Machine learning modelling of a membrane capacitive deionization (MCDI) system for prediction of long-term system performance and optimization of process control …
Abstract Membrane Capacitive Deionization (MCDI) is a promising electrochemical
technique for water desalination. Previous studies have confirrmed the effectiveness of …
technique for water desalination. Previous studies have confirrmed the effectiveness of …
Architectures of flower-like MoS2 nanosheet coated N-doped carbon sphere electrode materials for enhanced capacitive deionization
TKA Nguyen, TH Wang, R Doong - Desalination, 2022 - Elsevier
The development of promising nanomaterials for capacitive deionization (CDI) is an
emerging energy-efficient technology for water recovery and purification. Herein, the …
emerging energy-efficient technology for water recovery and purification. Herein, the …
Challenges and opportunities of recovering lithium from seawater, produced water, geothermal brines, and salt lakes using conventional and emerging technologies
Energy storage plays a crucial role in the modern energy landscape, with its applications
spanning from renewable energy integration to the electrification of transportation and …
spanning from renewable energy integration to the electrification of transportation and …
An open-source deep learning model for predicting effluent concentration in capacitive deionization
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 …
ion separation technology, it is necessary to accurately estimate the number of ions removed …
[HTML][HTML] Explainable deep learning model for membrane capacitive deionization operated under fouling conditions
To avoid fouling problems during operation, membrane capacitive deionization (MCDI)
requires proper cleaning processes. In this study, we assessed seven different conditions to …
requires proper cleaning processes. In this study, we assessed seven different conditions to …
Automation of membrane capacitive deionization process using reinforcement learning
Capacitive deionization (CDI) is an alternative desalination technology that uses
electrochemical ion separation. Although several attempts have been made to maximize the …
electrochemical ion separation. Although several attempts have been made to maximize the …
[HTML][HTML] Energy storage capability of seawater batteries for intermittent power generation systems: Conceptualization and modeling
The use of renewable energy for power generation is increasing rapidly. However, residual
electricity supplied in excess of demand is a global concern. To effectively utilize excess …
electricity supplied in excess of demand is a global concern. To effectively utilize excess …
Autonomous real-time control for membrane capacitive deionization
Artificial intelligence has been employed to simulate and optimize the performance of
membrane capacitive deionization (MCDI), an emerging ion separation process. However, a …
membrane capacitive deionization (MCDI), an emerging ion separation process. However, a …
Multimodal deep learning models incorporating the adsorption characteristics of the adsorbent for estimating the permeate flux in dynamic membranes
Dynamic membranes (DMs) can improve the overall efficiency and performance of water-
treatment processes. However, DM modeling studies are limited by the constraint of …
treatment processes. However, DM modeling studies are limited by the constraint of …
Optimization of capacitive deionization electrode features and materials using Artificial intelligence-based modeling
Capacitive deionization (CDI) is an emerging technique for removing dissolved, charged
species from aqueous solutions. It has been previously applied to brackish water and …
species from aqueous solutions. It has been previously applied to brackish water and …