Insights on the rate performance of polyaniline supercapacitors by integrated mathematical modeling and machine learning

Elham Rahmanian, Rasoul Malekfar and Ali Sajedi-Moghaddam

J. Mater. Chem. A, 2024, 12, 32318
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A data-driven machine learning approach for interpretable prediction of desalination stability of carbon materials for capacitive deionization

Hao Wang, Yue Zhu, Kun Han, Chenglong Wang, Junfeng Li, Yuquan Li, Yong Liu, Guang Yang and Likun Pan

J. Mater. Chem. A, 2025, 13, 32427
DOI: 10.1039/D5TA04312C

Molecular insights into capacitive deionization mechanisms inside hydrophobic and hydrophilic carbon nanotube channel electrodes

Farzin Saffarimiandoab, Roozbeh Sabetvand and Xihui Zhang

J. Mater. Chem. A, 2022, 10, 23332
DOI: 10.1039/D2TA06006J

Heavy metal removal performance of capacitive deionization technology studied by machine learning

Xiao-min Dian, Jia-yuan Hao, Zheng-ao Zhang, Zhe Chen and Lei Yao

Eng. Res. Express, 2024, 6, 035002
DOI: 10.1088/2631-8695/ad612c

A hybrid machine learning-CFD method for the innovative analysis of Al2O3 nanoparticle deposition in shell-and-tubes heat exchangers

Seyed Hamed Godasiaei and Pouyan Talebizadehsardari

Thermal Science and Engineering Progress, 2024, 54, 102807
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Insights on CDI parametric controls and dependencies using gloabal sensitivity analysis

Huai Qin, Fang Fang, Yunfeng Mao, Longqian Xu and Deli Wu

Separation and Purification Technology, 2025, 354, 129424
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Progress and perspective of machine learning in capacitive deionization

Jie Ma, Cong Guo, Xuean Cheng, Liangbin Zhou and Fei Yu

Separation and Purification Technology, 2026, 387, 136674
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Water jet angle prediction in supersonic crossflows: Euler–Lagrange and machine learning approaches

Seyed Hamed Godasiaei and Hosseinali Kamali

Eur. Phys. J. Plus, 2024, 139
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A review on capacitive deionization: Recent advances in Prussian blue analogues and carbon materials based electrodes

Hammad Younes, Ding Lou, Mingyang Mao, Md Mahfuzur Rahman, Maryam AlNahyan, Hassan Younis, Haiping Hong and Moni K. Datta

Hybrid Advances, 2024, 6, 100191
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Engineering sustainable porous carbon electrodes for practical-level capacitive deionization desalination

Mingxing Shi, Huijuan Jia, Jiahui Liu, Ming Gao, Chen Wang, Fengyun Wang, Mingzhu Xia, Wei Jin and Guolin Tong

Coordination Chemistry Reviews, 2025, 543, 216949
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Membrane capacitive deionization model including fouling indexes obtained via real-time fouling layer measurements

Nakyung Yoon, Sanghun Park, Jaegyu Shim, Jongbin Lee, Moon Son and Kyung Hwa Cho

Desalination, 2022, 536, 115852
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Sustainable lectrochemical rocesses-ontrolled xtraction of aluable etal ons from iquid etal ines

Wanpei Sun, Jiahao Tang, Qi Dang, You Li and Liang Tang

Journal of Water Process Engineering, 2025, 69, 106632
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Machine Learning‐Guided Prediction of Desalination Capacity and Rate of Porous Carbons for Capacitive Deionization

Hao Wang, Mingxi Jiang, Guangsheng Xu, Chenglong Wang, Xingtao Xu, Yong Liu, Yuquan Li, Ting Lu, Guang Yang and Likun Pan

Small, 2024, 20
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Reconciling the Role of Pore Structure in Capacitive Deionization: From Molecular Insights to Real-Scale Machine Learning Modeling

Farzin Saffarimiandoab, Shengyin Tang, Yulong Yang, Mohammad Hossein Sarrafzadeh, Ercan Engin Kuruoglu and Xihui Zhang

ACS Electrochem., 2025, 1, 1666
DOI: 10.1021/acselectrochem.5c00126

Advanced electrode materials in capacitive deionization for efficient lithium extraction

Zeqiu Chen, Limiao Cai, Jie Guan, Zhanyang Li, Hao Wang, Yaoguang Guo, Xingtao Xu and Likun Pan

Acta Physico-Chimica Sinica, 2025, 41, 100089
DOI: 10.1016/j.actphy.2025.100089

A data-driven machine learning approach to predict desalination capacities of faradic materials for capacitive deionization

Hao Wang, Chenglong Wang, Junfeng Li, Yuquan Li, Yong Liu, Zeqiu Chen, Xinjuan Liu, Guang Yang and Likun Pan

Separation and Purification Technology, 2025, 376, 134181
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Machine learning modelling of a membrane capacitive deionization (MCDI) system for prediction of long-term system performance and optimization of process control parameters in remote brackish water desalination

Yunyi Zhu, Boyue Lian, Yuan Wang, Christopher Miller, Clare Bales, John Fletcher, Lina Yao and T. David Waite

Water Research, 2022, 227, 119349
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Capacitive deionization for water desalination: Cost analysis, recent advances, and process optimization

Maha Mohammad AL-Rajabi, Farah Anwar Abumadi, Tahar Laoui, Muataz Ali Atieh and Khalil Abdelrazek Khalil

Journal of Water Process Engineering, 2024, 58, 104816
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Insights on features' contribution to desalination dynamics and capacity of capacitive deionization through machine learning study

Farzin Saffarimiandoab, Riccardo Mattesini, Wanyi Fu, Ercan Engin Kuruoglu and Xihui Zhang

Desalination, 2021, 515, 115197
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Predicting the salt adsorption capacity of different capacitive deionization electrodes using random forest

Sanghun Park, Anne Therese Angeles, Moon Son, Jaegyu Shim, Kangmin Chon and Kyung Hwa Cho

Desalination, 2022, 537, 115826
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Cutting-Edge Applications of Multi-Angle Numerical Simulations for Capacitive Deionization

Xiaochen Zhang, Fei Yu and Jie Ma

Acta Physico-Chimica Sinica, 2024, 40, 2311026
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Capacitive deionisation for water desalination review: experimental and simulation

Rokhsareh Akbarzadeh, Mathias Ernst, Robert Meißner and Bodo Fiedler

Science and Technology of Advanced Materials, 2025, 26
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Metadata and feature importance analyses of membrane capacitive deionization models: Is a water treatment artificial intelligence panacea possible?

Sung Ho Chae, Seok Won Hong and Moon Son

Desalination, 2024, 585, 117784
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Advancement of capacitive deionization propelled by machine learning approach

Hao Wang, Yuquan Li, Yong Liu, Xingtao Xu, Ting Lu and Likun Pan

Separation and Purification Technology, 2025, 354, 129423
DOI: 10.1016/j.seppur.2024.129423

Towards intelligent desalination: A systematic review of CDI cell designs and machine learning-driven performance modelling of activated carbon electrodes

Abdul Hai, Wan Mohd Ashri Wan Daud, Muhamad Fazly Abdul Patah, G. Bharath, Fawzi Banat, Muhammad Mubashir, Salam Titinchi and Pau Loke Show

Results in Engineering, 2026, 29, 109405
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Computational Investigations of Ion Selectivity in Capacitive Deionization from Electronic to Device Scales

Ayse Hafsa Dogan, Ayse Saliha Korkut, Amir Haji-Akbari and Betül Uralcan

J. Phys. Chem. Lett., 2025, 16, 12453
DOI: 10.1021/acs.jpclett.5c02703

Capacitive deionization in water treatment: A review of reactor dynamics, electrode materials, functional membranes, and modeling techniques

Juncheng Wang, Cheng Liu, Shunke Ding and Yuchun Yang

Desalination, 2025, 600, 118459
DOI: 10.1016/j.desal.2024.118459

A review on state-of-the-art applications of data-driven methods in desalination systems

Pooria Behnam, Meysam Faegh and Mehdi Khiadani

Desalination, 2022, 532, 115744
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Empowering Capacitive Devices: Harnessing Transfer Learning for Enhanced Data-Driven Optimization

Teslim Olayiwola, Revati Kumar and Jose A. Romagnoli

Ind. Eng. Chem. Res., 2024, 63, 11971
DOI: 10.1021/acs.iecr.4c01171