Machine-learning-based predictions of polymer and postconsumer recycled polymer properties: a comprehensive review
There has been a tremendous increase in demand for virgin and postconsumer recycled
(PCR) polymers due to their wide range of chemical and physical characteristics. Despite …
(PCR) polymers due to their wide range of chemical and physical characteristics. Despite …
Recent application developments of water-soluble synthetic polymers
In the history of man-made macromolecules, water-soluble polymers have primarily
maintained passive roles; examples include the uses of water-soluble polymers for viscosity …
maintained passive roles; examples include the uses of water-soluble polymers for viscosity …
Synthesizes, characterization, measurements and modeling thermal conductivity and viscosity of graphene quantum dots nanofluids
F Sedaghat, F Yousefi - Journal of Molecular Liquids, 2019 - Elsevier
The present study is aimed to measure the thermophysical properties of graphene quantum
dots (GQDs) nanoparticles that dispersed in water, ethylene glycol and water-ethylene …
dots (GQDs) nanoparticles that dispersed in water, ethylene glycol and water-ethylene …
Machine learning model and input batch management tool for the composition of new recycled polypropylene plastic material with reduced variability in target …
R Teruel, N Alcalá, C Crespo, M Laspalas - Journal of Cleaner Production, 2024 - Elsevier
Reducing the variability of recycled plastic materials is a prerequisite to encourage the safe
substitution of virgin materials in new components manufacturing, hence promoting the …
substitution of virgin materials in new components manufacturing, hence promoting the …
Thermal conductivity and structuring of multiwalled carbon nanotubes based nanofluids
M Moghaddari, F Yousefi, S Aparicio… - Journal of Molecular …, 2020 - Elsevier
Abstract the thermal conductivity of OH functionalized multiwalled carbon nanotube and its
composites with Ag, Au and Pd in water, ethylene glycol and ethylene glycol-water (60: 40 …
composites with Ag, Au and Pd in water, ethylene glycol and ethylene glycol-water (60: 40 …
[HTML][HTML] A simple approach for the sonochemical loading of Au, Ag and Pd nanoparticle on functionalized MWCNT and subsequent dispersion studies for removal of …
M Moghaddari, F Yousefi, M Ghaedi… - Ultrasonics sonochemistry, 2018 - Elsevier
In this study, the artificial neural network (ANN) and response surface methodology (RSM)
based on central composite design (CCD) were applied for modeling and optimization of the …
based on central composite design (CCD) were applied for modeling and optimization of the …
Modeling the viscosity of ionic liquids using combined friction theory with perturbed hard-chain equation of state and neural network approaches
H Moslehi, SM Hosseini, M Pierantozzi… - Journal of Molecular …, 2023 - Elsevier
Fast and accurate prediction and correlation of thermophysical properties are always
important concerns for researchers and engineers. This work is the extension of our earlier …
important concerns for researchers and engineers. This work is the extension of our earlier …
Density and viscosity modeling of liquid adipates using neural network approaches
M Pierantozzi, SM Hosseini - Journal of Molecular Liquids, 2024 - Elsevier
Liquid Dialkylesters of adipic acid (adipates) have achieved prominence as alternative
green solvents due to their special properties. To enhance their utilization, accurate …
green solvents due to their special properties. To enhance their utilization, accurate …
NNEoS: Neural network-based thermodynamically consistent equation of state for fast and accurate flash calculations
Equations of state (EOS) correlate thermodynamic properties and are essential for flash
calculations. However, solving for an EOS can be time-consuming, and EOS do not …
calculations. However, solving for an EOS can be time-consuming, and EOS do not …
State‐of‐the‐Art Review on the Applications of Nonlinear and Artificial Intelligence‐Based Controllers in Petrochemical Processes
TS Ansari, SAA Taqvi - ChemBioEng Reviews, 2023 - Wiley Online Library
Petrochemical industries are facing severe challenges in controlling nonlinear processes
which are to be analyzed and monitored to develop efficient control models for improved …
which are to be analyzed and monitored to develop efficient control models for improved …