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Computational Spectroscopy In Natural Sciences and Engineering

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Computational Spectroscopy in Natural Science and Engineering
COSINE Logo
Informations
NameComputational Spectroscopy in Natural Science and Engineering
AbbreviationCOSINE
PeriodFrom 2018-01-01 to 2021-12-31
PurposeDevising novel theoretical tools and computational codes for the investigation of organic photochemistry
Project details
Total cost3745978.92 €
EU contribution3745978.92 €
Coordinated inGermany
TopicMSCA-ITN-2017 - Innovative Training Networks

COmputational Spectroscopy In Natural Sciences and Engineering (COSINE) is a Marie Skłodowska-Curie Innovative Training Network in the field of theoretical and computational chemistry, focused on computational spectroscopy. The main goal of the projects is to develop theoretical tools: computational codes based on electronic structure theory for the investigation of organic photochemistry and for simulation of spectroscopic experiments. It is part of the European Union's Horizon 2020 research funding framework.

Objective

The main purpose of COSINE is the development of ab-initio research tools to study optical properties and excited electronic states, which are dominated by electron correlation. This tools are developed for the investigation of organic photochemistry with the aim of 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, are developed.

Nodes

The project is divided into 8 different nodes:

European FlagThis project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement N° 765739

Partner organisations

References

  1. "Training network for COmputational Spectroscopy in Natural sciences and Engineering | Projects | H2020".
  2. Jensen, Frank (2017), Introduction to computation chemistry, John wiley & sons
  3. Norman P, Ruud K, Saue T (2018), Principles and Practices of Molecular Properties: Theory, Modeling, and Simulations, John Wiley & Sons
  4. 2013/743/EU: Council Decision of 3 December 2013 establishing the specific programme implementing Horizon 2020 - the Framework Programme for Research and Innovation (2014-2020) and repealing Decisions 2006/971/EC, 2006/972/EC, 2006/973/EC, 2006/974/EC and 2006/975/EC
  5. Helgaker T, Jorgensen P (2014), Molecular electronic-structure, John Wiley & Sons
  6. "Marie Skłodowska-Curie Innovative Training Networks - LMU Munich".
  7. 09/05/2017, 8634, 256/2017, III/8.19 https://www.sns.it/sites/default/files/documenti/02-08-2017/decreti_del_direttore_accordi_e_convenzioni_i_semestre_2017.pdf
  8. "EU projects".
  9. "Computational Spectroscopy in Natural sciences and Engineering (COSINE): Coupled cluster methods for linear X-ray spectroscopies, photoionisation, pho todetachment and photoelectron spectroscopy - DTU Orbit".
  10. "About - ITN-COSINE".

External links

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