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Prediction of nanoparticle transport behavior from physicochemical properties: machine learning provides insights to guide the next generation of transport models1. Issue 4 (30th August 2015)
Record Type:
Journal Article
Title:
Prediction of nanoparticle transport behavior from physicochemical properties: machine learning provides insights to guide the next generation of transport models1. Issue 4 (30th August 2015)
Main Title:
Prediction of nanoparticle transport behavior from physicochemical properties: machine learning provides insights to guide the next generation of transport models1
<abstract abstract-type="toc"> <title> <x xml:space="preserve">Abstract</x> </title> <p> <graphic position="anchor" id="ga" xlink:href="ark:/27927/pgj2df276s9" xlink:type="simple" xmlns:xlink="http://www.w3.org/1999/xlink" />Machine-learning methods are used to identify factors that govern transport of nanoparticles in column experiments.</p> </abstract>