Machine Learning Guided Dopant Selection for Metal Oxide‐Based Photoelectrochemical Water Splitting: The Case Study of Fe2O3 and CuO
Sign Up to like & getrecommendations! Published in 2021 at "Advanced Materials"
DOI: 10.1002/adma.202106776
Abstract: Doping is an effective strategy for tuning metal oxide‐based semiconductors for solar‐driven photoelectrochemical (PEC) water splitting. Despite decades of extensive research effort, the dopant selection is still largely dependent on a trial‐and‐error approach. Machine learning… read more here.
Keywords: water splitting; oxide based; dopant selection; selection ... See more keywords
Quantitative Analysis of Plasmonic Metal Oxide Nanocrystal Ensembles Reveals the Influence of Dopant Selection on Intrinsic Optoelectronic Properties
Sign Up to like & getrecommendations! Published in 2021 at "Chemistry of Materials"
DOI: 10.1021/acs.chemmater.1c01951
Abstract: LSPR arising from free charge carriers in doped metal oxide (MO) nanocrystals (NCs) has been explored abundantly already but there is still much to learn about the effect of dopant identity on the electronic structure… read more here.
Keywords: influence dopant; dopant selection; carrier; metal oxide ... See more keywords