Kapildeb is a PDRA in the MTG in the Department of Materials Science & Metallurgy.
He works on high-throughput search for new high temperature superconductors using
Density Functional Perturbation Theory (DFPT) combined with Ab initio Random Structure
Searching (AIRSS). He also carried out an investigation of computationally cheap
descriptors of superconductivity that might accelerate the triaging of candidates.
The project is supported by the Deep Science Fund at Intellectual Ventures.
