Lignin-first biorefining of Nordic poplar to produce cellulose fibers could displace cotton production on agricultural lands
A Adler, I Kumaniaev, A Karacic, KR Baddigam… - Joule, 2022 - cell.com
Here, we show that lignin-first biorefining of poplar can enable the production of dissolving
cellulose pulp that can produce regenerated cellulose, which could substitute cotton. These …
cellulose pulp that can produce regenerated cellulose, which could substitute cotton. These …
Microwave mediated production of FAME from waste cooking oil: modelling and optimization of process parameters by RSM and ANN approach
Fatty acid methyl esters (FAME) were synthesized from the waste cooking oil (WCO) by
direct transesterification with methanol. The WCO was pretreated to increase the efficiency …
direct transesterification with methanol. The WCO was pretreated to increase the efficiency …
Artificial neural networks in predicting of the gas molecular diffusion coefficient
X Wang, M Daryapour, A Shahrabadi, S Pirasteh… - … Research and Design, 2023 - Elsevier
The diffusion coefficient is one of the most important parameters for designing two-phase
operations between liquid and gas phases in refineries and petrochemical industries, as …
operations between liquid and gas phases in refineries and petrochemical industries, as …
The optimized operational conditions for biodiesel production from soybean oil and application of artificial neural networks for estimation of the biodiesel yield
GR Moradi, S Dehghani, F Khosravian… - Renewable energy, 2013 - Elsevier
In this study, transesterification of soybean oil to biodiesel using KOH in different process
conditions were studied. The investigated conditions were the molar ratio of methanol/oil …
conditions were studied. The investigated conditions were the molar ratio of methanol/oil …
Artificial neural network as an applicable tool to predict the binary heat capacity of mixtures containing ionic liquids
M Lashkarbolooki, AZ Hezave, S Ayatollahi - Fluid Phase Equilibria, 2012 - Elsevier
Ionic liquids (ILs) are amazing solvents gain an increasingly attention in the different areas
of chemistry and chemical engineering industries during the past decade. Similar to every …
of chemistry and chemical engineering industries during the past decade. Similar to every …
Application of artificial neural networks for estimation of solubility of acid gases (H2S and CO2) in 32 commonly ionic liquid and amine solutions
In the present study, the potential use of a model based on an artificial neural network (ANN)
was investigated to predict the solubility of acid gases (H 2 S and CO 2) in 32 commonly …
was investigated to predict the solubility of acid gases (H 2 S and CO 2) in 32 commonly …
Developing a feed forward multilayer neural network model for prediction of CO2 solubility in blended aqueous amine solutions
Absorption of carbon dioxide (CO 2) in aqueous solutions can be improved by the addition
of other compounds. However, this requires a large amount of equilibrium data for solubility …
of other compounds. However, this requires a large amount of equilibrium data for solubility …
Viscosity prediction of ternary mixtures containing ILs using multi-layer perceptron artificial neural network
M Lashkarblooki, AZ Hezave, AM Al-Ajmi… - Fluid Phase Equilibria, 2012 - Elsevier
Ionic liquids (ILs) have been considered as a good candidate to be replaced by the
conventional solvent in recent years due to their potential consumptions and unique …
conventional solvent in recent years due to their potential consumptions and unique …
Modeling surface tension of pure refrigerants using feed-forward back-propagation neural networks
M Nabipour, P Keshavarz - International journal of refrigeration, 2017 - Elsevier
In this study, a model was proposed to predict the surface tension on the basis of feed-
forward back-propagation network by employing different training algorithms including …
forward back-propagation network by employing different training algorithms including …
Using artificial neural network to predict the ternary electrical conductivity of ionic liquid systems
AZ Hezave, M Lashkarbolooki, S Raeissi - Fluid Phase Equilibria, 2012 - Elsevier
The unique physical properties of ionic liquids play a decisive part in many of their
applications. Therefore, the ability to predict the physical properties of ionic liquids is …
applications. Therefore, the ability to predict the physical properties of ionic liquids is …