Biomass/Biochar carbon materials for CO2 capture and sequestration by cyclic adsorption processes: A review and prospects for future directions

M Karimi, M Shirzad, JAC Silva, AE Rodrigues - Journal of CO2 Utilization, 2022 - Elsevier
The persistent enhancement of greenhouse gases in the atmosphere originated from
anthropogenic activities, especially CO 2, resulted in several serious global challenges. In …

[HTML][HTML] Electrical efficiency of the photovoltaic/thermal collectors cooled by nanofluids: Machine learning simulation and optimization by evolutionary algorithm

Y Cao, E Kamrani, S Mirzaei, A Khandakar, B Vaferi - Energy Reports, 2022 - Elsevier
Abstract Photovoltaic/thermal (PV/T) are high-tech devices to transform solar radiation into
electrical and thermal energies. Nano-coolants are recently considered to enhance the …

[HTML][HTML] Modeling interfacial tension of the hydrogen-brine system using robust machine learning techniques: Implication for underground hydrogen storage

CSW Ng, H Djema, MN Amar… - international journal of …, 2022 - Elsevier
During the last years, there has been a surge of interest in cleaner ways for producing
energy in order to successfully handle the climate issues caused by the consumption of …

Application of machine learning methods for estimating and comparing the sulfur dioxide absorption capacity of a variety of deep eutectic solvents

X Zhu, M Khosravi, B Vaferi, MN Amar… - Journal of Cleaner …, 2022 - Elsevier
Sulfur dioxide (SO 2) is one of the main atmospheric pollutants and an active threat to
human health. SO2 separation from industrial flue gases improves air quality, decreases …

Simulation the adsorption capacity of polyvinyl alcohol/carboxymethyl cellulose based hydrogels towards methylene blue in aqueous solutions using cascade …

AH Alibak, M Khodarahmi, P Fayyazsanavi… - Journal of Cleaner …, 2022 - Elsevier
Almost all industries produce a large quantity of dye-contaminated wastewater. Wastewaters
containing a high dosage of methylene blue (MB) are a menace for human beings, the …

Carbon dioxide separation and capture by adsorption: a review

M Karimi, M Shirzad, JAC Silva… - Environmental Chemistry …, 2023 - Springer
Rising adverse impact of climate change caused by anthropogenic activities is calling for
advanced methods to reduce carbon dioxide emissions. Here, we review adsorption …

Predicting of Daily PM2.5 Concentration Employing Wavelet Artificial Neural Networks Based on Meteorological Elements in Shanghai, China

Q Guo, Z He, Z Wang - Toxics, 2023 - mdpi.com
Anthropogenic sources of fine particulate matter (PM2. 5) threaten ecosystem security,
human health and sustainable development. The accuracy prediction of daily PM2. 5 …

Hydrogen solubility in aromatic/cyclic compounds: Prediction by different machine learning techniques

Y Jiang, G Zhang, J Wang, B Vaferi - International Journal of Hydrogen …, 2021 - Elsevier
A systematic procedure based on adaptive neuro-fuzzy inference systems (ANFIS), artificial
neural networks, and least-squares support vector machines develop to estimate hydrogen …

Monitoring the effect of surface functionalization on the CO2 capture by graphene oxide/methyl diethanolamine nanofluids

Z Zhou, E Davoudi, B Vaferi - Journal of Environmental Chemical …, 2021 - Elsevier
Different processes exist to capture carbon dioxide (CO 2) and reduce its undesirable effects
on the atmosphere. Stable suspensions of graphene oxide (GO) nanosheets in aqueous …

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 …