Data-driven analysis of the electronic-structure factors controlling the work functions of perovskite oxides
Year: 2021
Type: article
Abstract: Tuning the work functions of materials is critical to the performance of microelectronic and (photo)electrochemical devices. We validate data-driven models to predict the work functions of cubic perovskites from simple electronic descriptors.
DOI: 10.1039/d0cp05595f
Institution: Pennsylvania State University
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: green
Awards: G1730317410, G2286170517, G2515106960, G2893699457, G3145663602, G4742140246, DMREF: INFEWS: Collaborative Research: Photocatalyst by Design: Computational Screening of Reconstructed Perovskite Semiconductor Electrodes for Efficient Solar-to-Fuel Conversion, G7683368480, MRSEC: Center for Nanoscale Science
OpenAlex ID: W3132853368