg, Stadtkreis
Activity type
Higher or Secondary Education Establishments
Links
Total cost

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.

€ 498 432,96

Participants (7)

Partners (8)

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