World's most complex microparticle: A synthetic that outdoes nature's intricacy (Update)
U.S. · TECH · SCIENCE
April 9, 20204 min read782 words
Published: April 9, 2020  |  4 min read782 words
April 9, 2020bySynthetic microparticles more intricate than some of the most complicated ones found in nature have been produced by a University of Michigan-led international team. They also investigated how that intricacy arises and devised a way to measure it.The findings pave ...
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CRITIC REVIEWS

Investigative
April 10, 2020
Right off the bat, it should be noted that this piece presumes a good deal of foreknowledge of the subject matter on the part of the reader. Not a bad thing in and of itself, but some might find the topic far too dense for casual reading. While there is an effort made on the part of the authors to place the referenced science in some context, they ultimately fail to do so. The article is written as if the information is being presented in a vacuum. The writing is cold, antiseptic, and unaccessible, especially to the lay reader. Of course, being a bit of a niche scientific write up, this is to be expected. The phenomenon being discussed and described is fascinating and interesting. The work is informative as well, particularly the photography. Regrettably though, as per all of the aforementioned, not something with broad appeal. Nevertheless, a worthwhile read, if you dare.
April 10, 2020
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PUBLIC REVIEWS

Investigative
April 10, 2020
This is a very dense read, and there is sufficient use of jargon to make this a more technical paper; however, coming from a science journal, this is anticipated. The material is interesting, though it left out some key things I would have liked to know: for example, their formula calculation to measure complexity. All in all, worth the time if microparticles are interesting to you, and you have at least a vague understanding of the premises behind them.
April 10, 2020
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Investigative
April 10, 2020
A very interesting and investigative look into complex microparticles and the new mathematical modeling researchers at the University of Michigan have outlined. I'm excited to see how these learnings can be applied to more real-world products and use cases.
April 10, 2020
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