Activated carbon cloth as efficient microporous electrode for maleic acid recovery through electrical potential

Dennis Röcker, Fabian Biebl, Lisa Meier, Sebastian Patrick Schwaminger, Paula Fraga-García and Sonja Berensmeier

Mater. Adv., 2025, 6, 6162
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A comprehensive review on MoSe2 nanostructures with an overview of machine learning techniques for supercapacitor applications

Robertson B, Sapna R, Vinod Hegde and Hareesh K

RSC Adv., 2024, 14, 37644
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A machine learning approach for estimating supercapacitor performance of graphene oxide nano-ring based electrode materials

Gaurav Kumar Yogesh, Debabrata Nandi, Rungsima Yeetsorn, Waritnan Wanchan, Chandni Devi, Ravi Pratap Singh, Aditya Vasistha, Mukesh Kumar, Pankaj Koinkar and Kamlesh Yadav

Energy Adv., 2025, 4, 119
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Insights into the specific capacitance of CNT-based supercapacitor electrodes using artificial intelligence

Wael Z. Tawfik, Mohamed Shaban, Athira Raveendran, June Key Lee and Abdullah M. Al-Enizi

RSC Adv., 2025, 15, 3155
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Machine learning-assisted materials development and device management in batteries and supercapacitors: performance comparison and challenges

Swarn Jha, Matthew Yen, Yazmin Soto Salinas, Evan Palmer, John Villafuerte and Hong Liang

J. Mater. Chem. A, 2023, 11, 3904
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Mechanisms of Porous Carbon‐based Supercapacitors

Yanming Cao, Shengping Li, Chenggen Xu, Xinlong Ma, Guoyong Huang, Chunxi Lu and Zekun Li

ChemNanoMat, 2021, 7, 1273
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State-of-Health and State-of-Charge Estimation in Electric Vehicles Batteries: A Survey on Machine Learning Approaches

Aya Haraz, Khalid Abualsaud and Ahmed Massoud

IEEE Access, 2024, 12, 158110
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MOFs‐Derived Nanoarrays: A Promising Strategy for Next‐Generation Supercapacitors

Zian Huang, Weiqiang Zhou, Danqin Li and Jingkun Xu

The Chemical Record, 2025, 25
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Statistical analysis and Monte-Carlo simulation of printed supercapacitors for energy storage systems

Hamed Pourkheirollah, Jari Keskinen, Matti Mäntysalo and Donald Lupo

Journal of Power Sources, 2023, 585, 233626
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Manganese doping: A novel approach to enhancing surface wettability of carbon electrodes

Jie Sheng, Xiaoli Xu and Wenjun Wu

Carbon Trends, 2022, 9, 100217
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Superior electrocatalytic responses of InGaZnO composite electrode for viologen-based electrochromic supercapacitors

Raksha Pal, Fayong Sun, Soo Yeon Eom, Manoj M. Rajpure, Beomjin Jeong and Jong S. Park

Composites Part B: Engineering, 2025, 302, 112557
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Machine learning enabled property prediction of carbon-based electrodes for supercapacitors

Rajat Kushwaha, Mayank K. Singh, Sarathkumar Krishnan and Dhirendra K. Rai

J Mater Sci, 2023, 58, 15448
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Biomass Nanoarchitectonics for Supercapacitor Applications

Lok Kumar Shrestha, Rekha Goswami Shrestha, Sabina Shahi, Chhabi Lal Gnawali, Mandira Pradhananga Adhikari, Biswa Nath Bhadra and Katsuhiko Ariga

J. Oleo Sci., 2023, 72, 11
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Modeling of capacitance for carbon-based supercapacitors using Super Learner algorithm

Jafar Abdi, Tahereh Pirhoushyaran, Fahimeh Hadavimoghaddam, Seyed Ali Madani, Abdolhossein Hemmati-Sarapardeh and Seyyed Hamid Esmaeili-Faraj

Journal of Energy Storage, 2023, 66, 107376
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Soft-hard heterostructure functional carbon materials: Synthesis, structure regulation, and applications in energy storage

Ting Lv, Jing Zhang, Xiaomin Yang and Jieshan Qiu

Carbon, 2026, 247, 120958
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Hard carbon-based electrode boosts the performance of a solid-state symmetric supercapacitor

Hongyu Chu, Zhenjie Lu, Mengyao Man, Shuaichao Song, Hailing Zhang, Junxia Cheng, Xuefei Zhao, Jingui Duan, Xingxing Chen and Yaming Zhu

Journal of Energy Storage, 2024, 76, 109660
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Activity of transition metals in N‐doped carbon Electrocatalysts for hydrogen evolution reaction: Insight from quantum chemistry computations

Alireza Baghban, Sajjad Habibzadeh and Farzin Zokaee Ashtiani

Intl J of Energy Research, 2022, 46, 1637
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On the evaluation of hydrogen evolution reaction performance of metal-nitrogen-doped carbon electrocatalysts using machine learning technique

Alireza Baghban, Sajjad Habibzadeh and Farzin Zokaee Ashtiani

Sci Rep, 2021, 11
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Ensemble Approach Assisted Specific Capacitance Prediction for Heteroatom‐Doped High‐Performance Supercapacitors

Ravi Prakash Dwivedi, Richa Dubey, Dheeren Ku Mahapatra, Saurav Gupta and Pranav Kalidas Katkar

International Journal of Energy Research, 2025, 2025
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Green synthesis of MXene@TiO₂ nanocomposites for high-performance flexible supercapacitors: Synergistic enhancement via polypyrrole polymerization and dopant engineering

Hatice Yasemin Ulgunar Iskender, Osman Eksik, Melih Besir Arvas and Sibel Yazar

Synthetic Metals, 2025, 313, 117915
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Ni0.96S/NiS/Ni3S2 coated three-dimensional graphene composite for high energy storage and capacitance retention supercapacitors

Yongming Li, Yunpeng Zhai, Xiaorui Yan, Changkun Xia, Jimin Xie, Xiang Li, Min Chen and Yuanguo Xu

Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2022, 651, 129671
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Enhanced cryogenic distillation column identification for methane separation: a hybrid artificial neural network approach

Suhailam Pullanikkattil, Raju Yerolla and Chandra Shekar Besta

Chemical Product and Process Modeling, 2025, 20, 111
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In-situ synthesized rGO/Co3O4/PANI electrode with superior capacitance for aqueous supercapacitors

Murat Ates and Fatih Nacak

Diamond and Related Materials, 2026, 162, 113204
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Advancement in Supercapacitors for IoT Applications by Using Machine Learning: Current Trends and Future Technology

Qadeer Akbar Sial, Usman Safder, Shahid Iqbal and Rana Basit Ali

Sustainability, 2024, 16, 1516
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Data-driven machine learning approach for predicting the capacitance of graphene-based supercapacitor electrodes

Ahmed G. Saad, Ahmed Emad-Eldeen, Wael Z. Tawfik and Ahmed G. El-Deen

Journal of Energy Storage, 2022, 55, 105411
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Porous potassium tantalate-reduced graphene oxide nano cube architecture for high performance hybrid supercapacitors

Apurva Nandagudi, Sumedha H. Nagarajarao, Shivaraj B. Patil, V.G. Dileep Kumar, M.S. Santosh, Ankur Gupta, Kunal Mondal and Basavanakote M. Basavaraja

e-Prime - Advances in Electrical Engineering, Electronics and Energy, 2023, 4, 100182
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On the prediction of methane adsorption in shale using grey wolf optimizer support vector machine approach

Rahmad Syah, Mohammad Hossein Towfighi Naeem, Reza Daneshfar, Hossein Dehdar and Bahram Soltani Soulgani

Petroleum, 2022, 8, 264
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Preparation of high-performance PVDF mixed matrix membranes incorporated with PVDF-g-PMMA copolymer and GO@SiO2 nanoparticles for dye rejection applications

Hossein Mahdavi, Nazanin Zeinalipour, Mohammad Amin Kerachian and Ali Akbar Heidari

Journal of Water Process Engineering, 2022, 46, 102560
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Metal organic frameworks and derivatives: Design strategies and performance advances for next-generation supercapacitors

Asfaq Ali and Tapas Das

Journal of Energy Storage, 2026, 157, 121662
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Supercapacitor electrode fabrication through chemical and physical routes

Parnia Forouzandeh, Priyanka Ganguly, Ravinder Dahiya and Suresh C. Pillai

Journal of Power Sources, 2022, 519, 230744
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Data-based modeling for prediction of supercapacitor capacity: Integrated machine learning and metaheuristic algorithms

Hamed Azimi, Ebrahim Ghorbani Kalhor, Seyed Reza Nabavi, Mohammad Behbahani and Mohammad Taghi Vardini

Journal of the Taiwan Institute of Chemical Engineers, 2025, 170, 105996
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Neural Network Models for Estimating the Impact of Physicochemical and Operational Parameters on the Specific Capacity of Activated-Carbon-Based Supercapacitors

B. S. Reddy, A. K. Maurya, Uma Maheshwera Reddy Paturi, Jaekyung Sung, P. L. Narayana, Hyo-Jun Ahn, K. K. Cho and N. S. Reddy

Energy Fuels, 2023, 37, 15084
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Low-Cost and Sustainable Cross-Linked Polyvinyl Alcohol–Tartaric Acid Composite Binder for High-Performance Lithium–Sulfur Batteries

Bhumi Reddy Srinivasulu Reddy, Jou-Hyeon Ahn, Hyo-Jun Ahn, Gyu-Bong Cho and Kwon-Koo Cho

ACS Appl. Energy Mater., 2023, 6, 6327
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Carbon‐Based Catalysts for Electrosynthesis of Hydrogen Peroxide

Ting Lv, Huashuo Jin, Zhiyuan Sang, Zhenxin Li, Xia Li, Lin Wang, Shu Cai, Ji Liang, Qin Li and Xiao Yan

ChemSusChem, 2025, 18
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Proposing an Adaptive Neuro‐Fuzzy System‐Based Swarm Concept Method for Predicting the Physical Properties of Nanofluids

Gong Han, Amir Seraj and Alireza Baghban

International Journal of Chemical Engineering, 2022, 2022
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Estimating hydrogen absorption energy on different metal hydrides using Gaussian process regression approach

Majedeh Gheytanzadeh, Fatemeh Rajabhasani, Alireza Baghban, Sajjad Habibzadeh, Otman Abida, Amin Esmaeili and Muhammad Tajammal Munir

Sci Rep, 2022, 12
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Modeling capacitance of carbon-based supercapacitors by artificial neural networks

B.S. Reddy, P.L. Narayana, A.K. Maurya, Uma Maheshwera Reddy Paturi, Jaekyung Sung, Hyo-Jun Ahn, K.K. Cho and N.S. Reddy

Journal of Energy Storage, 2023, 72, 108537
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Towards estimation of CO2 adsorption on highly porous MOF-based adsorbents using gaussian process regression approach

Majedeh Gheytanzadeh, Alireza Baghban, Sajjad Habibzadeh, Amin Esmaeili, Otman Abida, Ahmad Mohaddespour and Muhammad Tajammal Munir

Sci Rep, 2021, 11
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Predicting Carbon Nanotube Capacitance in H₂SO₄ Electrolytes Through Machine Learning and Data Augmentation Techniques

Hatem M. Noaman, Adel Assiri, Fahad Kamal Alsheref, Mohamed Shaban, Wael Zakaria Tawfik and Rabab Hamed M. Aly

IEEE Access, 2025, 13, 182519
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Optimization of capacitance in supercapacitors by constructing an experimentally validated hybrid artificial neural networks-genetic algorithm framework

Duygu Kaya, Dilara Koroglu, Erdal Aydın and Betul Uralcan

Journal of Power Sources, 2023, 568, 232987
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On the Investigation of Effective Factors on Electronic Structure Properties of Transition Metal Complexes: Robust Modeling Using GPR Approach

Jianjun Wang, Mohammad Mahdi Molla Jafari and Alireza Baghban

International Journal of Chemical Engineering, 2022, 2022
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Deep learning CNN-APSO-LSSVM hybrid fusion model for feature optimization and gas-bearing prediction

Jiu-Qiang Yang, Nian-Tian Lin, Kai Zhang, Yan Cui, Chao Fu and Dong Zhang

Petroleum Science, 2024, 21, 2329
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Intelligent route to design efficient CO2 reduction electrocatalysts using ANFIS optimized by GA and PSO

Majedeh Gheytanzadeh, Alireza Baghban, Sajjad Habibzadeh, Karam Jabbour, Amin Esmaeili, Amin Hamed Mashhadzadeh and Ahmad Mohaddespour

Sci Rep, 2022, 12
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Advanced polymer-based materials and mesoscale models to enhance the performance of multifunctional supercapacitors

Nishant Gaikwad, Priya Gadekar, Balasubramanian Kandasubramanian and Fiyanshu Kaka

Journal of Energy Storage, 2023, 58, 106337
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Preparation of MnS/NiCo2S4 composite nanosheets self-supported electrode and the performance in water-system asymmetric supercapacitors

Xiao Wang, Siheng Ren, Deqiang Kong, Chang Liu and Yuanhao Wu

J. Phys.: Conf. Ser., 2024, 2842, 012092
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Machine learning techniques for prediction of capacitance and remaining useful life of supercapacitors: A comprehensive review

Vaishali Sawant, Rashmi Deshmukh and Chetan Awati

Journal of Energy Chemistry, 2023, 77, 438
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Advances in materials and machine learning techniques for energy storage devices: A comprehensive review

Prit Thakkar, Sachi Khatri, Drashti Dobariya, Darpan Patel, Bishwajit Dey and Alok Kumar Singh

Journal of Energy Storage, 2024, 81, 110452
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Core-shell Ppy@N-doped porous carbon nanofiber-based electrodes for high-property supercapacitors

Lulu Gao, Yi Wang, Yuqing Liu and Lan Xu

Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2023, 663, 131056
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Fabrication of biomass-based functional carbon materials for energy conversion and storage

Xiaomin Yang, Huihui He, Ting Lv and Jieshan Qiu

Materials Science and Engineering: R: Reports, 2023, 154, 100736
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Manganese Doping: A Novel Approach to Enhancing Surface Wettability of Carbon Electrodes

Jie Sheng, Xiaoli Xu and Wenjun Wu

SSRN Journal, 2022
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Utilizing machine learning and deep learning for enhanced supercapacitor performance prediction

Ahmed Emad-Eldeen, Mohamed A. Azim, Montaser Abdelsattar and Ahmed AbdelMoety

Journal of Energy Storage, 2024, 100, 113556
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Energy storage in supercapacitor researches: Interdisciplinary applications from molecular simulations to machine learning

Yawen Dong, Yutong Liu, Feifei Mao and Hua Wu

Applied Energy, 2025, 393, 126074
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