BetaCitation Atlas
← Back to paper and map

Papers citing Machine learning in energy storage material discovery and performance prediction

  1. Small-sample ensemble learning-driven prediction and mechanistic analysis of hydrogen release performance in modified LiBH 4

    E3S Web of Conferences · 2026-01-01

    Zishan Luo, Jiawei Li, Wenhao Yan, Hong Cui, Weizhi Tian

    Read original paper ↗ ·
  2. Use of digital tools in energy management: A key to enhancing cooperation

    Elsevier eBooks · 2026-01-01

    Silvia Román Suero, José Manuel Díaz-Rasero, Jose Ignacio Huertas, Doroteya Dimitrova Angelova, Miguel Chen Austin, Oscar Churio Silvera, Marcos Lafoz, Pedro José Muñoz Acebedo, Diego Carmona Fernández, Dafni Mora, Jorge Ńajera, Gustavo Navarro, Verónica M. Sánchez, Ezequiel de la Llave

    Read original paper ↗ ·
  3. Vacancy‐Engineered ZnS/N‐Doped Carbon on rGO as a Multifunctional Separator Coating for High Stable Lithium‐Sulfur Batteries

    International Journal of Energy Research · 2026-01-01

    Neema Cyril Karima, Song Jin, Quoc Hung Nguyen, Van Tung Luu, Kelvin Jenerali Nyamtara, Minkyeong Kim, Young-Woo Lee, Y S Cho, Sung Mook Choi, Sung Nam Lim, Min Ho Seo, Wook Ahn

    Read original paper ↗ ·
  4. Artificial Intelligence Empowered New Materials: Discovery, Synthesis, Prediction to Validation

    Nano-Micro Letters · 2026-01-10

    Ying Cao, Fu Hong, Jian Lü, Yuejiao Chen, Titao Jing, Xi Fan, Bingang Xu

    Read original paper ↗ ·
  5. Solubility named entity recognition using ensemble learning with enhanced model-agnostic meta-learning and dual feature encoding

    Engineering Applications of Artificial Intelligence · 2026-01-14

    Xiao Haiyang, Wu Yan, Xiaojun Xie, Jihong Zhu, Guan Lixin, Xingyuan Huang, Liu Hesheng, Li Mengshan

    Read original paper ↗ ·
  6. Predicting dielectric properties of polyetherimide-based composite via combined molecular dynamics simulation and machine learning

    Engineering Applications of Artificial Intelligence · 2026-01-23

    Yue Zhang, Yue Zhang, Zheng Gong, Changhai Zhang, Yongquan Zhang, Yongquan Zhang, Chao Yin, X. Rosalind Wang, Tiandong Zhang, Xiajie Yi, Huajie Yi, Qi Wang

    Read original paper ↗ ·
  7. AI-Driven Modeling and Optimization of 3D Graphene–MXene Hybrid Nanocomposites

    IGI Global eBooks · 2026-02-20

    Çağdaş Kızıl, Ali İhsan Kömür, Onur Karaman, Ceren Karaman

    Read original paper ↗ ·
  8. Machine Learning Assisted Development of COFs Materials as Solid Electrolytes for Lithium-Ion Batteries—A Mini Review

    World Electric Vehicle Journal · 2026-02-26

    Wenhao Xu, Jianhui Sang, Qidong Gong, Wenbin Lin, Zhihong Lin, Faheem Mushtaq, Hamza Mushtaq, Zhenyu Hong, Hong yuan Zhao

    Read original paper ↗ ·
  9. How AI-driven technological transformation advances the modernization integrated transition of energy

    Economic Analysis and Policy · 2026-03-03

    Yaobin Liu, Zenghui Zheng, Nan Deng, Tongning Li

    Read original paper ↗ ·
  10. Accelerated discovery of stable spinels for energy applications using dense neural network approach

    International Journal of Modern Physics B · 2026-03-06

    Rupam Bhaduri, S Manasa, Mani Karthik, Shanmugasundaram Sakthivel

    Read original paper ↗ ·
  11. Solid-gas thermochemical energy storage systems: A critical review

    Journal of Energy Storage · 2026-03-13

    Nasrin Aliyari, Marco S. Fernandes, Adélio Rodrigues Gaspar

    Read original paper ↗ ·
  12. Revolutionizing sustainable energy: A bibliometric analysis and review of AI applications in nano-enhanced thermal storage

    Journal of Energy Storage · 2026-04-04

    Hussein Togun, Ali Basem, Abdul Amir H. Kadhum, Hayder Ibrahim Mohammed, Azher Mouhsen Abed, Ali Eisa M. Anqi, Maher Talib Alshamkhani, Farhan Lafta Rashid, Khalifa Slimi

    Read original paper ↗ ·
  13. ML empowered supercapacitors: A new era of predictive energy storage research

    Journal of Energy Storage · 2026-04-13

    Xiaoxu Qi, Jie Wu, Hafeez Ur Rehman

    Read original paper ↗ ·
  14. From Discovery to Deliverables: Bridging the Machine Learning, Synthesis, and Characterization Gap in Nanoscale Materials

    Chemistry of Materials · 2026-05-01

    Ruyun Cai, Tianyi Gao, Fang Fang, Yang Liu

    Read original paper ↗ ·
  15. First-principles investigation of electrochemical and lithium-ion diffusion properties of LiFePO₄ with Mn/F doping and oxygen vacancy

    Journal of Energy Storage · 2026-05-05

    Yingqi Wu, Fazhan Wang, Yumeng Cai, Xinlong Niu, Xinyang Zhao, Jiaxing Zhao

    Read original paper ↗ ·
  16. From Trial‐and‐Error to Artificial Intelligence‐Guided Design of Hard Carbon for Sodium‐Ion Batteries

    Advanced Functional Materials · 2026-05-07

    Qi Wei, Y Z Liu, Jinhao Pan, X Y Liu, C Y Liu, Jiannan Qi, Bin Wang, Han Xiang Hu, Mingbo Wu

    Read original paper ↗ ·
  17. Improved clustering-multimodal feature decomposition for multi-time scale terminal voltage characterization, edge computing performance evaluation, and retirement prediction of large-capacity batteries in energy storage power stations

    Applied Energy · 2026-05-07

    L E T A O Zhou, Shunli Wang, Liya Zhang, Liangwei Cheng, Carlos Fernández, Frede Blaabjerg

    Read original paper ↗ ·
  18. Self-powered intelligent sensing networks for next-generation super airports

    Sustainable Energy Technologies and Assessments · 2026-05-26

    Haijun Yang, Lingji Kong, Zheng Fang, Hongjie Tang, Xiao Zhao, Xiaoping Wu, Zutao Zhang

    Read original paper ↗ ·
  19. Dual‐Metal Co‐Doping Strategy Enhances the Hydrogen Dissociation and Hydrogen Release Performance of LiBH 4 Assisted by Ensemble Learning

    Rare Metals · 2026-06-01

    Zishan Luo, Xi Sun, Hang Zhang, Yi Zhou, Wenhao Yan, Tao Zhang, Jiawei Li, Hong Cui, Weizhi Tian, Rong Feng, Lingxia Jin, Hongkuan Yuan

    Read original paper ↗ ·
  20. A deep-learning-based investigation on CO2 capture performance of graphene oxide-based materials

    Journal of environmental chemical engineering · 2026-07-09

    Peiyu Sun, Huimin Guo, Xin Liu, Changgong Meng

    Read original paper ↗ ·
  21. Entropy-defect synergy for dual luminescence mechanism in spinel: Time-resolved anti-counterfeiting and fingerprint visualization

    Chemical Engineering Journal · 2026-07-31

    Zemeng Pan, Shifa Wang, Jingyi Yang, Peilin Mo, Yanming Chen, Huajing Gao, Xianju Zhou, Dengfeng Li, Hua Yang, Huijun Zhang, Leiming Fang, Qingping Ding

    Read original paper ↗ ·
  22. Titanium-based lithium-ion sieves for sustainable lithium recovery from complex liquid resources: Mechanisms, engineering applications, and intelligent design

    Journal of environmental chemical engineering · 2026-08-13

    Yufei Zhang, Xin Ke, Zheng Yan, Changhong Hao

    Read original paper ↗ ·
  23. Understanding the synergistic effects of dopants and Li-Fe antisite defects in LiFePO4: linking electronic structure evolution to Li-ion transport

    Electrochimica Acta · 2026-08-20

    Yingqi Wu, Fazhan Wang, Xinlong Niu, Jiawang Chen, Zhihao Zhang, Ruikang Zhang

    Read original paper ↗ ·
  24. Aluminum-ion batteries: materials, charge storage mechanisms, and future challenges

    Journal of Energy Storage · 2026-08-28

    Anita K. Tawade, Shivaji N. Tayade, Ruoyu Hong, David Hui, Minglin Li

    Read original paper ↗ ·
  25. Miedema-based formation enthalpy criteria and strategies for optimizing hydrogen storage performance in rare-earth-magnesium hydrides: A review

    Materials Science and Engineering R Reports · 2026-09-19

    Zhuocheng Liu, Boshuo Wang, Yiming Li, Pan Gao, Ming Zhao, Fei Yang

    Read original paper ↗ ·
  26. Machine learning for predictive maintenance in energy storage systems: A systematic review of health prediction, fault diagnosis, and deployment challenges

    Journal of Energy Storage · 2026-09-22

    Muhammad Usman, Mihir Dutta, M. R. Hasan, Samira Islam Rim, Md. Zobair Al Mahmud, Md Hosne Mobarak, Faysal Ahamed Dewan Refati, Israfil Hossain Rimon

    Read original paper ↗ ·
  27. Machine Learning‐Assisted Development in Insulating Materials for High Voltage Applications

    High Voltage · 2026-09-26

    Yichen Ran, Yi Wang, Chang-Heng Li, Jingyu Deng, Jian Wang, Haochen Zuo, Chen Zhao, Qian Wang, Yi Li, Song Xiao, Zhengyong Huang, Chao Jun Wu, Zhonghui Shen, Kunming Shi, Fei LIU, Jie Chen, Jian Li, Xingyi Huang

    Read original paper ↗ ·