Papers citing Machine learning-assisted materials development and device management in batteries and supercapacitors: performance comparison and challenges
Recent progress in supercapacitors: A critical review of energy storage mechanisms, electrode design strategies and future perspectives
Journal of Alloys and Compounds · 2026-01-22
Chenyu Du, Jia Lei Chen-Qiu, Zengying Zhao, Félix Zamora, Hao Liu
Read original paper ↗ ·Machine-learning interatomic potentials for interfaces in all-solid-state batteries: Perspectives on training data, model selection, and validation
MRS Communications · 2026-02-18
Kwangnam Kim, Suyue Yuan, Brandon C. Wood, Liwen F. Wan
Read original paper ↗ ·Accelerating supercapacitor lifetime optimization using quantum machine learning surrogates
Energy and AI · 2026-04-05
Mojtaba Khakpour Komarsofla, Amirkianoosh Kiani
Read original paper ↗ ·Prediction of Composite Supercapacitor Performance Through Combining Machine Learning with Novel Binder-Related Features
Nanomaterials · 2026-04-17
Tianshun Gong, Weiyang Yu, Xiangfu Wang
Read original paper ↗ ·Synergizing machine learning and self-assembly to hypercrosslinked polymers-based carbon nanotubes for supercapacitors
Chemical Engineering Journal · 2026-05-15
Wenliang Song, Jingli Li, Runtong Pan, Hailang Xu, Meng Xu, Jinseok Park, Jinwoo Kim, Jihao Yang, Qing Lin Hou, Guisheng Li, Yaozu Liao, Jianzhong Wu, Bumjoon J. Kim
Read original paper ↗ ·Quantum-artificial intelligence framework for suppressing dendrites and enhancing interface stability in lithium-metal solid-state batteries
Energy Exploration & Exploitation · 2026-05-20
Surya Kalyan Chakravarthy Nidamanuri, Mohammed Bilal Netibottu, Bhaskara Rao Kasipogula, Jafar Ali Ibrahim Syed Masood, Raenu A. L. Kolandaisamy, Kousik Nalliyanna Goundar Veerappan
Read original paper ↗ ·AI-driven sustainable supercapacitors for advanced renewable energy storage applications
Hybrid Advances · 2026-07-04
Nahid Tyagi, Nidhi, Gaurav Sharma, Rohit Srivastava, Manoj Kumar Singh, Ranjith Krishna Pai
Read original paper ↗ ·Flexible and Wearable Carbon Cloth‐Based Supercapacitors: Synthesis, Applications, and Challenges
ChemElectroChem · 2026-07-04
Mian Muhammad Faisal, Syeda Roohina Ali
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 · 2026-07-10
Maike Käärik, Mati Arulepp, Uko Maran, Jaan Leis
Read original paper ↗ ·Machine learning driven synthesis of nickel phosphate for advanced hybrid supercapacitors
Journal of Energy Storage · 2026-08-08
Chetankumar D. Chavare, Prafullata C. Chavare, Sampada V. Chavan, Chinmayee Padwal, Xijue Wang, Harishchandra R. Kulkarni, Deepak Prakash Dubal, Gaurav M. Lohar
Read original paper ↗ ·Solvent- and binder-free PEEK–LIG electrodes for supercapacitors with data-driven RUL prediction
Journal of Energy Storage · 2026-08-12
P. S. V. V. Srihari, Satish Kumar Dubey, Sanket Goel, Arshad Javed
Read original paper ↗ ·Applications and prospects of machine learning in aqueous batteries
Chinese Chemical Letters · 2026-09-01
Yaning Zhou, Hengbo Jia, Ziyi Cheng, Yuanyuan Yang, Qian Li, Le Li
Read original paper ↗ ·A mini review on the role of artificial intelligence in direct methanol fuel cells: Toward enhanced efficiency and sustainability
Next Energy · 2026-09-09
Yathavan Subramanian, Anitha Dhanasekaran, Lukman Ahmed Omeiza, Muhammed Ali S A, Абул Калам Азад, Veena Raj, Hayati Yassin, Avinash Kumar, Ramesh Kumar Gubendiran
Read original paper ↗ ·Reliability-by-design for deployable next-generation supercapacitors: degradation, harsh-environment operation, sustainability, and AI-guided lifetime prediction
Progress in Materials Science · 2026-09-18
Syed Shaheen Shah, Hani A. Albalawi, Adnan Almasoudi, Abdul Wadood, Syed Khasim, Taymour A. Hamdalla, Takaya Ogawa, Munawar Iqbal, Zafar Said, Md. Abdul Aziz
Read original paper ↗ ·A novel hierarchical optimal control strategy for hybrid energy storage considering smoothing wind power fluctuations and compensating prediction errors
Renewable energy focus · 2026-09-30
Lirong Xie, Yifan Bian, Peihua Jin
Read original paper ↗ ·From Trial-and-Error to Closed-Loop Design: A Data-Driven Review on Biomass-Derived Carbon for Supercapacitors
Environmental Surfaces and Interfaces · 2026-10-01
Xin Ning, Honghui Wang, Yunping Chen, Cheng Chen, Haofeng Lu, LeXing You, Huijuan Guan, Donghai Lin
Read original paper ↗ ·