Opendata, web and dolomites

topDFT SIGNED

A topological approach to electron correlation in density-functional theories

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "topDFT" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF NOTTINGHAM 

Organization address
address: University Park
city: NOTTINGHAM
postcode: NG7 2RD
website: www.nottingham.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 1˙998˙649 €
 EC max contribution 1˙998˙649 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-COG
 Funding Scheme ERC-COG
 Starting year 2018
 Duration (year-month-day) from 2018-05-01   to  2023-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF NOTTINGHAM UK (NOTTINGHAM) coordinator 1˙998˙649.00

Map

 Project objective

Density-functional theory (DFT) is the most widely used method to study the electronic structure of complex molecules, solids, and materials. Its use across chemistry, solid-state physics and materials science is a testament to its black-box nature and low cost. However, many important areas remain inaccessible to DFT simulations, including applications to strongly correlated materials and systems in electromagnetic fields. The topDFT project will deliver new conceptual approaches to design the next generation of density-functional methods. This will be achieved by pursuing three parallel strategies: i) Developing new strategies for the design of functionals ii) Implementing topological DFT, a new computational framework iii) Developing extended density-functional theories.

A new approach to the exchange–correlation problem, based on a perspective from the kinetic energy of the electrons, will be developed – leading to new practical density-functional approximations (DFAs). A new framework for computation will be developed by combining techniques from topological electronic structure methods with DFT, allowing for the identification of correlation ‘hotspots’. This idea is chemically intuitive; electrons close together interact in a fundamentally different way to those far apart. Recognising these hotspots, and adapting dynamically to them, will lead to new DFAs with substantially greater accuracy.

Extended-DFTs will open the way to study strongly correlated systems (e.g. high-Tc superconductors, transition metal oxides, Mott insulators) of importance in chemistry and materials science and magnetic systems (e.g. molecular magnets, spin glasses, spin frustrated systems) of importance in nano-science, advanced materials and spintronics applications. The topDFT project will have wide impact on areas including chemical synthesis, materials design and nano-science that underpin key areas such as manufacturing and medicine of benefit to all sections of society.

 Publications

year authors and title journal last update
List of publications.
2019 Christof Holzer, Andrew M. Teale, Florian Hampe, Stella Stopkowicz, Trygve Helgaker, Wim Klopper
GW quasiparticle energies of atoms in strong magnetic fields
published pages: 214112, ISSN: 0021-9606, DOI: 10.1063/1.5093396
The Journal of Chemical Physics 150/21 2020-01-28

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "TOPDFT" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "TOPDFT" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

HYDROGEN (2019)

HighlY performing proton exchange membrane water electrolysers with reinforceD membRanes fOr efficient hydrogen GENeration

Read More  

CARBYNE (2020)

New carbon reactivity rules for molecular editing

Read More  

MaeBAia (2018)

Mechanisms of adverse effects of Beta-Agonists in Asthma

Read More