Design of three-dimensional faradic electrode materials for high-performance capacitive deionization

H Wang, X Xu, X Gao, Y Li, T Lu, L Pan - Coordination Chemistry Reviews, 2024 - Elsevier
To address the water scarcity issue, capacitive deionization (CDI) as a burgeoning
desalination technology for removing different ions from sea and wastewater have been …

Machine learning approaches to predict the photocatalytic performance of bismuth ferrite-based materials in the removal of malachite green

ZH Jaffari, A Abbas, SM Lam, S Park, K Chon… - Journal of hazardous …, 2023 - Elsevier
This study focuses on the potential capability of numerous machine learning models, namely
CatBoost, GradientBoosting, HistGradientBoosting, ExtraTrees, XGBoost, DecisionTree …

Advancement of capacitive deionization propelled by machine learning approach

H Wang, Y Li, Y Liu, X Xu, T Lu, L Pan - Separation and Purification …, 2024 - Elsevier
The gradual deterioration of ecosystems and the exponential growth of the population have
led to severe freshwater scarcity. Fetching available freshwater from seawater is expected to …

An open-source deep learning model for predicting effluent concentration in capacitive deionization

M Son, N Yoon, S Park, A Abbas, KH Cho - Science of The Total …, 2023 - Elsevier
To effectively evaluate the performance of capacitive deionization (CDI), an electrochemical
ion separation technology, it is necessary to accurately estimate the number of ions removed …

Empowering capacitive devices: harnessing transfer learning for enhanced data-driven optimization

T Olayiwola, R Kumar… - Industrial & Engineering …, 2024 - ACS Publications
Developing data-driven models has found successful applications in engineering tasks,
such as material design, process modeling, and process monitoring. In capacitive devices …

Optimal management strategy for salt adsorption capacity in machine learning-based flow-electrode capacitive deionization process

SI Yu, J Jeon, YU Shin, H Bae - ACS ES&T Engineering, 2024 - ACS Publications
Flow-electrode capacitive deionization (FCDI) has created a breakthrough toward a more
stable desalination performance by adopting a flow-electrode compared to existing …

Modeling based on machine learning to investigate flue gas desulfurization performance by calcium silicate absorbent in a sand bed reactor

K Naderi, MS Kalami Yazdi, H Jafarabadi… - Scientific Reports, 2024 - nature.com
Flue gas desulfurization (FGD) is a critical process for reducing sulfur dioxide (SO2)
emissions from industrial sources, particularly power plants. This research uses calcium …

Exploring nutrient removal mechanisms in column-type SBR with simultaneous nitrification and denitrification

NA Khan, S Singh, PC Ramamurthy… - Journal of Environmental …, 2024 - Elsevier
A comprehensive investigation utilized a column-type sequencing batch reactor (SBR) to
efficiently remove nutrients throughout various phases of its operational cycle by forming …

Development of aggregated random intelligent approach for the modeling of desalination processes

A Mahdavi-Meymand, W Sulisz - Desalination, 2023 - Elsevier
The boiling point rise (BPR) is a critical parameter in the operation and optimal design of a
multi-stage flash desalination system. Accurate prediction of BPR would increase the …

Modeling and optimization of Graphene Oxide (GO) membranes for nanofiltration with artificial neural networks

H Yang, Z Chen, Y Li, L Yao, G Wang, Q Deng… - Journal of Water …, 2023 - Elsevier
It is important to understand the correlation between the nanostructure and membrane
performances (water flux and rejection) in membrane separation technology, which is …