2017
DOI: 10.1021/acs.chemmater.7b03591
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Discovery and Characterization of a Pourbaix-Stable, 1.8 eV Direct Gap Bismuth Manganate Photoanode

Abstract: Solar-driven oxygen evolution is a critical technology for renewably synthesizing hydrogen-and carboncontaining fuels in solar fuel generators. New photoanode materials are needed to meet efficiency and stability requirements, motivating materials explorations for semiconductors with (i) band-gap energy in the visible spectrum and (ii) stable operation in aqueous electrolyte at the electrochemical potential needed to evolve oxygen from water. Motivated by the oxygen evolution competency of many Mn-based oxides… Show more

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Cited by 21 publications
(20 citation statements)
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“…Further excited-state studies could probe possible photoexcitation and reaction pathways 72 . For ZnTe and ZnSe in particular, the projected density of states indicate that the high valence bands tend to exhibit anionic (Se, Te) character and the low conduction bands have the character of the cation, Zn, similar to behavior seen in oxide systems 73 . Closer examination of the interactions between individual adsorbates and these states will be the subject of further study.…”
Section: Discussionmentioning
confidence: 61%
“…Further excited-state studies could probe possible photoexcitation and reaction pathways 72 . For ZnTe and ZnSe in particular, the projected density of states indicate that the high valence bands tend to exhibit anionic (Se, Te) character and the low conduction bands have the character of the cation, Zn, similar to behavior seen in oxide systems 73 . Closer examination of the interactions between individual adsorbates and these states will be the subject of further study.…”
Section: Discussionmentioning
confidence: 61%
“…Recently, photoelectrode materials for production of hydrogen in solar cells are studied. Features of dielectric losses and the rate of electric response related to charging and discharging rates are the point of interest . Point defects and disorder in the crystal lattice can affect impedance features.…”
Section: Introductionmentioning
confidence: 99%
“…Features of dielectric losses and the rate of electric response related to charging and discharging rates are the point of interest. [1][2][3][4] Point defects and disorder in the crystal lattice can affect impedance features. From such a point of view, stressstrain effects on permittivity and/or conductivity should be considered.…”
Section: Introductionmentioning
confidence: 99%
“…Representative examples include selection of composition spaces for exploring metallic glasses based on ML predictions of glass forming ability 70 and identication of ultraincompressible materials. 71 ML methods have also been developed to accelerate data interpretation in areas including phase mapping from XRD patterns, 18 microscopy data, 51 signal identication in spectroscopy data, 73 annotation of microstructure images, 74 and visualization of complex compositions. 34,73 ML methods can also be developed into active learning and reasoning techniques, although due to their different roles with respect to experiments, those techniques are discussed separately, as detailed below.…”
Section: Machine Learningmentioning
confidence: 99%
“…2000 unique materials. 74 The research strategy involves collection of combinatorial materials datasets that facilitate data interpretation and scientic discovery, as well as evaluation of every prediction from the computational screening to assess its efficacy. These aspects of the research limit the value of further task-to-task integration and application of active learning, with the broader message being that the impact of the closed-loop concept varies with research strategy and goals.…”
Section: Integration Of Tasks Into a Workflowmentioning
confidence: 99%