Items where Author is "Keshavarz, M. K."
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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Author
Vasilevskiy, D., Keshavarz, M. K., Simard, J.-M., Masut, R. A., Turenne, S., & Snyder, G. J. (2018). Assessing the thermal conductivity of Cu2xSe alloys undergoing a phase transition via the simultaneous measurement of thermoelectric parameters by a Harman-based setup. Journal of Electronic Materials, 47(6), 3314-3319. External link
Bercegol, A., Christophe, V., Keshavarz, M. K., Vasilevskiy, D., Turenne, S., & Masut, R. A. (2016). Hot extruded polycrystalline Mg₂Si with embedded XS₂ nano-particles (X: Mo, W). Journal of Electronic Materials, 46(5), 2668-2675. External link
Fattah-alhosseini, A., Keshavarz, M. K., Masomi, A., & Marianaji, S. (2015). Semiconducting behavior of pure copper in alkaline solutions. Egyptian Journal of Petroleum, 24(4), 405-409. Available