Project description
Examining Fermi-surface instabilities in superconductors
The Luttinger–Kohn model is used to calculate the structure of multiple degenerate electronic bands in bulk and quantum well semi-conductors. The EU-funded BITMAP project is proposing a workflow based on the combination of realistic density functional theory (DFT) calculations and the renormalisation group (RG) approach to Fermi-surface instabilities in superconductors. At the epicentre of the project is the pioneering work of Luttinger–Kohn. The project will allow researchers to merge their present skills in the computational modelling of complex materials with modern concepts of machine learning, a sector that nowadays is expanding fast enough to easily foresee its applications in everyday life.
Objective
"The aim of the BITMAP project ""aB-IniTio calculations and MAchine learning for suPerconducting collective phenomena in novel materials"" is to propose a workflow based on the combination of realistic Density Functional Theory (DFT) calculations with the Renormalization Group (RG) approach to superconducting Fermi surface instabilities. The latter is based on the pioneering work of Kohn-Luttinger where one can integrate out the high energy degrees of freedom perturbatively, and obtain effective attractive BCS interactions in non-s-wave channels. Once the superconducting pairing is known, as encoded in the superconducting gap function, a machine learning-based diagnostic procedure of the topological properties will be performed, upon the creation of specific ad-hoc convolutional neural networks. The project will allow the experience researcher to merge his present skills in the computational modeling of complex materials with modern concepts of machine learning, a sector that nowadays is expanding fast enough to easily foresee its applications in everyday life."
Fields of science
Programme(s)
Funding Scheme
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinator
40126 Bologna
Italy