Opendata, web and dolomites

FermiSurfaceFlavours SIGNED

FLAVOURS OF FERMI SURFACE IN THE ABSENCE OF A CONVENTIONAL FERMI LIQUID

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "FermiSurfaceFlavours" data sheet

The following table provides information about the project.

Coordinator
THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE 

Organization address
address: TRINITY LANE THE OLD SCHOOLS
city: CAMBRIDGE
postcode: CB2 1TN
website: www.cam.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 2˙127˙851 €
 EC max contribution 2˙127˙851 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-COG
 Funding Scheme ERC-COG
 Starting year 2019
 Duration (year-month-day) from 2019-04-01   to  2024-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE UK (CAMBRIDGE) coordinator 2˙127˙851.00

Map

 Project objective

Quantum oscillations have revealed signature Fermi surfaces in a diverse range of materials families, with breakthrough advances made by a synthesis of theoretical modelling, experimental vision, materials preparation, and advances in measurement technique. Traditionally, the very observation of a Fermi surface has been taken to imply an underlying Fermi liquid. In this proposal, we seek to transcend this traditional paradigm in the field of correlated electron systems and define a new framework for the observation of quantum oscillations associated with a novel Fermi surface in the absence of a conventional Fermi liquid. Guided by a selection of theoretical proposals, we identify for study materials families starting from the more readily modellable correlated Mott insulators and Kondo insulators without the complication of mobile electrons. We progress to regions where mobile electrons are introduced – where we select for study the doped Mott insulating cuprate superconductors. Eventually we access the intervening region of unconventional quantum critical physics where a Fermi surface in the absence of a conventional Fermi liquid transitions to a Fermi surface underpinned by a conventional Fermi liquid, by lattice-density tuning of selected materials. We propose to investigate the Fermi surface of these regimes of correlated materials phase space that defy conventional Fermi liquid behaviour by the use of advanced quantum oscillation techniques in selected high purity correlated materials, under either ambient pressure conditions or under lattice-density tuning, and using high magnetic fields. We expect the project outcome to have a substantive impact on our understanding of correlated electron systems, especially in hitherto opaque regions of phase space where Fermi liquid behaviour breaks down. We thus anticipate a new era where quantum oscillations serve as a diagnostic for novel phases of correlated matter that lack a conventional Fermi liquid description.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "FERMISURFACEFLAVOURS" 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 "FERMISURFACEFLAVOURS" are provided by the European Opendata Portal: CORDIS opendata.

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

Mu-MASS (2019)

Muonium Laser Spectroscopy

Read More  

MOCHA (2019)

Understanding and leveraging ‘moments of change’ for pro-environmental behaviour shifts

Read More  

CoCoUnit (2019)

CoCoUnit: An Energy-Efficient Processing Unit for Cognitive Computing

Read More