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Published in 2020 at "Molecular Informatics"
DOI: 10.1002/minf.201900101
Abstract: Flash points of organic molecules play an important role in preventing flammability hazards and large databases of measured values exist, although millions of compounds remain unmeasured. To rapidly extend existing data to new compounds many…
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Keywords:
graph based;
flash point;
deep learning;
point ... See more keywords
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Published in 2018 at "Analytica chimica acta"
DOI: 10.1016/j.aca.2018.05.015
Abstract: Artificial neural network (ANN) is one of the most widely used methods to develop accurate predictive models based on artificial intelligence and machine learning. In the present study, the important practical aspects of developing a…
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Keywords:
network;
flash point;
study;
number ... See more keywords
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Published in 2017 at "Fluid Phase Equilibria"
DOI: 10.1016/j.fluid.2017.08.019
Abstract: The flash point temperature and the boiling temperature of a mixture are related by the fact that both can be modeled based on vapor-liquid equilibrium (VLE) of each component. It has been suggested in the…
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Keywords:
binary mixtures;
flash point;
minimum maximum;
point ... See more keywords
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Published in 2021 at "Fuel"
DOI: 10.1016/j.fuel.2020.119389
Abstract: Abstract Fuel flash point is important for safe fuel handling. The presence of smaller, low flash point hydrocarbons (8 carbons atoms) found in fuel lowers its flashpoint. This work involved measuring the flash points of…
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Keywords:
flash;
flash point;
flash points;
dodecane ... See more keywords
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Published in 2021 at "Fuel"
DOI: 10.1016/j.fuel.2021.121723
Abstract: Abstract As interest in biofuel blends has grown through the years, especially in terms of jet fuel blend development, it has become more and more important to be aware of their physical chemical properties. One…
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Keywords:
ethanol;
point measurement;
prediction;
dodecane ... See more keywords
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Published in 2019 at "Thermochimica Acta"
DOI: 10.1016/j.tca.2018.11.012
Abstract: Abstract In this study, new models based on quantitative structure–property relationship (QSPR) have been developed to estimate the flash point of multi-component mixtures. For the model development, a large data set including 921 experimental data…
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Keywords:
multi component;
structure;
point;
point multi ... See more keywords
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Published in 2020 at "Thermochimica Acta"
DOI: 10.1016/j.tca.2020.178719
Abstract: Abstract In this study, a vapor pressure-based model is applied to predict the flash points of binary partially miscible aqueous-organic mixtures including 1-butanol-water, 2-butanol-water, isobutanol-water, and 1-pentanol-water. The high non-ideality of these systems is taken…
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Keywords:
partially miscible;
water;
flash point;
cubic plus ... See more keywords
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Published in 2018 at "Energy & Fuels"
DOI: 10.1021/acs.energyfuels.8b01295
Abstract: In the present study, hierarchical cluster analysis was used to select 150 S500 diesel fuel samples from an initial set of 1320 samples assayed through official standards according to ANP Brazilian Regulation No. 50/2013. Four…
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Keywords:
point cetane;
s500 diesel;
flash point;
distillation temperatures ... See more keywords
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Published in 2020 at "International Journal of Wildland Fire"
DOI: 10.1071/wf19086
Abstract: Wildfires in the Valparaiso region (Chile) account for one of the main threats to local biodiversity, ecosystem services and infrastructure. This study focused on producing an initial record of thermo- and physicochemical properties of local…
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Keywords:
native exotic;
forest species;
flash point;
physicochemical properties ... See more keywords
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Published in 2017 at "Petroleum Science and Technology"
DOI: 10.1080/10916466.2017.1371744
Abstract: ABSTRACT The authors' aim is to evaluate the statistical compatibility in the flash point by Pensky-Martens closed cup tester of diesel fuel. As the data set has non-normal behavior, Friedman's test is used. There is…
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Keywords:
flash point;
martens closed;
statistical compatibility;
pensky martens ... See more keywords