[HTML][HTML] Estimating the density of deep eutectic solvents applying supervised machine learning techniques

M Abdollahzadeh, M Khosravi… - Scientific Reports, 2022 - nature.com
Deep eutectic solvents (DES) are recently synthesized to cover limitations of conventional
solvents. These green solvents have wide ranges of potential usages in real-life …

[HTML][HTML] Surface tension models for binary aqueous solutions: a review and intercomparison

J Kleinheins, N Shardt, M El Haber… - Physical Chemistry …, 2023 - pubs.rsc.org
The liquid–air surface tension of aqueous solutions is a fundamental quantity in multi-phase
thermodynamics and fluid dynamics and thus relevant in many scientific and engineering …

[HTML][HTML] Estimating the relative crystallinity of biodegradable polylactic acid and polyglycolide polymer composites by machine learning methodologies

J Wang, MA Ayari, A Khandakar, MEH Chowdhury… - Polymers, 2022 - mdpi.com
Biodegradable polymers have recently found significant applications in pharmaceutics
processing and drug release/delivery. Composites based on poly (L-lactic acid)(PLLA) have …

Intelligent modeling for considering the effect of bio-source type and appearance shape on the biomass heat capacity

M Karimi, AH Alibak, SMS Alizadeh, M Sharif, B Vaferi - Measurement, 2022 - Elsevier
Biomass has attracted significant interest as a renewable energy source recently. This study
employs different artificial intelligence (AI) scenarios to determine biomass heat capacity …

Potential application of metal-organic frameworks (MOFs) for hydrogen storage: Simulation by artificial intelligent techniques

Y Cao, HA Dhahad, SG Zare, N Farouk, AE Anqi… - International Journal of …, 2021 - Elsevier
Metal-organic frameworks are a new class of materials for hydrogen adsorption/storage
applications. The hydrogen storage capacity of this structure is typically related to pressure …

[HTML][HTML] Combined septum and chamfer fins on threated stretching surface under the influence of nanofluid and the magnetic parameters for rotary seals in computer …

P Shadman, Z Parhizi, R Fathollahi, M Zarinfar… - Alexandria Engineering …, 2023 - Elsevier
In this paper, variation of temperature and velocity in the x-direction and the angular velocity
of the nanofluids flow through triangular and rectangular and chamfer fins are investigated in …

[HTML][HTML] A modeling approach for estimating hydrogen sulfide solubility in fifteen different imidazole-based ionic liquids

J Abdi, M Hadipoor, SH Esmaeili-Faraj, B Vaferi - Scientific Reports, 2022 - nature.com
Absorption has always been an attractive process for removing hydrogen sulfide (H2S).
Posing unique properties and promising removal capacity, ionic liquids (ILs) are potential …

Developing a global approach for determining the molar heat capacity of deep eutectic solvents

A Bagherzadeh, N Shahini, D Saber, P Yousefi… - Measurement, 2022 - Elsevier
Deep eutectic solvents (DES) are a new class of green solvents. Reliable characterization of
DESs is a prerequisite for their successful applications. The molar heat capacity (Cp) is likely …

[HTML][HTML] A new fault diagnosis method for unbalanced data based on 1DCNN and L2-SVM

B Hu, J Liu, R Zhao, Y Xu, T Huo - Applied Sciences, 2022 - mdpi.com
In general, the measured health condition data from rolling bearings usually exhibit
imbalanced distribution. However, traditional intelligent fault diagnosis methods usually …

Joint incremental learning network for flexible modeling of carbon dioxide solubility in aqueous mixtures of amines

YD Hsiao, CT Chang - Separation and Purification Technology, 2024 - Elsevier
Vapor-liquid equilibrium (VLE) modeling is one of the most essential tasks for rigorous
estimations of thermodynamic properties in chemical process design and analysis. To …