QSPR modeling of azeotropic temperatures and compositions for binary azeotropes containing lower alcohols using a genetic function approximation
Sign Up to like & getrecommendations! Published in 2019 at "Chinese Journal of Chemical Engineering"
DOI: 10.1016/j.cjche.2018.06.031
Abstract: Abstract Binary azeotropes, which contain two chemicals with a relative volatility of 1, are very common in the chemical industry. Understanding azeotropes is essential for effectively separating binary azeotropes containing lower alcohols. Experimental techniques and… read more here.
Keywords: containing lower; qspr; azeotropes containing; lower alcohols ... See more keywords
Prediction of Combined Sorbent and Catalyst Materials for SE-SMR, Using QSPR and Multitask Learning
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DOI: 10.1021/acs.iecr.2c00971
Abstract: The process of sorption enhanced steam methane reforming (SE-SMR) is an emerging technology for the production of low carbon hydrogen. The development of a suitable catalytic material, as well as a CO2 adsorbent with high… read more here.
Keywords: sorbent catalyst; qspr; multitask learning; combined sorbent ... See more keywords
Topological Indices of Novel Drugs Used in Autoimmune Disease Vitiligo Treatment and Its QSPR Modeling
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DOI: 10.1155/2022/6045066
Abstract: A topological index is a real number derived from the structure of a chemical graph. It is helpful to determine the physicochemical and biological properties of a wide range of drugs, and it better reflects… read more here.
Keywords: qspr; indices novel; novel drugs; drugs used ... See more keywords