Synthesis and characterization of iron oxide/functionalized graphene oxide nanocomposites for highly efficient DNA isolation
In this research, Fe 3 O 4 nanoparticles/graphene oxide (Fe 3 O 4/GO) and Fe 3 O
4/polypyrrole/graphene oxide (Fe 3 O 4/PPy/GO) magnetic nanocomposites were fabricated …
4/polypyrrole/graphene oxide (Fe 3 O 4/PPy/GO) magnetic nanocomposites were fabricated …
A simple method for prediction of density of ionic liquids through their molecular structure
MH Keshavarz, HR Pouretedal, E Saberi - Journal of Molecular Liquids, 2016 - Elsevier
This paper introduces a reliable simple method to estimate density of a wide range of
different types of ionic liquids. This method is based on two novel correlations in which the …
different types of ionic liquids. This method is based on two novel correlations in which the …
The prediction of liquid-liquid equilibria for benzene/alkane/ionic liquids mixtures using intelligent models
F Shaahmadi, MA Anbaz - Journal of Molecular Liquids, 2017 - Elsevier
Liquid-liquid extraction of aromatics from aliphatic hydrocarbons is a main process in
petrochemical industry. Therefore, accurate predicting the liquid-liquid equilibria (LLE) for …
petrochemical industry. Therefore, accurate predicting the liquid-liquid equilibria (LLE) for …
The analysis of liquid–liquid equilibria (LLE) of toluene+ heptane+ ionic liquid ternary mixture using intelligent models
F Shaahmadi, MA Anbaz, B Bazooyar - Chemical Engineering Research …, 2018 - Elsevier
This paper is to verify the applicability of three intelligence methods including artificial neural
network (ANN), support vector machine (SVM) and least square support vector machine …
network (ANN), support vector machine (SVM) and least square support vector machine …
The development of intelligent models for liquid–liquid equilibria (LLE) phase behavior of thiophene/alkane/ionic liquid ternary system
F Sarlak, T Pirhoushyaran, F Shaahmadi… - Separation Science …, 2018 - Taylor & Francis
This paper develops three models based on artificial neural network (ANN), support vector
machine (SVM) and least square support vector machine (LSSVM) algorithm for phase …
machine (SVM) and least square support vector machine (LSSVM) algorithm for phase …
Prediction of liquid–liquid equilibrium behavior for aliphatic+ aromatic+ ionic liquid using two different neural network-based models
M Hakim, G Behmardikalantari, HA Najafabadi… - Fluid Phase …, 2015 - Elsevier
In this study, the liquid–liquid phase behavior of aromatic compound+ aliphatic compound+
ionic liquid (IL) ternary systems was estimated by using two artificial neural networks (ANN) …
ionic liquid (IL) ternary systems was estimated by using two artificial neural networks (ANN) …
Modeling of drug released from acyclovir nanoparticles based on artificial neural networks
S Shahsavari, E Vasheghani-Farahani… - Letters in Drug …, 2014 - ingentaconnect.com
Formulation of controlled release acyclovir loaded chitosan nanoparticles was optimized
based on the optimization technique using response surface method (RSM) and artificial …
based on the optimization technique using response surface method (RSM) and artificial …
Modeling of synergetic effect of LIX 984N and D2EHPA on separation of iron and zinc using artificial neural network
H Kamran Haghighi, D Moradkhani… - Transactions of the Indian …, 2014 - Springer
Artificial neural network was used to predict the synergetic effect of LIX 984N and D2EHPA
on separation of iron from zinc solution. The aim was to predict iron and zinc extraction as a …
on separation of iron from zinc solution. The aim was to predict iron and zinc extraction as a …
Influence of salt concentration on solubility and tie-line data for the system: Formic acid+ n-butanol+ water
The tie-line and solubility data, ie. formic acid (FA)+ n-butanol+ water+ NaCl, were resolved
at T= 298.15 K and under ambient pressure. The Othmer–Tobias equation was applied in …
at T= 298.15 K and under ambient pressure. The Othmer–Tobias equation was applied in …
Measurement and mathematical modelling of nutrient level and water quality parameters
MK Alasl, M Khosravi, M Hosseini… - Water Science and …, 2012 - iwaponline.com
Physico-chemical water quality parameters and nutrient levels such as water temperature,
turbidity, saturated oxygen, dissolved oxygen, pH, chlorophyll-a, salinity, conductivity, total …
turbidity, saturated oxygen, dissolved oxygen, pH, chlorophyll-a, salinity, conductivity, total …