Facet-governed Zn homoepitaxy via lattice potential regulation
Xianzhong YangYan LüZhetong LiuHaoqing JiZiyan ChenJun PengYiwen SuYuhan ZouChao WuShixue DouPeng GaoZhanhu GuoJingyu Sun
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The comprehensive regulation of an in situ grown overlayer and ionic liquid additive enables the Zn anode to harvest homoepitaxial deposition along certain Zn crystal facets, facilitating the commercial application of aqueous Zn-ion batteries.Keywords:
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A GaAs–AlGaAs DH laser with a buried facet into AlGaAs epitaxial layers is presented. This buried facet laser shows no facet degradation even when immersed in hot water. Recognizing the facet boiling experiment as an accelerated test of facet erosion, the AlGaAs facet of this laser seems to be highly reliable as compared with that of a conventional one. Another feature of the buried facet laser is found in its relatively narrow far-field pattern: Optical radiation power is concentrated within 50 deg., so that an efficient coupling to the fiber was achieved. These characteristics found in the buried facet lasers are advantageous for the light sources of high output power.
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Presents a set of typology of characteristics for Speciators to various facets namely Basic facet, Personality facet, Property facet, Energy facet, Space facet and Time facet for use in the construction of coextensive class numbers according to Colon Classification. The application of typology Is. illustrated with examples from depth schedules for different fields of knowledge.
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We present an effective method to synthesize 15 nm magnetite nanocrystals with the morphology of square and circular nanoplates, which expose (001) facet and (111) facet, respectively. The magnetic property and electrochemical behavior towards As(III) exhibit strong facet-dependent characteristics. Theoretical calculations confirm the facet-dependent characteristics and provide the corresponding explanations.
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We tested predicted relationships (Widiger, 1993; Widiger, Trull, Clarkin, Sanderson, & Costa, 1994) between personality disorder scores and facets of the five-factor model, and evaluated the relative benefits of facet-level analyses over domain-level analyses. Data from 614 undergraduates indicated: (a) 63% of the predicted facet relationships were significant, although many unpredicted relationships also emerged; (b) facet-level analyses did not yield substantially stronger effect sizes than domain-level analyses; but (c) facet-level analyses provided much better discrimination between personality disorders than domain-level analyses. Facets of the openness to experience domain also helped discriminate between personality disorders, which is in contrast to previous domain-level findings that openness is not important.
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