Papers citing Machine learning in energy storage materials
Integrated micro thermoelectric devices with self-power supply and temperature monitoring: Design and application in power grid early warning
Applied Thermal Engineering · 2024-03-22
Yutian Liu, Dongwang Yang, Jianan Lyu, Junhao Li, Zhenming Li, Mingyang Liu, Wei Liu, Zhigang Ren, Hongjing Liu, Yonggao Yan, Xinfeng Tang
Read original paper ↗ ·Ultrafast discharge properties and enhanced energy density in lead‐free NaNbO 3 ‐based relaxor ferroelectric ceramics
Journal of the American Ceramic Society · 2024-04-10
Liran Yuan, Shuai Fu, Hua Hao, Xiangyu Meng, Minghe Cao, Zhonghua Yao, Hanxin Liu
Read original paper ↗ ·Advanced ceramics with integrated structures and functions: Machine learning prediction and experimental verification
Ceramics International · 2024-04-12
Xiao Zong, Shuangshuang Wu, Shuangshuang Wu, Kunji Lin, Jintao Zhang, Yehua Li, Donglin Lu, Xin Deng, Sheng‐Guo Lu, Jihua Qiu, Yuanzhi Shao, Shanghua Wu, Shanghua Wu
Read original paper ↗ ·Exploring the Core-shell Structure of BaTiO3-based Dielectric Ceramics Using Machine Learning Models and Interpretability Analysis
Journal of Wuhan University of Technology-Mater Sci Ed · 2024-06-01
Jiale Sun, Peifeng Xiong, Hua Hao, Hanxing Liu
Read original paper ↗ ·Generative learning facilitated discovery of high-entropy ceramic dielectrics for capacitive energy storage
Nature Communications · 2024-06-10
Wei Li, Zhonghui Shen, Run‐Lin Liu, Xiaoxiao Chen, Mengfan Guo, Jin-Ming Guo, Hua Hao, Yang Shen, Hanxing Liu, Long‐Qing Chen, Ce‐Wen Nan
Read original paper ↗ ·AI for dielectric capacitors
Energy storage materials · 2024-07-01
Run‐Lin Liu, Jian Wang, Zhong-Hui Shen, Yang Shen
Read original paper ↗ ·Deep-learning enabled atomic insights into the phase transitions and nanodomain topology of lead-free (K,Na)NbO3 ferroelectrics
Science China Materials · 2024-07-05
Xu Zhang, Bei Li, Ji Jun Zou, Hanxing Liu, Ben Xu, Kai Liu
Read original paper ↗ ·Applying Machine Learning to Design Delicate Amorphous Micro-Nano Materials for Rechargeable Batteries
Energy storage materials · 2024-07-08
Zheng Tian, Zhongning Huang, Huaiyun Ge, Pengfei Hu, Xiaoyu Fan, Binbin Jia
Read original paper ↗ ·Advanced ceramics in energy storage applications: Batteries to hydrogen energy
Journal of Energy Storage · 2024-07-30
Kawaljit Singh Randhawa
Read original paper ↗ ·Predicting ballistic resistance based on the mechanical properties of armored ceramics
Journal of Materials Research and Technology · 2024-08-13
Rui An, Yangwei Wang, Jiawei Bao, Bingyue Jiang, Huanwu Cheng, Xingwang Cheng, Fuchi Wang
Read original paper ↗ ·Predicting battery applications for complex materials based on chemical composition and machine learning
Computational Materials Science · 2024-09-09
Zixin Zhuang, Amanda Susan Barnard
Read original paper ↗ ·Database of ternary amorphous alloys based on machine learning
Chinese Physics B · 2024-11-05
Xuhe Gong, Ran 然 Li 李, Ruijuan Xiao, Tao 涛 Zhang 张, Hong Li
Read original paper ↗ ·Materials selection of non-metallic glasses for planar solid-oxide fuel cell sealants
Ceramics International · 2024-11-30
Camilo Augusto Fernandes Salvador, Jéssica Santos Rego, Thiago Lopes, Júlio Romano Meneghini, Nigel Peter Brandon, Daniela Andrade Damasceno
Read original paper ↗ ·Property Prediction for Complex Compounds Using Structure-Free Mendeleev Encoding and Machine Learning
Journal of Chemical Information and Modeling · 2024-12-12
Zixin Zhuang, Amanda Susan Barnard
Read original paper ↗ ·Recent trends of machine learning on energy storage devices
Next research. · 2024-12-25
Arpit B. Mendhe, Himanshu Sekhar Panda
Read original paper ↗ ·Enhanced design optimization of micro-thermoelectric cooler in optical module
Solid State Sciences · 2025-01-11
Yutian Liu, Dongwang Yang, Kechen Tang, Jianan Lyu, Zinan Zhang, Chenyang Li, Yu Zheng, Yongzhong Jia, Junhao Li, Yonggao Yan
Read original paper ↗ ·Application of machine learning in adsorption energy storage using metal organic frameworks: A review
Journal of Energy Storage · 2025-01-13
Nokubonga P. Makhanya, Michael Kumi, Charles Mbohwa, Bilainu Obozokhai Oboirien
Read original paper ↗ ·Lead-free KNN-based ceramics with enhanced pyroelectric properties and good temperature stability via constructing phase boundary
Journal of the European Ceramic Society · 2025-02-13
Yulan Liao, Cong Su, Hua Hao, Leimin Wang, Zhonghua Yao, Minghe Cao, Chenxin Shen, Hanxing Liu
Read original paper ↗ ·Machine Learning-Assisted Accelerated Research of Energy Storage Properties of BaTiO3–BiMeO3 Ceramics
ACS Sustainable Chemistry & Engineering · 2025-02-17
Jian Liu, Peifeng Xiong, Changjiao Li, Hua Hao, Hanxing Liu
Read original paper ↗ ·High-entropy electromagnetic functional materials: From electromagnetic genes to materials design
Materials Science and Engineering R Reports · 2025-03-28
Tingting Liu, Luyang Li, Luyang Li, Peng Gao, Lin Li, Lin Li, Mao‐Sheng Cao
Read original paper ↗ ·Data-driven design of electrolyte additives supporting high-performance 5 V LiNi0.5Mn1.5O4 positive electrodes
Nature Communications · 2025-04-10
Bingning Wang, Hieu Anh Doan, Seoung‐Bum Son, Daniel P. Abraham, Stephen E. Trask, Andrew N. Jansen, Kang Xu, Chen Liao
Read original paper ↗ ·Prediction of specific capacitance of activated carbon electrode for energy storage device by machine learning based approach
Journal of Energy Storage · 2025-04-14
Stuti Shrivas, Amarish Dubey
Read original paper ↗ ·A guided review of machine learning in the design and application for pore nanoarchitectonics of carbon materials
Materials Science and Engineering R Reports · 2025-05-02
Chuang Wang, Xingxing Cheng, Kai Luo, K. Nandakumar, Zhiqiang Wang, Meng Ni, Xiaotao Tony Bi, Jiansheng Zhang, Chunbo Wang
Read original paper ↗ ·Machine learning applications in energy systems: current trends, challenges, and research directions
Energy Informatics · 2025-05-07
Saad Aslam, Pyi Phyo Aung, Ahmad Sahban Rafsanjani, Anwar P. P. Abdul Majeed
Read original paper ↗ ·Graded density impactor design via machine learning and numerical simulation: Achieve controllable stress and strain rate
Defence Technology · 2025-05-08
Yahui Huang, Ruizhi Zhang, Shanpeng Liu, Jian Peng, Yong Liu, Han Chen, Jian Zhang, Guoqiang Luo, Qiang Shen
Read original paper ↗ ·AI ‐Driven Discovery of High Performance Polymer Electrodes for Next‐Generation Batteries
Journal of Polymer Science · 2025-06-16
Subhash V. S. Ganti, Lukas Wölfel, Christopher Kuenneth
Read original paper ↗ ·Applications of AI in Modern/Smart Power Grids: A Short Review
International Conference on Smart and Sustainable Technologies (SpliTech) · 2025-06-16
Samir Avdaković, Maja Muftić Dedović, Emina Hasković, Zakira Jašarević, Aida Žugor
Read original paper ↗ ·Machine learning for hydrogen storage applications: An exploration of the current literature
International Journal of Hydrogen Energy · 2025-07-01
Caio Bezerra Souto Maior, Sandrely Pereira da Silva, Isis Didier Lins, Márcio José das Chagas Moura, Enrique López Droguett
Read original paper ↗ ·Enhanced breakdown strength and energy storage density of MgO modified (Bi0.5Na0.5)0.6(Ba0.3Sr0.7)0.4TiO3 ceramics fabricated by spark plasma sintering
Ceramics International · 2025-07-04
Jiamou Wu, Dongxu Li, Zong‐Yang Shen, Zhipeng Li, You Zhang, Yan Li, Yunxuan Xu
Read original paper ↗ ·Predicting unmeasured asymmetry time spectra in μ SR experiments using Random Forest
Journal of Magnetism and Magnetic Materials · 2025-07-05
K.F. Chin, M.R. Omar, Tiem Leong Yoon, Yutaka Komiyama, Dita Puspita Sari, Wan Nurfadhilah Zaharim, Tomi Ohtsuki, Tadashi Adachi, T. Goto, Isao Watanabe
Read original paper ↗ ·Multiscale Modulation for Enhanced Breakdown Strength and Relaxation Performance in Bi0.5Na0.5TiO3-Based Ferroelectric Films
ACS Sustainable Chemistry & Engineering · 2025-07-10
Shuo Zhang, Hua Hao, Rui Huang, Minghe Cao, Zhonghua Yao, Hanxing Liu
Read original paper ↗ ·Recent advances in elevated-temperature flexible composite dielectrics for energy storage applications
Microstructures · 2025-07-21
Liang Zhao, Fan Zhang, Hailong Hu
Read original paper ↗ ·Key aspects of sustainable and high-performance K-ion batteries: A machine learning approach
Journal of Power Sources · 2025-08-28
Kagan Yüksel, Damla Eroğlu, Ramazan Yıldırım
Read original paper ↗ ·Machine learning in X-ray diffraction for materials discovery and characterization
Matter · 2025-09-01
Connor Davel, Nazanin Bassiri‐Gharb, Juan‐Pablo Correa‐Baena
Read original paper ↗ ·Machine Learning‐Driven Ultra‐High Energy Storage Performance in Ferro‐Superparaelectric Capacitors
Advanced Functional Materials · 2025-09-02
Zixiong Sun, Liming Diwu, Ruyue Gao, Peiyao Sun, Hongmei Jing, Sizhao Huang, Ye F. Tian, Zhuo Wang, Li Jin, Daniel Qi Tan
Read original paper ↗ ·Optimized energy storage performance in HZO3ZO12 thin films through modulation of deposition temperature and film thickness
Materialia · 2025-09-27
Chengfeng Jiang, Jinwang Sun, Haiyan Chen, Lei Liu, Chuanchang Li, Dou Zhang
Read original paper ↗ ·Multi-matrix co-optimization and artificial neural network-assisted property prediction of carbon fiber reinforced friction materials
Tribology International · 2025-10-12
Peng Cheng, Jie Fei, Lehua Qi, Zhaoxi Gou, Tengyang Zhang, Ying Xia, Wenshan Wang, Hejun Li
Read original paper ↗ ·Recent advances in the high entropy materials for advanced energy storage with machine learning
Materials Reports Energy · 2025-10-17
Xin Tong, Kaifang Sun, Hao Ye, Lin Cao, Jinliang Zhuang, Juan Tian, Xinxing Zhan
Read original paper ↗ ·Research on the Variation Law of Resistivity of Composite Insulating Materials under Multiple Physical Fields
Journal of Electronic Materials · 2025-12-03
Shuai Zhou, Shanghe Liu, Xiaofeng Hu, Hongfei Li, Ming Wei, Jianping Zhang, Lei Wang, Yingying Wang
Read original paper ↗ ·Multi-temporal forecasting framework for net-zero energy management in cold climates via synergistic hydrogen–battery storage shifting
Energy · 2025-12-23
Aminhossein Jahanbin
Read original paper ↗ ·The prediction of energy storage parameters for (Ba0.85Ca0.15) (Ti0.9Zr0.1) O3 ceramic using artificial neural networks
Ceramics International · 2026-01-13
Dina A. Naser, Abd El-razek Mahmoud, Mohamed H. Essai Ali, G.A. Gamal
Read original paper ↗ ·Molecular property prediction: Input types and information processing in machine learning models
Results in Engineering · 2026-01-24
Muhammed Thameem, Obaid Khaleifah Alhmoudi, Ahmad Al Salloum, Naeema Al Darmaki, Ali Elkamel, Ali AbdulKareem AlHammadi
Read original paper ↗ ·Superior Energy‐Storage Performance Enabled by Machine Learning Accelerated Composition Design for Lead‐Free Antiferroelectrics
Small · 2026-02-10
Feng Li, Liang Sun, Zongyuan Zhang, Xuan Wang, He Qi, Yannan Bin, Jie Li, Yacheng Yang, Yonghao Xu, Siyu Chen, Long Ma, Lei Shan, Li‐Feng Zhu, Chunchang Wang, Jiwei Zhai
Read original paper ↗ ·Soluble‐Salt‐Template Synthesis of Nanosheets With Tunable Two‐/Three‐Dimensional Architectures for Electrochemical Energy Storage and Conversion
Angewandte Chemie International Edition · 2026-02-22
Jie Zhou, Yihao Cheng, Bingxu Chen, Chunsheng Shi, Fang He, Naiqin Zhao, Chunnian He
Read original paper ↗ ·Soluble‐Salt‐Template Synthesis of Nanosheets With Tunable Two‐/Three‐Dimensional Architectures for Electrochemical Energy Storage and Conversion
Angewandte Chemie · 2026-02-24
Jingwen Zhou, Yihao Cheng, Bingxu Chen, Chunsheng Shi, Fang He, Naiqin Zhao, Chunnian He
Read original paper ↗ ·Atomic‐Scale Intermediate Polarization States Enable Superb Energy Storage in NaNbO 3 Ceramics via Machine Learning
Advanced Functional Materials · 2026-04-29
Ya Yang, Hongyu Yang, Peng Wang, Cui Yawen, Jiarong Lv, D.Y. Lin, J J Liu, Tengfei Hu, Genshui Wang, Huajie Luo, Weiwei Li, Zhongbin Pan
Read original paper ↗ ·Data-driven State-of-Charge Estimation for Supercapacitor Balancing Systems
Youth Academic Annual Conference of Chinese Association of Automation (YAC) · 2026-05-01
Jiali Deng, Heng Li, Xiaoyang Chen, Yongjie Liu, Fu Jiang
Read original paper ↗ ·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 ↗ ·Optimisation of Equipment Maintenance Strategies Based on Deep Learning
Unknown journal · 2026-05-08
Yongqiang Du
Read original paper ↗ ·Prediction of doped silicon phases for enhanced lithium-ion battery anodes: Exploring the superior potential of C, N, and F doping
Materials Today Communications · 2026-07-01
Samson Singo, Katlego Phoshoko, Tshidi Mogashoa, Phuti Esrom Ngoepe, Raesibe Sylvia Ledwaba
Read original paper ↗ ·