A comprehensive review on recent trends in carbon capture, utilization, and storage techniques
This review highlights the latest trends in carbon capture, utilization, and storage techniques.
The recent advances in the current carbon capture techniques, ie, post-combustion carbon …
The recent advances in the current carbon capture techniques, ie, post-combustion carbon …
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 …
Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and …
The utilization of carbon capture utilization and storage (CCUS) in unconventional
formations is a promising way for improving hydrocarbon production and combating climate …
formations is a promising way for improving hydrocarbon production and combating climate …
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 …
Enhancing carbon sequestration: innovative models for wettability dynamics in CO2-brine-mineral systems
This study investigates the application of machine learning techniques—specifically
convolutional neural networks, multilayer perceptrons and cascaded forward neural …
convolutional neural networks, multilayer perceptrons and cascaded forward neural …
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 …
Machine learning prediction of the yield and bet area of activated carbon quantitatively relating to biomass compositions and operating conditions
C Wang, W Jiang, G Jiang, T Zhang, K He… - Industrial & …, 2023 - ACS Publications
Although activated carbon's yield (quantity index) and BET area (quality index) are crucial to
its application, the two indexes must be accurately predicted. Herein, biomass compositions …
its application, the two indexes must be accurately predicted. Herein, biomass compositions …
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 …