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Papers citing Utilizing Machine Learning to Advance Battery Materials Design: Challenges and Prospects

  1. Artificial Intelligence for Carbon Capture, Utilization and Storage: Technological Evolution and Systemic Integration Pathways

    SSRN Electronic Journal · 2025

    Jianhua Ma, Yongzhang Zhou, Linyan He, Xian Liu, Yijun Zheng, Yang Hong

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  2. Exploring Hybrid Electrolytes for Zn Metal Batteries

    Advanced Energy Materials · 2025

    Hao Fu, Shengyang Huang, Chao Wang, Jun Su Kim, Yu Zhao, Yutong Wu, Peixun Xiong, Ho Seok Park

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  3. Bayesian Optimization of the Experimental Parameters of Material Synthesis: Application to the Magnesioreduction of Rare-Earth-Free (Mn1–xFex)5Si3 Magnetocalorics

    Chemistry of Materials · 2025

    Sylvain Le Tonquesse, Laura Agnarelli, Swathi Sakthivel

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  4. Adaptive multi-task learning for battery health prediction: A BiLSTM framework with Bayesian optimization and dynamic task weighting

    Journal of Power Sources · 2025

    Shuhao Chen, Sicheng Wang, HangJie Zhang, Jingran Zhou, Chengyi Tu

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  5. Generative Deep Learning for Advanced Battery Materials

    Batteries & Supercaps · 2025

    D. Rajagopal, Adrian Cierpka, Britta Nestler, Arnd Koeppe

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  6. Real-time heavy metal detection in water using machine learning-augmented CNT sensors via truncated factorization nuclear norm-based SVD

    Microchemical Journal · 2025

    Badria Sulaiman Alfurhood, Mani Sri Madhuri Danthuluri, Sachin Jadhav, B. Mouleswararao, N.V. Phani Sai Kumar, Mohammad Taj

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  7. Intelligent fault detection in battery systems: a machine learning approach with transformer-enhanced multi-modal Sensing

    Electric Power Systems Research · 2025

    A. Santhi Mary Antony, K. Meenakshi Sundaram, Chandrasekharan Raman, Gajula Ramana Murthy

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  8. Covalent organic framework-based solid polymer electrolytes for metal-ion batteries: pioneering the future of DFT, MD, and ML techniques

    Energy storage materials · 2025

    Sadegh Kaviani

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  9. Design optimization of electric-fish-inspired power sources using statistical and machine learning approaches

    Journal of Power Sources · 2025

    Haley M. Tholen, Ahmed S. Ibrahim Mohamed, Valentino I. Wilson, Derek M. Hall, Joseph S. Najem

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  10. Topology optimization framework for 3D structural design based on micropolar elasticity and enhanced by machine learning

    Engineering Structures · 2025

    Hongwei Zhou, Mohamed Shaat, X.-L. Gao

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  11. Multiscale Simulation Drives the Rational Design of Lithium‐Sulfur Batteries

    Advanced Sustainable Systems · 2025

    Ruiqing Ye, Li Wang, Fengmin Jin, Quan‐Hong Yang, Wei Zhong Lv

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  12. Artificial Intelligence as a Materials-integrated Brain: Revolutionizing Organic Semiconductor Design and Aptamer-OFET Biosensing in the Post-silicon Era

    Chemical Research in Chinese Universities · 2025

    Muhammad Majid, Shanshan Cheng

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  13. Energy Materials: Synthesis and Characterizations

    Springer eBooks · 2025

    Mayankkumar Lakshmanbhai Chaudhary, Rutu H. Patel, Ram Krishna Gupta

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  14. 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

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  15. Molecular dynamics and machine learning framework for predicting ion transport and mechanical properties of ionic liquid@polyvinylidene fluoride gel polymer electrolyte

    Journal of Industrial and Engineering Chemistry · 2025

    Sadegh Kaviani

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  16. Recent progress in data-driven approaches for single-atom catalysts in lithium-sulfur batteries

    Nano Materials Science · 2025

    Zeyi Wang, Xinrui Linghu, Kai Cui, Qiuyu Zhang, Tianshuai Wang

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  17. High-entropy alloy electrocatalysts for water splitting: A systematic review with perspectives on machine learning and future design strategies

    Fuel · 2025

    Sumaira Naz, Ayesha Saeed, Asif Hussain Khoja, Hina Younis, Hira Azeem, Nida Naeem, Mustafa Anwar, Mutawara Mahmood Baig

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  18. AI-driven exploration and design of inorganic battery materials

    Renewable and Sustainable Energy Reviews · 2025

    Xuesong Wang, Nan He, Zidong Zhou, Jing Chen, Abdul Mateen, Yinfei Shao, Xiang Chen, Chengbin Liu, Altaf Mujear, Jianwei Zhang, Feng Liu, Zhihao Bao

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  19. Biodegradable and bioresorbable rechargeable batteries: chemistries, AI-driven material discovery, and emerging applications

    Materials Horizons · 2026

    Bhavya Jain, Amay Jairaj Bandodkar

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  20. Data-driven discovery of a zero-strain cathode with dynamic bond-switching for solid-state zinc-ion batteries

    Journal of Materials Chemistry A · 2026

    Ping Li, Muxiyele, Lixiang Chen, Jiang Zhu, Hao Yang, Qiushi Wang

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  21. Energy Materials: Synthesis and Characterizations

    Springer eBooks · 2026

    Mayankkumar L. Chaudhary, Rutu H. Patel, Ram Krishna Gupta

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  22. Integrating Density Functional Theory with Deep Neural Networks for Accurate Voltage Prediction in Alkali‐Metal‐Ion Battery Materials

    Small Methods · 2026

    Sk Mujaffar Hossain, Namitha Anna Koshi, Seung‐Cheol Lee, G.P Das, Satadeep Bhattacharjee

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  23. Interfacial design principles of two-dimensional graphene-based heterostructures for lithium- and sodium-ion battery anodes

    Journal of Materials Chemistry A · 2026

    Javed Rehman, Rabia Shahzad, Talha Zafer, Umer Younis, Van An Dinh

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  24. Probing the composition space of V, Fe, and Ti substituted sodium manganese oxides for next-generation sodium-ion cathodes

    Journal of Materials Chemistry A · 2026

    Eden Marks, Lawrence McCaul, Anna Trangmar, Adam Pestana Motala, Marco Sacchi, Vlad Stolojan, M. Felipe-Sotelo, Bahman Amini Horri, Robert C. T. Slade, Daniël Commandeur

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  25. Machine Learning‐Guided Design of a Flexible Highly Conductive Additive‐Free Polymer Cathode

    Angewandte Chemie · 2026

    Yan Zhang, Xuelian Liu, Yichen Wei, Weiran Wang, Lu Bai, Alexandru Vlad, Junzhong Wang, Jiande Wang

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  26. Density Functional Theory–Machine Learning-Assisted Insightful Identification of Next-Generation High-Voltage Organic Dual-Ion Batteries

    Chemistry of Materials · 2026

    Poulami Paul, Souvik Manna, Sandeep Das, Biswarup Pathak

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  27. Deep learning-based battery health prediction for enhancing electric vehicle performance

    Scientific Reports · 2026

    Tawfikur Rahman, Nibedita Deb, Md. Moniruzzaman, Hanan Abdullah Mengash, Noorlindawaty Md Jizat, Abdullah Al Mahfazur Rahman, Samir Salem Al‐Bawri

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  28. Application of machine learning to rechargeable aqueous zinc-ion batteries: Advancements and prospects

    Journal of Energy Storage · 2026

    Hengbo Jia, Ziyi Cheng, Chao Tan, Yuanyuan Yang, Yue Shi, Yaning Zhou, Yongqiang Ji, Dan Zhang, Le Li

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  29. Artificial intelligence–driven evolution and system integration for geological carbon capture, utilization, and storage

    Marine Geoscience and Energy Resources · 2026

    Jianhua Ma, Yongzhang Zhou, Luhao He, Xian Liu, Yijun Zheng, Yang Hong

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  30. Emerging nanomaterials for next-generation automotive energy storage systems

    Energy Reports · 2026

    Mehedi Hasan Manik, Muhammad Sharjeel Ali, Md. Monirul Islam, Nahid Hasan Jihad, Md. Zisat Hossen, Md Saifuddin Rakib, Nayem Hossain

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  31. Recent advances, challenges and future perspectives of polycyclic aromatic hydrocarbons as materials for metal-ion batteries – A comprehensive review

    Progress in Materials Science · 2026

    Ilya V. Chepkasov, Stanislav A. Evlashin, Alexander G. Kvashnin

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  32. Stabilizing Electrode/Electrolyte interphases for Lithium-Ion batteries at High-Temperature through integrated electrolyte engineering and surface modification

    Materials Today · 2026

    Leqiong Xie, Junchen Zhou, Da Wang, Yunyong Li, Xiangming He, Yingqiang Wu, Yida Deng

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  33. A Perspective on Crystalline Cathode Materials for Aqueous Mn-Ion Batteries

    Crystal Growth & Design · 2026

    Sai Wang, Zhanshuo Li, Wenhui TONG

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  34. Crystal Water Engineering in Electrode Materials: Decoding Structure‐Property Dynamics for Advanced Energy Storage Devices

    Advanced Energy Materials · 2026

    Yichong Kong, Keyu Zhang, Qing Zhao, Zhongliang Qi, Juan Yang, Xiangyang Zhou, Bin Yang, Yaochun Yao, Yong Lei

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  35. Machine learning-based assessment technique of state-of-health, remaining useful life, and maximum operating temperature for lithium-ion battery for eVTOL aircraft

    Automatika · 2026

    Hasan Çınar, Süleyman Tunçel

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  36. Rational design of MXene composites for high-performance potassium-ion batteries

    Journal of Energy Storage · 2026

    Salman Khan, Abdullah Ayaz, Umme Kalsoom, Syed Israr Shah, Muffarih Shah, Awais Ali Qarni, Muhammad Khan, Mohamed Hassan Eisa, Zainuriah Hassan, Nasir A. Ibrahim, Ashraf A. Qurtam

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  37. Artificial intelligence in advanced polymer manufacturing

    MRS Communications · 2026

    Jihua Chen, Rigoberto C. Advíncula

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  38. A Deep Learning Approach for OER Electrocatalyst Kinetics Prediction

    Journal of Chemometrics · 2026

    Umme Javaria, Manzar Sohail, Tahir Mehmood, Ayesha Nazuk, Aqsa Shabbir

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  39. Regulatory strategies for lithium-sulfur batteries: Integration of hollow porous carbon with single/dual-atom catalysts

    Coordination Chemistry Reviews · 2026

    Shaolong Zhang, Qian Zhang, Minchen Hou, Bin Wei, Yanliang Zhai, Dong Zhai, Xin Ao, Jing Huang

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  40. Hollow Ti3C2Tx-MXene nanosphere electrochemical sensor coupled with LSTM time-series modeling for rapid detection of ascorbic acid in sweat

    Microchemical Journal · 2026

    Haozi Lu, Ziyi Wu, Meiqing Yang, Jifei Yang, Ye Li (290115), Jingrui Zhang, Guangsheng Zeng, Can Hu, Wei Zhou, Song Liu (9858)

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  41. Electrolyte Engineering in Aqueous Zinc‐Ion Batteries: From Solvation Chemistry to Interface Stabilization

    ChemElectroChem · 2026

    Zhenyu Li, Xiao Huang, Dongyu Liu, Bowei Wang, Hao Li, Jing Zhang, Hongzhen Lin, Jian Wang, Lei Zhou

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  42. Transition metal halides for high-performance and sustainable solid-state batteries

    Materials Today · 2026

    Keqi Chen, Songjia Kong, Shuo Wang, Shumin Zhang, Yanguang Li, Feipeng Zhao

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  43. Magnesium-ion battery cathode materials: Artificial intelligence applications, research advances, and industrialization

    Journal of Magnesium and Alloys · 2026

    Ziyin You, Liang Fu, Guangsheng Huang, Shuiai Luo, Nanxiang Wang, X Chen, Jingfeng Wang, Xiaoyuan Zhou, Fusheng Pan

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  44. AI-driven sustainable supercapacitors for advanced renewable energy storage applications

    Hybrid Advances · 2026

    Nahid Tyagi, Nidhi, Gaurav Sharma, Rohit Srivastava, Manoj Kumar Singh, Ranjith Krishna Pai

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  45. Data-driven discovery and first-principles design of novel cathode materials for sodium-ion batteries

    Energy and AI · 2026

    Huu Doanh Nguyen, Minh Dang Do, Que Chi Chau, Tien-Lam Pham, Phi Long Nguyen, Kostya S. Novoselov, Laurent El Ghaoui, Phuong Nam Le Pham, V T Phung

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  46. Computational and ML methods in MOF based supercapacitors - from mechanistic understanding to future materials design

    Journal of Materials Science Materials Theory · 2026

    Achal Siddharth Fulmali, Himanshu Sekhar Panda

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  47. Unlocking rechargeable battery materials with artificial intelligence: From data-descriptor-model workflows to closed-loop discovery

    Journal of Energy Chemistry · 2026

    Yang Zhao, Mengjun Li, Limin Geng, Weijia Meng, Jiaye Ye

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  48. Protective interphases and safety enhancement in high-energy-density batteries: A critical review

    Results in Engineering · 2026

    G. Ramkumar

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  49. Review of AI-driven discovery of cathode anode and electrolyte materials for advancing sodium-ion batteries

    Discover Industrial Chemistry and Materials · 2026

    Zhong Hu

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  50. Tailoring Lithium‐Rich NMC Cathode Materials for High‐Energy Lithium‐Ion Batteries

    Batteries & Supercaps · 2026

    Nishi Keshari, Shobhit Soni, Prajnashree Panda, Katchala Nanaji

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