Papers citing Applying Machine Learning to Rechargeable Batteries: From the Microscale to the Macroscale
Machine learning descriptors for crystal materials: applications in Ni-rich layered cathode and lithium anode materials for high-energy-density lithium batteries
Journal of Materials Informatics · 2024
Ruiqi Zhang, Fangchao Rong, Genming Lai, Guangfeng Wu, Yaokun Ye, Jiaxin Zheng
Read original paper ↗ ·Interpretable Surrogate Learning for Electronic Material Generation
ACS Nano · 2024
Zhilong Wang, Sixian Liu, Kehao Tao, An Chen, Hongxiao Duan, Yanqiang Han, Fengqi You, Gang Liu, Jinjin Li
Read original paper ↗ ·A perspective on the fundamental theory of nonaqueous electrolytes for rechargeable batteries
National Science Review · 2024
Xiang Chen, Nan Yao, Zhao Zheng, Yuchen Gao, Qiang Zhang
Read original paper ↗ ·Solutions for Lithium Battery Materials Data Issues in Machine Learning: Overview and Future Outlook
Advanced Science · 2024
Pengcheng Xue, Rui Qiu, Chuchuan Peng, Zehang Peng, Kui Ding, Rui Long, Liang Ma, Qifeng Zheng
Read original paper ↗ ·Cost-Aware Bayesian Optimization for Self-Driven Condition Screening of Flow Electrosynthesis
ACS electrochemistry. · 2024
Runzhe Liang, Siyuan Zheng, Kai Wang, Zhihong Yuan
Read original paper ↗ ·Understanding the activity origin of Pd-anchored single-atom alloy catalysts for NO-to-NH3 conversion by DFT studies and machine learning
Chinese Chemical Letters · 2024
Jieyu Liu, Junze Zhang, Haigang Deng, Shuoao Wang, Shuoao Wang, Xingxing Jiang, Li Wang, Li Wang, Changhong Wang
Read original paper ↗ ·Lithium Batteries Operating at Wide Temperatures: Opportunities and Challenges
Advanced Functional Materials · 2024
Qian Chen, Zhilin Yang, Pengbo Zhai, Wenlei Luo, Yongji Gong
Read original paper ↗ ·Accelerating battery innovation: AI-powered molecular discovery
Chemical Society Reviews · 2025
Yuchen Gao, Xiang Chen, Yu‐Hang Yuan, Yao‐Peng Chen, Yi-Lin Niu, Nan Yao, Yan-Bin Gao, W.Z. Li, Qiang Zhang
Read original paper ↗ ·Advances in high-coulombic-efficiency lithium metal anodes under practical conditions in liquid electrolytes
EES batteries. · 2025
Shu‐Yu Sun, Xue‐Qiang Zhang, Xue-Yi Yan, Zhao Zheng, Qiankui Zhang, Jia‐Qi Huang
Read original paper ↗ ·Autonomous organic synthesis for redox flow batteries via flexible batch Bayesian optimization
Digital Discovery · 2025
Clara Tamura, Heather Job, Henry Chang, Wei Wang, Yangang Liang, Shijing Sun
Read original paper ↗ ·From mold to Ah level pouch cell design: bipolar all-solid-state Li battery as an emerging configuration with very high energy density
EES batteries. · 2025
Wei-Jin Kong, Chen‐Zi Zhao, Liang Shen, Jinliang Li, Yi‐Cheng Le, Xueyan Huang, Pan Xu, Jiang‐Kui Hu, Jia‐Qi Huang, Qiang Zhang
Read original paper ↗ ·Machine learning-assisted design of oxygen-containing inorganic coating materials on a separator for lithium metal anodes
Inorganic Chemistry Frontiers · 2025
Chenxi Xu, Teng Zhao, Ji Qian, Ke Wang, Tianyang Yu, Wangming Tang, Li Li, Feng Wu, Renjie Chen
Read original paper ↗ ·Principles and trends in extreme fast charging lithium-ion batteries
EES batteries. · 2025
Yuxing Yao, Lei Xu, Chong Yan, Qiang Zhang
Read original paper ↗ ·RedCat, an automated discovery workflow for aqueous organic electrolytes
Digital Discovery · 2025
Murat Cihan Sorkun, Xuan Zhou, Joannes Murigneux, Nicola Menegazzo, Ayush Kumar Narsaria, David Thanoon, Peter A. A. Klusener, Kaustubh Kaluskar, Sharan G. Shetty, Efstathios Barmpoutsis, Süleyman Er
Read original paper ↗ ·Screening of potential candidates for solid electrolyte interphase materials for lithium-ion batteries through a data-driven approach
Physical Chemistry Chemical Physics · 2025
Sadhana Barman, Utpal Sarkar
Read original paper ↗ ·Computational understanding and multiscale simulation of secondary batteries
Energy storage materials · 2025
Yan Yuan, Bin Wang, Jinhao Zhang, Bin Zheng, Stanislav S. Fedotov, Hai Bao Lu, Long Kong
Read original paper ↗ ·A novel multivariable prognostic approach for PEMFC degradation and remaining useful life prediction using random forest and temporal convolutional network
Applied Energy · 2025
Tian Zhang, Zhengmeng Hou, LI Xiao-qin, Qianjun Chen, Qichen Wang, Christian Truitt Lüddeke, Lin Wu, Xuning Wu, Sun We
Read original paper ↗ ·TELL-Me: T time-series-decomposition-based ensembled lightweight learning model for diverse battery prognosis and diagnosis
Journal of Energy Chemistry · 2025
Kun-Yu Liu, Tingting Wang, Bobo Zou, Hong‐Jie Peng, Xinyan Liu
Read original paper ↗ ·Rapid Screening Strategy of 2D Materials for Li-Ion Battery (LIB) Electrode Based on Deep Neural Networks (DNN)
ACS Applied Energy Materials · 2025
Zhi Yang, Jianping Sun, Yu Yang, Yuxin Chai, Yuyang Liu
Read original paper ↗ ·A Universal Solution for Direct Regeneration of Spent Lithium Iron Phosphate
Advanced Materials · 2025
Jie Tang, Haotian Qu, Chongbo Sun, Xiao Xiao, Haocheng Ji, Junxiong Wang, Junfeng Li, Guanjun Ji, Xuan Zhang, Hui–Ming Cheng, Guangmin Zhou
Read original paper ↗ ·A review of lithium–sulfur batteries at different working conditions: The role of ambient temperature, external force, and electromagnetic field
Materials Science and Engineering R Reports · 2025
Zheng Li, Bo‐Quan Li, Chen‐Xi Bi, Xi‐Yao Li, Meng Zhao, Qiang Zhang
Read original paper ↗ ·Utilizing Machine Learning to Advance Battery Materials Design: Challenges and Prospects
Chemistry of Materials · 2025
Souvik Manna, Poulami Paul, Surya Sekhar Manna, Sandeep Das, Biswarup Pathak
Read original paper ↗ ·Correlating Self‐Discharge and Cycling Performance of Batteries to Fasten Electrolytes Development
Batteries & Supercaps · 2025
Jiayi Zhang, Boyu Wang, Laisuo Su
Read original paper ↗ ·Insights into the doping rules of heteroatom on Ni-rich ternary cathode stability by integrating high throughput calculation and machine learning
Journal of Energy Chemistry · 2025
Yazhou Wang, Xiaoxiao Huang, Wenjing Ji, Yao Wu, Shangquan Zhao, Yong Li, Naigen Zhou
Read original paper ↗ ·Leveraging machine learning for accelerated materials innovation in lithium-ion battery: A review
Journal of Energy Chemistry · 2025
Rushuai Li, Wanyu Zhao, Ruimin Li, Chaolun Gan, Li Chen, Zhitao Wang, Xiaowei Yang
Read original paper ↗ ·High-throughput screening of Ni-rich layered cathode materials for sodium-ion batteries based on machine learning
Journal of Alloys and Compounds · 2025
Tian‐E Fan, Haoran Lei, Kai Wang, Baihua Qu
Read original paper ↗ ·AI-driven accelerated discovery of intercalation-type cathode materials for magnesium batteries
Journal of Energy Chemistry · 2025
Wenjie Chen, Zheli Lin, Xinxin Zhang, Xinxin Zhang, Hao Zhou, Yuegang Zhang
Read original paper ↗ ·Deep learning-driven detection of lithium-plating-type defects for battery manufacturing via formation and capacity grading data
Journal of Energy Chemistry · 2025
Yunfeng Huang, Hongchang Cai, Xin Lai, Yuejiu Zheng, Xuebing Han, Dongsheng Ren, Chaomin Yue, Yuebo Yuan, Mingwei Pu, Quanwei Chen, Minggao Ouyang
Read original paper ↗ ·Dual-objective optimization of lithium metal battery electrolytes via machine learning
Materials Today Energy · 2025
Jiayi Zhang, Debanjan Sarker, Matthew Beltran, Xiang Yu, Cormac Toher, Laisuo Su
Read original paper ↗ ·High quality large‐scale nickel‐rich layered oxides precursor co‐precipitation via domain adaptation‐based machine learning
InfoMat · 2025
Junyoung Seo, Taekyeong Kim, Kisung You, Youngmin Moon, Jina Bang, Waunsoo Kim, Il Jeon, Im Doo Jung
Read original paper ↗ ·Predicting ash accumulation in industrial systems using machine learning: Enhancing maintenance and operational efficiency
Particuology · 2025
Seyed Hamed Godasiaei
Read original paper ↗ ·Machine Learning-based Battery Life Detection and Photoelectrode Materials Selection for Lithium Batteries
Transactions of Tianjin University · 2025
Jianwei Lu, Tong Liu, Yimin Chen, Yuxi Ma, Junlun Cao, Kun Luo, Weiwei Lei, Dan Liu
Read original paper ↗ ·Data‐Driven Lithium Salt Design for Long‐Cycle Lithium Metal Battery
Advanced Sustainable Systems · 2025
Un Hwan Lee, Kyungju Nam, Seung Hyo Noh, Donghwi Kim, Joonhee Kang
Read original paper ↗ ·Localized feature selection augmented dual-stream fusion network for state of health estimation of lithium-ion batteries
Journal of Energy Chemistry · 2025
Zheng Wei, Ming-Wei Wu, Wu Ju, Xiaoshan Zhang, Kaichuang Fei, Qiu He, Zhonghui Shen, Zhipeng Li, Yan Zhao
Read original paper ↗ ·The evolution of low-temperature lithium metal batteries: Materials, mechanisms, and applications
Renewable and Sustainable Energy Reviews · 2025
Chenxi Yu, Bao Wang, Shumin Zheng
Read original paper ↗ ·Cognition-enhanced instruction framework: Accelerating structured battery knowledge extraction with low-parameter models
Journal of Energy Chemistry · 2025
Yuejiu Zheng, Suran Li, Zhiyong Liu, Yi Duo Wang, Dongxu Guo, Yu Wang, Xuebing Han, Minggao Ouyang
Read original paper ↗ ·Large language models for batteries
Joule · 2025
Wenhua Zuo, Huihuo Zheng, Tanjin He, Venkatram Vishwanath, Maria K. Y. Chan, Rick L. Stevens, Khalil Amine, Gui‐Liang Xu
Read original paper ↗ ·SOH estimation for lithium-ion batteries using the distribution of relaxation time and feature optimized multilayer perceptron
iScience · 2025
Fang Wang, Shiqiang Liu, Shiqin Chen, Qi Zhang, Dafang Wang, Xiaole Ma, Xiaoqian Dai
Read original paper ↗ ·Low-Temperature Electrolytes for Lithium-Ion Batteries: Current Challenges, Development, and Perspectives
Nano-Micro Letters · 2025
Zhao Yang, Limin Geng, Weijia Meng, Jiaye Ye
Read original paper ↗ ·Nanogold Empowered Energy: Oxygen Reduction and Oxygen Evolution Reactions Boost via Co Nanoclusters and NiFe‐LDH Modulation
Small Structures · 2025
Tong Liu, Jianwei Lu, Yimin Chen, Xiangqun Zhuge, Yaming Pang, Zhihong Luo, Degui Li, Yurong Ren, Kun Luo, Xinyu Li, Weiwei Lei, D.F. Liu
Read original paper ↗ ·AI-augmented electrochemical model for lithium-ion battery: Recent advances and perspectives
Journal of Energy Chemistry · 2025
Juncheng Fu, Zhengxiang Song, Jinhao Meng, Jia Guo, Kun Yang, Wenchao Liu, Le Huan
Read original paper ↗ ·Atomic-scale tracking of sodium metal-electrolyte reactions via adaptive machine learning force fields
Science China Chemistry · 2025
Tianchen Zhang, Jiamin Pei, Zhongheng Fu, Yi-Lin Niu, Yuchen Gao, Yao‐Peng Chen, Tian Zhang, Zewei Gu, Nan Yao, Suyu Jin, Liang Li, Wenxuan Fan, Xiang Chen, Dawei Zhang, Qiang Zhang
Read original paper ↗ ·Effects of Key Factors on Lithium Dendrite Dissolution and Dead Lithium Formation: A Phase-Field Simulation Study
Batteries · 2025
Shuzeng Hou, Boyang Zeng, Jingwei Wu, Yongqi Lyu, Xiayi Sun
Read original paper ↗ ·Predictive modelling of slurry viscosity using transfer learning to mitigate uncertainties in pilot-scale lithium-ion battery manufacturing process
Energy and AI · 2025
Mo'ath El‐Dalahmeh, Om Siddhapura, Geanina Apachitei, Matthew J. Capener, James Marco, Adam Todd, Keri Goodwin, Mona Faraji Niri
Read original paper ↗ ·Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches
Advanced Intelligent Discovery · 2025
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan
Read original paper ↗ ·Pre-sodiation strategies for high reversibility of hard carbon anodes: A review
Journal of Energy Chemistry · 2025
Yuqi Dong, Yanbin Ning, Lin Zhou, Shengwei Dong, Zhuomin Qiang, Kun Lin, Dalong Li, Li Guan, Shuaifeng Lou
Read original paper ↗ ·Surface Modification of Lithium Metal as an Anode in Lithium Metal‐Based Batteries
Small · 2026
Osman Goni Shovon, Ali Nosrati, S M Shaikhul Islam, Owen Cameron Bellevage, Junjie Niu
Read original paper ↗ ·Machine learning-guided deep eutectic electrolytes for high energy density and safe lithium–air batteries
eScience · 2026
Jinlu Song, Ding Ding, Lihong Chen, Heyu Xiao, Qisheng Fang, Jianli Cheng, Bin Wang
Read original paper ↗ ·Coupling Data‐Driven and Reinforcement Learning for Material Development and Device Management in Batteries
Advanced Materials · 2026
Zihao He, Zijun Wang, Yueyao Dong, Kolesnikov Aleksei Viktorovich, Shuwei Hao, Chunhui Yang, Yuanpeng Liu, Liwei Dong
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
Kwangnam Kim, Suyue Yuan, Brandon C. Wood, Liwen F. Wan
Read original paper ↗ ·