49 citations · 63 across the 7 of their papers we have counts for
3 papers · 1 filter
Sampling the Whole Materials Space for Conventional Superconducting Materials
Tiago F. T. Cerqueira, Antonio Sanna, Miguel A. L. Marques
We perform a large scale study of conventional superconducting materials using a machine-learning accelerated high-throughput workflow. We start by creating a comprehensive dataset…
Searching for ductile superconducting Heusler X2YZ compounds
Noah Hoffmann, Tiago F. T. Cerqueira, Pedro Borlido +3
Heusler compounds have always attracted a great deal of attention from researchers thanks to a wealth of interesting properties for technological applications. They are intermetall…
Transfer learning on large datasets for the accurate prediction of material properties
Noah Hoffmann, Jonathan Schmidt, Silvana Botti +1
Graph neural networks trained on large crystal structure databases are extremely effective in replacing ab initio calculations in the discovery and characterization of materials. H…