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ADVERTISEMENT RETURN TO ISSUEEditorialNEXTReticular Chemistry—Construction, Properties, and Precision Reactions of FrameworksOmar M. YaghiCite this: J. Am. Chem. Soc. 2016, 138, 48, 15507–15509Publication Date (Web):December 7, 2016Publication History Published online7 December 2016Published inissue 7 December 2016https://pubs.acs.org/doi/10.1021/jacs.6b11821https://doi.org/10.1021/jacs.6b11821editorialACS PublicationsCopyright © 2016 American Chemical Society. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views12022Altmetric-Citations270LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail PDF (169 KB) Get e-AlertscloseSUBJECTS:Covalent organic frameworks,Functionalization,Metal organic frameworks,Metals,Molecules Get e-Alerts
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Correction to: npj Computational Materials (2016) 2, 16002; doi:10.1038/npjcompumats.2016.2; published online 18 March 2016 Since the online publication of the above article, it has been noted that an acknowledgement section should have been included and the text should read: ‘This work was supported primarily by the U.
Several theorems are presented which predict in a qualitative manner the behavior of a large class of dynamic nonlinear networks containing coupled and multiterminal resistors, inductors, and capacitors. A very general and rather surprising result is presented which guarantees that most autonomous and nonautonomous dynamic nonlinear active networks of practical interest have no finite "forward" escape time solutions. In the case of autonomous networks, sufficient conditions are given which guarantee that the solution waveforms possess various forms of stability properties. The concepts of eventual passivity and eventual strict passivity are invoked to guarantee that all solution waveforms are bounded and eventually uniformly bounded, respectively. The properties of reciprocity and monotonicity (local passivity) are invoked to guarantee that all solutions are completely stable. The further imposition of a growth condition guarantees that all solutions will converge to a globally asymptotically stable equilibrium point. In this case, the magnitude of all solutions is shown to be bounded between two exponential waveforms for all time <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">t > 0</tex> . An algorithm is presented which computes for the maximum "transient decay" time constant associated with the upper bounding exponential. The main features of the majority of the theorems presented in this paper are that their hypotheses are simple and easily verifiable-often by inspection. The hypotheses are of two types: first, very general conditions on the network state equations and second, conditions on the individual element characteristics and their interconnections. The hypotheses and proofs of the latter type of theorems depend heavily upon the graphtheoretic results of an earlier paper [14] and involve solely the examination of the global nature of each element's constitutive relation and the verification of a topological "loop-cutset" conditions.
Abstract Supported Co is an effective catalyst for the Fischer–Tropsch synthesis of various hydrocarbon products that can be converted to diesel. Recent studies have shown that the formation of methane can be suppressed and the formation of C 5+ products enhanced by promoting Co with Mn. Because the activity and product selectivity of Co‐based catalysts are dependent on the size of Co nanoparticles and the extent of Co promotion by Mn, it is desirable to understand these effects by investigating the performance of Co nanoparticles with well‐defined size and elemental composition. The present study was undertaken with the aim of producing well‐defined nanoparticles of Co and Co–Mn and then supporting them on silica. Co and Co–Mn particles were synthesized through the polyol reduction of Co and Mn acetylacetonates. By controlling synthesis conditions, Co particles with diameters of 7–10 nm and similarly sized Co–Mn (Mn/Co=0.1) particles were prepared. XRD and elemental mapping with scanning TEM‐energy‐dispersive X‐ray spectroscopy and scanning TEM‐electron energy loss spectroscopy studies suggested that most of the Mn species was associated with the Co particles. Ex situ prepared Co and Co–Mn nanoparticles were first supported on silica and then investigated for the catalytic activity for the Fischer–Tropsch synthesis. The turnover frequencies and product distributions obtained with silica‐supported Co and Co–Mn nanoparticles were similar to those obtained with catalysts prepared by using the conventional incipient wetness impregnation method. However, the rate of CO consumption per mass of Co was much lower for the catalysts produced by supporting ex situ prepared nanoparticles. This effect was attributed to the sintering of the nanoparticles during their calcination and reduction. Magnetic interactions among nanoparticles during their immobilization and thermal pretreatment were identified as the primary cause of sintering.
Circularly polarized light opens a gap in the Dirac spectrum of graphene and topological insulator (TI) surfaces, thereby inducing a quantum Hall-like phase. We propose to detect the accompanying edge states and their current by the magnetic field they produce. The topological nature of the edge states is reflected in the mean orbital magnetization of the sample, which shows a universal linear dependence as a function of a generalized chemical potential-independent of the driving details and the properties of the material. The proposed protocol overcomes several typically encountered problems in the realization and measurement of Floquet phases, including the destructive effects of phonons and coupled electron baths and provides a way to occupy the induced edge states selectively. We estimate practical experimental parameters and conclude that the magnetization signature of the Floquet topological phase may be detectable with current techniques.
Abstract Zirconocen ist der Schlüssel : Zur Herstellung einer neuen Klasse hoch Lewis‐saurer Borole wurde eine Synthesemethode auf Grundlage einer Zirconocen‐vermittelten Alkinkupplung entwickelt (siehe Schema). Solche Substanzen sind vielversprechend für eine Anwendung in der Katalyse und im Bereich der organischen Elektronenmangelverbindungen. magnified image
A new method for assessing the similarity of material compositions is described. A similarity measure is important for the classification and clustering of compositions. The similarity of the material compositions is calculated utilizing a data-mined ionic substitutional similarity based upon the probability with which two ions will substitute for each other within the same structure prototype. The method is validated via the prediction of crystal structure prototypes for oxides from the Inorganic Crystal Structure Database, selecting the correct prototype from a list of known prototypes within five guesses 75% of the time. It performs particularly well on the quaternary oxides, selecting the correct prototype from a list of known prototypes on the first guess 65% of the time.
