Papers citing Machine learning-assisted materials development and device management in batteries and supercapacitors: performance comparison and challenges
Self-Supported Porous Polymetallic Tungstates Core-Shell Nanorod Arrays for High-Performance Hybrid Supercapacitors
SSRN Electronic Journal · 2023
Bin Gao, Ruiyuan Hu, Zhifang Tan, Xiaofeng Wang, Yulan Meng, Xue‐Zhi Song, Zhenquan Tan
Read original paper ↗ ·Machine Learning Validation via Rational Dataset Sampling with astartes
The Journal of Open Source Software · 2023
Jackson W. Burns, Kevin Spiekermann, Himaghna Bhattacharjee, Dionisios G. Vlachos, William H. Green
Read original paper ↗ ·Machine Learning-Assisted Electrode Material Fabrication and Electrochemical Efficiency Prediction and Validation of PANI-Ni/Co Hydroxide Nanocomposites
ACS Sustainable Chemistry & Engineering · 2023
Arpit B. Mendhe, Himanshu Sekhar Panda
Read original paper ↗ ·A comprehensive review on MoSe 2 nanostructures with an overview of machine learning techniques for supercapacitor applications
RSC Advances · 2024
Robertson B, R. Sapna, Vinod Hegde, K. Hareesh
Read original paper ↗ ·Exchanging interlayer anions in NiFe-LDHs nanosphere enables superior battery-type storage for high-rate aqueous hybrid supercapacitors
Journal of Materials Chemistry A · 2024
Harishchandra S. Nishad, Vishal Kotha, Pradip Bhikaji Sarawade, Atul Changdev Chaskar, Sagar M. Mane, Jaewoong Lee, Pravin S. Walke
Read original paper ↗ ·Future Perspectives and Emerging Trends in Nanomaterials for Energy Storage
Nanostructure science and technology · 2024
Yashwanth Venkatraman Naik
Read original paper ↗ ·In-depth understanding of electrochemical energy storage efficiency in a series of new 3d–4d mixed metal polyoxometalates: experimental and theoretical investigations
Journal of Materials Chemistry A · 2024
Kalyankumar S. Morla, Dewendra Thakre, Tushar Balasaheb Deshmukh, Sunanda Malo, Subuhan Ahamed, Ravari Kandy Aparna, Subham Sahoo, Debajit Sarma, Kartik Chandra Mondal, Babasaheb Raghunath Sankapal, Abhishek Banerjee
Read original paper ↗ ·Insights on the rate performance of polyaniline supercapacitors by integrated mathematical modeling and machine learning
Journal of Materials Chemistry A · 2024
Elham Rahmanian, Rasoul Malekfar, Ali Sajedi‐Moghaddam
Read original paper ↗ ·Leveraging machine learning in porous media
Journal of Materials Chemistry A · 2024
Mostafa Delpisheh, Benyamin Ebrahimpour, Abolfazl Fattahi, Majid Siavashi, Hamed Mir, Hossein Mashhadimoslem, Mohammad Ali Abdol, Mina Ghorbani, Javad Shokri, Daniel Niblett, Khabat Khosravi, Shayan Rahimi, Seyed Mojtaba Alirahmi, Haoshui Yu, Ali Elkamel, Vahid Niasar, Mohamed Mamlouk
Read original paper ↗ ·Synthesis and applications of self-supported porous polymetallic tungstates heterostructure electrodes for high-performance asymmetric supercapacitors
Journal of Alloys and Compounds · 2024
Bin Gao, Ruiyuan Hu, Zhifang Feng, Xiaofeng Wang, Yulan Meng, Xue‐Zhi Song, Zhenquan Tan
Read original paper ↗ ·Progress in flexible supercapacitors for wearable electronics using graphene-based organic frameworks
Journal of Energy Storage · 2024
Shruti Shalini, T. B. Naveen, D. Durgalakshmi, S. Balakumar, R. Ajay Rakkesh
Read original paper ↗ ·Attention towards chemistry agnostic and explainable battery lifetime prediction
npj Computational Materials · 2024
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, Kathrin Michel, Leon Merker, Balázs B. Berkes, Leah Nuss, Helge Sören Stein
Read original paper ↗ ·Predicting the Remaining Useful Life of Supercapacitors under Different Operating Conditions
Energies · 2024
Guangheng Qi, Ning Ma, Kai Wang
Read original paper ↗ ·A Novel Supercapacitor Degradation Prediction Using a 1D Convolutional Neural Network and Improved Informer Model
Protection and Control of Modern Power Systems · 2024
Hao Zhang, Zhenxiao Yi, Le Kang, Yi Zhang, Kai Wang
Read original paper ↗ ·Architectural engineering of nanocomposite electrodes for energy storage
MRS Communications · 2024
Kara A. Randall, Mirina Elizabeth Enderlin, Paraskevi Flouda
Read original paper ↗ ·Estimating state of charge of cylindrical lithium-ion cells using multiple random convolutional kernel transform and low-frequency stress waves
Energy storage materials · 2024
Jian Chen, Thomas Hannan, Yan Li Yao, Gangbing Song
Read original paper ↗ ·Machine learning-assisted prediction, screen, and interpretation of porous carbon materials for high-performance supercapacitors
Journal of Materials Informatics · 2024
Hongwei Liu, Zhenming Cui, Zhennan Qiao, Xiaokang An, Yongzhen Wang
Read original paper ↗ ·Efficient structure-informed featurization and property prediction of ordered, dilute, and random atomic structures
Computational Materials Science · 2024
Adam M. Krajewski, Jonathan W. Siegel, Zi‐Kui Liu
Read original paper ↗ ·Next-Gen Energy Storage Devices
Advances in chemical and materials engineering book series · 2024
Krishna Kumar, Uplabdhi Tyagi, Saurav Kumar Maity, Gulshan Kumar
Read original paper ↗ ·A mixed-ligand approach to a cobalt-based electroactive framework for superior supercapacitor performance
Journal of Materials Chemistry A · 2025
Safwana Shirin KM, Zahir Abbas, Shaikh Md. Mobin
Read original paper ↗ ·AI and automation: democratizing automation and the evolution towards true AI-autonomous robotics
Chemical Science · 2025
Lauren Takahashi, Micke Kuwahara, KEISUKE G. TAKAHASHI
Read original paper ↗ ·Capacitance Classification for Supercapacitors Using Machine Learning
IEEE Access · 2025
Ali Almuamri, Furkan Soysal, Sıtkı Kocaoğlu
Read original paper ↗ ·Data-driven finding of organic anode active materials for lithium-ion batteries from natural flower scent products using capacity predictors
Journal of Materials Chemistry A · 2025
Haruka Tobita, Kosuke Sakano, Hiroaki Imai, Yusuke Yamashita, Yuya Oaki
Read original paper ↗ ·Nickel cobalt phosphate/phosphide as a promising electrode material for extrinsic supercapacitors: machine learning analysis
Journal of Materials Chemistry A · 2025
Chetankumar D. Chavare, Digambar S. Sawant, Satish V. Gaikwad, Akash V. Fulari, H. R. Kulkarni, Deepak Prakash Dubal, Gaurav M. Lohar
Read original paper ↗ ·Ion beam engineering of nanostructured materials for superior performance in supercapacitor applications: Recent progress and future perspectives
Journal of Energy Storage · 2025
Basudeba Maharana, Shyamal Chatterjee
Read original paper ↗ ·Synergistic design and synthesis of O, N Co-doped hierarchical porous carbon for enhanced supercapacitor performance
Energy Materials · 2025
Hongwei Liu, Zhenming Cui, Yan Jie Sun, Zhennan Qiao, Yanlan Zhang, Qiang Bai, Yongzhen Wang
Read original paper ↗ ·Transition Metal Molybdates Emerging Materials for High‐Performance Supercapacitors: A Machine Learning Analysis
Battery energy · 2025
Digambar S. Sawant, Shrinivas B. Kulkarni, Deepak Prakash Dubal, Gaurav M. Lohar
Read original paper ↗ ·Temperature-dependent performance prediction for cerium oxynitride solid-state symmetric supercapacitor using machine learning
Journal of Energy Storage · 2025
Sourav Ghosh, Ashwath Sibi, G. Sudha Priyanga, Zaineb Chelly Dagdia, Tiju Thomas
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 ↗ ·Energy storage in supercapacitor researches: Interdisciplinary applications from molecular simulations to machine learning
Applied Energy · 2025
Yawen Dong, Yutong Liu, Fei‐Fei Mao, Hua Wu
Read original paper ↗ ·Advancements on the synthesis and modification of metal-organic framework derivatives for supercapacitors
Journal of Energy Storage · 2025
Geping He, X. R. Li, Wenbo Zhou, Zhong Hua Huang, Huijun HuangFu, Lang Jv, Yuxia Qiao, Zhilei Li, Donghai Ding, Zongmo Shi, Quan Yang
Read original paper ↗ ·Calculated solvation and ionization energies for thousands of organic molecules relevant to battery design
Machine Learning Science and Technology · 2025
Jan Weinreich, Konstantin Karandashev, Daniel J. Arismendi‐Arrieta, Kersti Hermansson, O. Anatole von Lilienfeld
Read original paper ↗ ·From data to device: Machine learning-driven optimization, predictions, and experimental insights for engineering high-performance MnO2 supercapacitors
Colloids and Surfaces A Physicochemical and Engineering Aspects · 2025
Najmin Mursal, Anjali Rajesh Shelake, Shubham A. Ahir, Pooja P. Sonawane, Manickam Selvaraj, Mohammed Ali Assiri, Sachin V. Kulkarni, Santosh Shashikant Sutar, Rutuja U. Amate, Chan‐Wook Jeon, Tukaram Dattatray Dongale, Prashant P. Shah
Read original paper ↗ ·Engineering novel sea urchin-like bimetallic cu co selenide nanostructures for high-performance asymmetric supercapacitors
Journal of Energy Storage · 2025
Ziyang Liu, Bin Gao, Bona Zhang, Wenqiang Sun, Yingjie Li, Chenyong Wang, Xue‐Zhi Song, Xiaofeng Wang, Zhenquan Tan
Read original paper ↗ ·Artificial Intelligence in Predicting Performance of Sustainable Marine Materials
Journal of Mines Metals and Fuels · 2025
Ghanasham Chandrakant Sarode, Arvind Madhukar Jagtap, Trupti Narayan Pawase, Swati Jaiswal, Neha Joshi, Kasiprasad Mannepalli, Anant Sidhappa Kurhade
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 ↗ ·Evaluating machine learning models for predicting the storage performance of polypyrrole-based supercapacitor electrodes
Journal of Energy Storage · 2025
A.E. Abd-elnaby, Khaled E. El‐Kelany, Fathallah F. Selim, Mostafa A. Ebied, Ahmed M. Elshaer
Read original paper ↗ ·Hybrid MXenes for supercapacitors: Advances, mechanisms, and outlook
Materials Today Physics · 2025
Sonika Sonika, Narinder Singh
Read original paper ↗ ·Machine learning-guided optimization, predictive modeling, and experimental validation of MXene-based supercapacitors
Journal of Power Sources · 2025
Anjali Rajesh Shelake, Vijay Chandrakant Karade, Manickam Selvaraj, Mohammed Ali Assiri, Dipti D. More, Amruta D. Patil, Mukund G. Mali, Santosh Shashikant Sutar, Rutuja U. Amate, Chan‐Wook Jeon, Tae Geun Kim, Tukaram Dattatray Dongale
Read original paper ↗ ·Convergence of Computational Materials Science and AI for Next-Generation Energy Storage Materials
Journal of Electronic Materials · 2025
Xuexue Pan, Yuanlin Xie, Chujun Li, Yangyang He, Yitong Zhang, Yilin Wang, Zhichun Li, Peiyu Peng, Jun Wang
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 ↗ ·AI‐Driven Optimization of Waste‐Derived Nanocomposites for High‐Performance Microbial Fuel Cells
Energy Technology · 2025
Darshita Valde, Lakeswer Dadsena, Chandrasekhar Kuppam, Monalisha Mohanta, Tungabidya Maharana, Satya Eswari
Read original paper ↗ ·Toward efficient dielectric material discovery: a comparative evaluation of Transformer and AutoML-based inverse learning
Journal of Asian Ceramic Societies · 2025
Murad Ali Khan, Hye-Jeong Song, Syed Shehryar Ali Naqvi, Muhammad Faseeh, Hyunseok Ko, Do‐Hyeun Kim
Read original paper ↗ ·Artificial intelligence-driven electrolyte chemistry for lithium-ion batteries: mechanisms, progress and strategic perspectives
Energy & Environmental Science · 2026
Jian Chen, Nan Qin, Fei Pei, Yu Zhang, Yun Qiao, Yifei Yu, Yunhui Huang
Read original paper ↗ ·Data-Driven Machine Learning Approach for Predicting the Capacitance of ZnCo2O4 -Based Supercapacitor Electrodes
SSRN Electronic Journal · 2026
Bilal Sikandar, Syed Mujtaba ul Hassan, Zafar Iqbal
Read original paper ↗ ·Data-Driven Machine Learning Approach for Predicting the Capacitance of ZnCo2O4 -Based Supercapacitor Electrodes
SSRN Electronic Journal · 2026
Bilal Sikandar, Syed Mujtaba ul Hassan, Zafar Iqbal
Read original paper ↗ ·Designing High-Performance Gel Polymer Electrolytes for Supercapacitors: A Combined DFT and Machine Learning Approach to Ionic Liquid-PVDF Complexes
SSRN Electronic Journal · 2026
Sadegh Kaviani
Read original paper ↗ ·Electrode Materials and Prediction of Cycle Stability and Remaining Service Life of Supercapacitors
Coatings · 2026
Wen Jiang, Jingchen Wang, Rui Guo, Jinwei Wang, Jilong Song, Kai Wang
Read original paper ↗ ·Integrated Experimental and Machine Learning for Optimization and Performance Prediction of Cobalt-Based Metal-Organic Framework-Coated Nickel Foam Electrodes for Symmetric Supercapacitors
SSRN Electronic Journal · 2026
K. Radhakrishnan, Rohit Kumar Shaw, D V Siva Krishna Rao K, Aditya Kumar
Read original paper ↗ ·Recent advances in carbon-based materials for supercapacitors: synthesis, electrochemical properties, and impact of machine learning
Journal of Materials Chemistry A · 2026
Anik Sahoo, Sumanta Sahoo, Rajesh Kumar
Read original paper ↗ ·