A perspective on data-driven screening and discovery of polymer membranes for gas separation, from the molecular structure to the industrial performance
E Ricci, MG De Angelis - Reviews in Chemical Engineering, 2024 - degruyter.com
In the portfolio of technologies available for net zero-enabling solutions, such as carbon
capture and low-carbon production of hydrogen, membrane-based gas separation is a …
capture and low-carbon production of hydrogen, membrane-based gas separation is a …
Hybrid ANFIS-PSO algorithm for estimation of the characteristics of porous vacuum preloaded air bearings and comparison performance of the intelligent algorithm …
Air bearings are commonly used in systems requiring high precision, including
semiconductor manufacturing, optical and electronic devices, and aerospace systems, and …
semiconductor manufacturing, optical and electronic devices, and aerospace systems, and …
Prediction of hydrogen generation from perhydro-dibenzyltoluene empowered with machine learning
Abstract The perhydro-dibenzyltoluene (H18-DBT) exhibits promising potential as a viable
option for hydrogen production purposes. There are several important features for hydrogen …
option for hydrogen production purposes. There are several important features for hydrogen …
Coal fly ash-derived Fe-ZSM-5 nano-zeolite for adsorption of mono-aromatics in aqueous media; hybrid meta-heuristic neuro-fuzzy modeling
SMH Asl, C Belviso, M Masomi, M Tajbakhsh - … and Mesoporous Materials, 2024 - Elsevier
In this work, a waste material (coal fly ash) containing a large amount of muscovite was used
to synthesize a mesoporous Fe-ZSM-5 nano-zeolite by hydrothermal approach. Batch scale …
to synthesize a mesoporous Fe-ZSM-5 nano-zeolite by hydrothermal approach. Batch scale …
Comparison of hybrid RNA-based models to predict the degradation and mineralization of the microcontaminant hormone 17β-estradiol
TSA Chagas, AMG Dos Santos, MS de Jesus… - Chemosphere, 2024 - Elsevier
New alternatives for effluent decontamination, such as electrochemical oxidation, are being
developed to provide adequate removal of endocrine disruptors such as 17β-estradiol in …
developed to provide adequate removal of endocrine disruptors such as 17β-estradiol in …
[HTML][HTML] Supervised Machine Learning-Based Prediction of Hydrogen Storage Classes Utilizing Dibenzyltoluene as an Organic Carrier
Dibenzyltoluene (H0-DBT), a Liquid Organic Hydrogen Carrier (LOHC), presents an
attractive solution for hydrogen storage due to its enhanced safety and ability to store …
attractive solution for hydrogen storage due to its enhanced safety and ability to store …
[HTML][HTML] Land subsidence susceptibility mapping based on InSAR and a hybrid machine learning approach
Land subsidence (LS) due to natural processes or human activity can irreparably damage
the environment. This study employed the quasi-permanent scatterer method to detect areas …
the environment. This study employed the quasi-permanent scatterer method to detect areas …
Thermo-physical properties estimation of an oil-based hybrid nanofluid: application of a new hybrid neurocomputing approach
Accurate estimation of thermophysical properties of hybrid nanofluids, such as thermal
conductivity (THC), viscosity, and heat transfer performance (HTP), is crucial in energy …
conductivity (THC), viscosity, and heat transfer performance (HTP), is crucial in energy …
A Semi-Supervised Machine Learning Framework for Predicting Hydrogen Storage Capacities in Metal Hydrides
S Bhattacharjee, P Das, S Ram, SC Lee - arXiv preprint arXiv:2401.17587, 2024 - arxiv.org
In this study, we propose a semi-supervised machine learning approach to address the
challenges of limited data availability and high feature dimensionality in predicting hydrogen …
challenges of limited data availability and high feature dimensionality in predicting hydrogen …
[PDF][PDF] The Egyptian Journal of Remote Sensing and Space Sciences
AA Alesheikh, Z Chatrsimab, F Rezaie… - The Egyptian Journal …, 2024 - researchgate.net
Land subsidence (LS) due to natural processes or human activity can irreparably damage
the environment. This study employed the quasi-permanent scatterer method to detect areas …
the environment. This study employed the quasi-permanent scatterer method to detect areas …