1,721,076 research outputs found
AI3SD video: harnessing advanced algorithms to enable the automated optimisation of telescoped chemical reactions; performance directed self-optimisation of bimetallic nanoparticle catalysts
No full textThe catalytic performance of nanoparticles is dependent on an extensive number of properties, reactions conditions and combinations thereof; however, very few methods employing multivariate closed-loop optimisation of nanoparticle catalysts have been reported to date. Here we demonstrate a machine learning-driven reactor platform for the performance directed synthesis of nanoparticle catalysts. Our experimental strategy uses an automated two-stage continuous flow reactor with decoupled residence times, allowing the precise synthesis of gold-silver nanoparticles (AuAgNP) with variable metal compositions, and subsequent performance analysis using a 4-nitrophenol reduction reaction. Quantification of the reaction conversion using inline UV-Vis spectroscopy enables the direct observation of the catalyst performance in real time, providing an efficient response for the performance directed synthesis of the most catalytically active nanoparticles. This approach paves the way for the rapid synthesis and optimisation of new nanoparticle catalysts, thereby streamlining the development of sustainable chemical processes. In terms of algorithm development, as many real-world optimisation problems consist of multiple conflicting objectives and constraints which can be composed of both continuous and discrete variables, we are addressing a significant issue. Given the inherent nature of continuous variables, i.e. they have a real value in the desired optimisation range of the variable, they are often easier to explore with a wider array of applicable optimisation techniques. Discrete variables, however, can take the form of integer values or categorical values (materials, reaction solvents). In many cases these optimisations can be expensive to evaluate in terms of time or monetary resources. It is therefore necessary to utilise algorithms that can efficiently guide the search towards the optimum set of conditions for a given problem to reduce costs. He will harness a mixed variable multi-objective Bayesian optimisation algorithm to tackle the problem of simultaneously exploring continuous and discrete variable in the same optimisation, which if successful with represent a step change in this AI field
AI3SD Intern Project: Autonomous optimisation of telescoped bimetallic nanoparticle synthesis and use as the catalyst in reduction reactions.
No full textThis year 15 interns join us for a 10 week programme between 28th June and 25th September 2021. The projects they are working on are interdisciplinary and include both cutting-edge AI and cutting-edge chemical discovery and demonstrate how and why they are relevant to AI3SD. The projects must be able to demonstrate valuable outputs both with respect to developing student skill and providing impact to AI3SD.The Interns will be required to produce a poster for the AI3SD Summer Project Symposia 1st – 2nd September 2021, and they will take part in our Skills4Scientists programme that will run weekly across July and August whereby the interns will be given training in a range of research, technical and interpersonal skills, alongside informative career-based events
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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