S. Randive

High-throughput screening of Heusler alloys for thermoelectrics combining machine-learned densities of states and first-principles transport

Thermoelectrics turn waste heat into electricity, but finding new ones requires transport calculations too costly for whole databases. Searches therefore choose what to calculate from the electronic density of states (DOS), increasingly predicted by machine learning, yet such choices are rarely tested. We test them on...