Recent progress on advanced solid adsorbents for CO2 capture: from mechanism to machine learning
Environmental pollution has become a serious issue due to the rapid development of
urbanization, industrialization, and vehicle traffic. Notably, fossil fuel combustion significantly …
urbanization, industrialization, and vehicle traffic. Notably, fossil fuel combustion significantly …
Yield prediction and optimization of biomass-based products by multi-machine learning schemes: Neural, regression and function-based techniques
Pyrolysis, as a thermochemical conversion of biomass, is a superior biofuel production
procedure. The determining procedure for the optimal operational parameters, biomass …
procedure. The determining procedure for the optimal operational parameters, biomass …
Modeling the thermal transport properties of hydrogen and its mixtures with greenhouse gas impurities: A data-driven machine learning approach
This study introduces machine learning (ML) algorithms to predict hydrogen (H 2)
thermodynamic properties for geological storage, focusing on its mixtures with natural gas …
thermodynamic properties for geological storage, focusing on its mixtures with natural gas …
A multi-criteria decision-making (MCDM) approach to determine the synthesizing routes of biomass-based carbon electrode material in supercapacitors
The selection of desirable synthesis procedures to achieve the idea of physiochemical and
capacitive properties of activated carbons (ACs) can be carried out by the multi-criteria …
capacitive properties of activated carbons (ACs) can be carried out by the multi-criteria …
Toward sustainable culture media: Using artificial intelligence to optimize reduced-serum formulations for cultivated meat
When considering options for future foods, cell culture approaches are at the fore, however,
culture media to support the process has been identified as a significant contributor to the …
culture media to support the process has been identified as a significant contributor to the …
Hydrogen storage on porous carbon adsorbents: rediscovery by nature-derived algorithms in random forest machine learning model
Porous carbons as solid adsorbent materials possess effective porosity characteristics that
are the most important factors for gas storage. The chemical activating routes facilitate …
are the most important factors for gas storage. The chemical activating routes facilitate …
Modeling and Optimizing N/O-Enriched Bio-Derived Adsorbents for CO2 Capture: Machine Learning and DFT Calculation Approaches
The CO2 emission issue has triggered the promotion of carbon capture and storage (CCS),
particularly bio-route CCS as a sustainable procedure to capture CO2 using biomass-based …
particularly bio-route CCS as a sustainable procedure to capture CO2 using biomass-based …
[HTML][HTML] Experimental analysis of cycle tire pyrolysis oil doped with 1-decanol+ TiO2 additives in compression ignition engine using RSM optimization and machine …
This study investigates the effect of TiO 2 nano additives in conjunction with 1-decanol on
the performance and emission characteristics of biodiesel. The analysis involves four …
the performance and emission characteristics of biodiesel. The analysis involves four …
Spatial-temporal modeling of oil condition monitoring: A review
Y Pan, B Liang, L Yang, H Liu, T Wu, S Wang - Reliability Engineering & …, 2024 - Elsevier
Lubricating oil plays a vital role as the information carrier for equipment tribological
performance. Therefore, oil condition monitoring (OCM) serves as a crucial technology for …
performance. Therefore, oil condition monitoring (OCM) serves as a crucial technology for …
Evaluating wear volume of oligoether esters with an interpretable machine learning approach
H Wang, C Zhang, X Yu, Y Li - Tribology Letters, 2023 - Springer
Wear is a familiar tribological failure in liquid lubrication, especially for low-viscosity base
oils without any additives. Therefore, it is necessary to understand and evaluate the anti …
oils without any additives. Therefore, it is necessary to understand and evaluate the anti …