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The BITMAP project combines advanced computational techniques, including Density Functional Theory and machine learning, to study superconducting phenomena in new materials. It aims to understand superconducting pairing and develop diagnostic tools for analyzing topological properties using convolutional neural network…
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…
ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA
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United States, New York
Type: Research institute
Activity type: Research Organisations
SME: No
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