Papers citing An emerging machine learning strategy for the assisted‐design of high-performance supercapacitor materials by mining the relationship between capacitance and structural features of porous carbon
New insights into the performance of biomass carbon-based supercapacitors based on interpretable machine learning approach
Journal of Energy Storage · 2025
Peng Fei Liu, Yu Ge, Huanhuan Li, Yangping Wen, Tao Chen, Xiangrong Zeng
Read original paper ↗ ·Prediction of specific capacitance of activated carbon electrode for energy storage device by machine learning based approach
Journal of Energy Storage · 2025
Stuti Shrivas, Amarish Dubey
Read original paper ↗ ·A guided review of machine learning in the design and application for pore nanoarchitectonics of carbon materials
Materials Science and Engineering R Reports · 2025
Chuang Wang, Xingxing Cheng, Kai Luo, K. Nandakumar, Zhiqiang Wang, Meng Ni, Xiaotao Tony Bi, Jiansheng Zhang, Chunbo Wang
Read original paper ↗ ·Machine Learning Enhanced Self‐Charging Power Sources
Advanced Functional Materials · 2025
Rui Gu, Wei Ping Liang, Nuo Xu, Yao Xiong, Qijun Sun, Zhong Lin Wang
Read original paper ↗ ·Review on Carbon Nanostructures for Supercapacitors: Cutting-Edge Energy Storage Applications and Perspectives
Energy & Fuels · 2025
Sasmita Mishra, Lingaraj Pradhan, Bikash Kumar Jena
Read original paper ↗ ·Machine learning-guided prediction of energy storage performance of carbon cathode materials for zinc-ion hybrid capacitors
Journal of Colloid and Interface Science · 2025
Yaoyu Chen, Hao Wang, Chenglong Wang, Chenglong Wang, Jiaqi Yang, Xinjuan Liu, Yefeng Yao, Yefeng Yao, Guang Yang, Min Hua Xu, Likun Pan
Read original paper ↗ ·Investigation of prediction approaches for the design and performance analysis of supercapacitors with biomass-based activated carbon electrodes
Journal of Energy Storage · 2025
Nida Katı, Ferhat Uçar
Read original paper ↗ ·Machine learning-guided fabrication of NiO/CoO and CuO/CoO based nanocomposites for high-performance supercapacitors
Materials Chemistry and Physics · 2025
Aqsa Hussain, Abdulraheem S. A. Almalki, Abdul Sami, Muhammad Tariq, Farhan Zafar, Muhammad Ali Khan, Naeem Akhtar, Sagheer Ahmad, Muhammad Usman Ur Rehman, Gaber A. M. Mersal, Mohamed M. Ibrahim
Read original paper ↗ ·Recent advances in the high entropy materials for advanced energy storage with machine learning
Materials Reports Energy · 2025
Xin Tong, Kaifang Sun, Hao Ye, Lin Cao, Jinliang Zhuang, Juan Tian, Xinxing Zhan
Read original paper ↗ ·A review on nano-structured electrodes for high-performance supercapacitors: panoramic insights across dimensional spectra
Discover Electronics · 2025
Aniket Shankarrao Raikwar, Himanshu Sekhar Panda
Read original paper ↗ ·Next-generation supercapacitors based on samarium nanoparticles: a review of material innovation and charge storage enhancement
Ionics · 2026
Nukhba Mazhar, Zoya Khan, Zeshan Ali Sandhu, Mohd Farhan, Muhammad Asam Raza
Read original paper ↗ ·Machine learning models for predicting electrochemical behavior of MXene for energy storage applications
Journal of Power Sources · 2026
Shavita, Sneha Sharma, Amit L. Sharma, Amit L. Sharma, Suman Singh
Read original paper ↗ ·Interpretable machine learning for optimizing the specific capacitance of biomass-derived supercapacitors
Fuel · 2026
Yunyun Liu, Heng Zhang, Rui Cao, Haojie Gao, Qiang Yu, Meng An
Read original paper ↗ ·Machine learning applied to the optimization of biomass char-based supercapacitors: Effect of experimental parameters on supercapacitor performance
Electrochimica Acta · 2026
Jing Chen, Zhaosheng Yu, Jinxi Dong, Wenchang Yue, Xiaoqian Ma
Read original paper ↗ ·Metallurgical Indices for Physics-Informed Machine Learning-Based Fatigue Strength Prediction in Steels
Journal of Failure Analysis and Prevention · 2026
Ala’a M. Al-Falahat
Read original paper ↗ ·ML empowered supercapacitors: A new era of predictive energy storage research
Journal of Energy Storage · 2026
Xiaoxu Qi, Jie Wu, Hafeez Ur Rehman
Read original paper ↗ ·Machine learning-based energy density prediction of bio-based supercapacitor with Shapley additive model interpretation
Journal of Materials Science · 2026
Damilare Samuel Oyebamiji, Davannendran Chandran
Read original paper ↗ ·Integrated design strategies for high-performance supercapacitors: a comprehensive review on the role of current collectors, electrode materials, electrolytes, and AI-driven optimization
Ionics · 2026
Surender Gunalan, Ong Gerard, Thibeorchews Prasankumar, Fatin Saiha Omar, Shahid Bashir, Sasvat Sayee Ram Ramesh, K. Ramesh
Read original paper ↗ ·Machine learning-assisted prediction of power density for bio-based supercapacitor
Next Energy · 2026
Oluwaseun Michael Edokpayi, Davannendran Chandran, Damilare Samuel Oyebamiji
Read original paper ↗ ·Machine Learning and Hybrid Fuzzy Logic for Prediction and Optimization of Flexible Supercapacitor Performance for Smart Textiles
Türk Bilim ve Mühendislik Dergisi · 2026
Murat KODALOĞLU, Feyza AKARSLAN KODALOĞLU
Read original paper ↗ ·Synthetic Porous Carbons for High-Energy, High-Power Supercapacitors
Chemical Reviews · 2026
Fan Wang, Nikolaos Samartzis, Tao Wang, Sheng Dai
Read original paper ↗ ·Machine learning-assisted QnSPR study of structurally diverse nanoporous carbon materials and their capacitive behavior in dilute ionic liquid electrolyte
Journal of Materials Science · 2026
Maike Käärik, Mati Arulepp, Uko Maran, Jaan Leis
Read original paper ↗ ·Source-aware materials informatics for biomass-derived carbon electrodes: predicting supercapacitor capacitance from precursor and process descriptors
Physica Scripta · 2026
Ferhat Uçar, Nida Katı, Mohammed Abduljalil Saeed Ahmed
Read original paper ↗ ·Toward Sustainable Desalination: Experimental Evaluation and Predictive Modeling of Membrane Capacitive Deionization
Water Environment Research · 2026
Abdul Mojid Parvej, Shah Tanvir Alam Rimon, Shal Sabila Mostofa, Mustakim Ahmed Soikat, Monjur Mourshed
Read original paper ↗ ·