Design of three-dimensional faradic electrode materials for high-performance capacitive deionization
To address the water scarcity issue, capacitive deionization (CDI) as a burgeoning
desalination technology for removing different ions from sea and wastewater have been …
desalination technology for removing different ions from sea and wastewater have been …
Extreme Ion‐Transport Inorganic 2D Membranes for Nanofluidic Applications
Inorganic 2D materials offer a new approach to controlling mass diffusion at the nanoscale.
Controlling ion transport in nanofluidics is key to energy conversion, energy storage, water …
Controlling ion transport in nanofluidics is key to energy conversion, energy storage, water …
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 …
A review on state-of-the-art applications of data-driven methods in desalination systems
The substitution of conventional mathematical models with fast and accurate modeling tools
can result in the further development of desalination technologies and tackling the need for …
can result in the further development of desalination technologies and tackling the need for …
Capacitive deionization for water desalination: Cost analysis, recent advances, and process optimization
Capacitive deionization (CDI) is a promising and developing electrochemical technology
utilized to desalinate salt water and produce fresh water. Multiple technologies, such as …
utilized to desalinate salt water and produce fresh water. Multiple technologies, such as …
Advancement of capacitive deionization propelled by machine learning approach
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 …
led to severe freshwater scarcity. Fetching available freshwater from seawater is expected to …
Optimal management strategy for salt adsorption capacity in machine learning-based flow-electrode capacitive deionization process
Flow-electrode capacitive deionization (FCDI) has created a breakthrough toward a more
stable desalination performance by adopting a flow-electrode compared to existing …
stable desalination performance by adopting a flow-electrode compared to existing …
Bibliometric and sentiment analysis with machine learning on the scientific contribution of Professor Srinivasa Sourirajan
Abstract Prof. Srinivasa Sourirajan is remembered by the desalination and membrane
community as the “Father of Reverse Osmosis”. He passed away at the age of 98 peacefully …
community as the “Father of Reverse Osmosis”. He passed away at the age of 98 peacefully …
Ensemble machine learning reveals key structural and operational features governing ion selectivity of polyamide nanofiltration membranes
D Lu, X Ma, J Lu, Y Qian, Y Geng, J Wang, Z Yao… - Desalination, 2023 - Elsevier
Diversified ion-selective separation applications have dramatically incentivized the
exploitation and performance modulation of highly ion-selective nanofiltration (NF) …
exploitation and performance modulation of highly ion-selective nanofiltration (NF) …
A hybrid machine LEARNING-CFD method for the innovative analysis of Al2O3 nanoparticle deposition in shell-and-tubes heat exchangers
SH Godasiaei, P Talebizadehsardari - Thermal Science and Engineering …, 2024 - Elsevier
This study examines the intricate dynamics surrounding the deposition of Al 2 O 3
nanoparticles within a heat exchanger, with the aim of optimizing heat transfer efficiency and …
nanoparticles within a heat exchanger, with the aim of optimizing heat transfer efficiency and …