Papers citing Machine learning in energy storage material discovery and performance prediction
Insights on the rate performance of polyaniline supercapacitors by integrated mathematical modeling and machine learning
Journal of Materials Chemistry A · 2024
Elham Rahmanian, Rasoul Malekfar, Ali Sajedi‐Moghaddam
Read original paper ↗ ·Review of progress in calculation and simulation of high-temperature oxidation
Progress in Materials Science · 2024
Dongxin Gao, Zhao Shen, Kai Chen, Xiaofeng Zhou, Liu Hong, Jingya Wang, Yangxin Li, Zhixiao Liu, Huiqiu Deng, William Yi Wang, Xiaoqin Zeng
Read original paper ↗ ·A Comprehensive Review of the Current Status of Smart Grid Technologies for Renewable Energies Integration and Future Trends: The Role of Machine Learning and Energy Storage Systems
Energies · 2024
Mahmoud Mohammadnezhad Kiasari, Mahdi Ghaffari, Hamed H. Aly
Read original paper ↗ ·Density Functional Theory and Machine Learning of Transition Metals in Mo2C for Gas Sensors
ACS Applied Nano Materials · 2024
Weiguang Huang, Zhongzhou Dong, Long Lin
Read original paper ↗ ·Advances in multi-element doping of LiFePO4 cathode material for capacity enhancement in Li-ion batteries
Journal of Power Sources · 2024
Kamila Akhmetova, Fail R. Sultanov, Almаgul Mentbayeva, Nurzhan Umirov, Zhumabay Bakenov, Batukhan Tatykayev
Read original paper ↗ ·Review of computational advances in tailoring magnesium-hydrogen interactions: Atomistic simulations meet machine learning
International Journal of Hydrogen Energy · 2024
Katarina Batalović, Bojana Paskaš Mamula, Mirjana Medić Ilić, Bojana Kuzmanović, Jana Radaković, Branislav Stanković, Nikola Novaković
Read original paper ↗ ·Machine Learning in Solid‐State Hydrogen Storage Materials: Challenges and Perspectives
Advanced Materials · 2024
Panpan Zhou, Qianwen Zhou, Xuezhang Xiao, Xiulin Fan, Yongjin Zou, Lixian Sun, Jinghua Jiang, Dan Song, Lixin Chen
Read original paper ↗ ·Recent trends of machine learning on energy storage devices
Next research. · 2024
Arpit B. Mendhe, Himanshu Sekhar Panda
Read original paper ↗ ·Adaptive subspace Bayesian optimization over molecular descriptor libraries for data-efficient chemical design
Digital Discovery · 2025
Farshud Sorourifar, Thomas Banker, Joel A. Paulson
Read original paper ↗ ·Challenges and advances in redox flow batteries utilizing sustainable and cost-effective non-vanadium active materials
Journal of Materials Chemistry A · 2025
Wonmi Lee, Gyunho Park, Mingyu Shin, Dominik Emmel, Daniel Schröder, Yongchai Kwon
Read original paper ↗ ·Data-driven design and experimental validation of high-precision Ni–Co bimetallic compound-based pseudocapacitor models
Journal of Materials Chemistry A · 2025
Li Zhang, Zhuo Zhao, Tianhui Dang, Xiao Xiang Yang, Yongzhi Lan, Rui Cao
Read original paper ↗ ·DLS-based optimization of ZnS–CoS nanoparticles with enhanced energy and power density for supercapacitor applications and its validation by AI models
Materials Advances · 2025
Hafeez Ur Rehman, Hamza Khan, Zeeshan Abbasi, Lotfi Ben Tahar, Rafaqat Ali Khan, Amir Waseem, Ahson Jabbar Shaikh
Read original paper ↗ ·Predicting neutron experiments from first principles: a workflow powered by machine learning
Journal of Materials Chemistry A · 2025
Eric Lindgren, Adam Jackson, Erik Fransson, Esmée Berger, Goran Škoro, Svemir Rudić, Rastislav Turányi, Sanghamitra Mukhopadhyay, Paul Erhart
Read original paper ↗ ·PVDF-based solid polymer electrolytes for lithium-ion batteries: strategies in composites, blends, dielectric engineering, and machine learning approaches
RSC Advances · 2025
Khizar Hayat Khan, Abdul Haleem, Sajal Arwish, Afzal Shah, Hazrat Hussain
Read original paper ↗ ·Sequential construction of stable nitrogen–oxygen compounds using high-throughput quantum mechanical calculations and customized machine learning model
Journal of Materials Chemistry A · 2025
Chenyue Wang, Lei Zhang, Chuanyue Chen, Kaile Dou, Jinya Zhang, Chongyang Li, Michael Gozin, Weibo Zhao, Chunlin He, Siping Pang
Read original paper ↗ ·Zinc Sulfide Decorated N-doped Porous Carbon on reduced Graphene Oxide-Coated Separators for Suppressing Shuttle Effect in High-Performance Lithium-Sulfur Batteries
SSRN Electronic Journal · 2025
Neema Cyril Karima, Song Jin, Quoc Hung Nguyen, Van Tung Luu, Kelvin Jenerali Nyamtara, Min-Kyeong Kim, Young‐Woo Lee, Younghyun Cho, Sung Mook Choi, Sung Nam Lim, Min Ho Seo, Wook Ahn
Read original paper ↗ ·Unlocking new horizons, challenges of integrating machine learning to energy conversion and storage research
Indian Chemical Engineer · 2025
Muthuraja Velpandian, Suddhasatwa Basu
Read original paper ↗ ·Application of machine learning in adsorption energy storage using metal organic frameworks: A review
Journal of Energy Storage · 2025
Nokubonga P. Makhanya, Michael Kumi, Charles Mbohwa, Bilainu Obozokhai Oboirien
Read original paper ↗ ·Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials · 2025
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi
Read original paper ↗ ·Deep-learning approach for developing bilayered electromagnetic interference shielding composite aerogels based on multimodal data fusion neural networks
Journal of Colloid and Interface Science · 2025
Chenglei He, Liya Yu, Yun Jiang, Lan Xie, Xiaoping Mai, Peng Ai, Bai Xue
Read original paper ↗ ·Role of artificial intelligence in the design and discovery of next-generation battery electrolytes
Chemical Physics Reviews · 2025
Manikantan R. Nair, Tribeni Roy
Read original paper ↗ ·Enhancing energy materials with data-driven methods: A roadmap to long-term hydrogen energy sustainability using machine learning
International Journal of Hydrogen Energy · 2025
Cheng Li, Jianjun Ma, Des Gibson, Yijun Yan, Muhammad Shahzad Haroon, Mehak Bi Bi
Read original paper ↗ ·Operational and Maintenance Challenges of Energy Storage Systems in Microgrid
IEEE Conference on Technologies for Sustainability · 2025
Amrita Gupta, Mohit Jaiswal
Read original paper ↗ ·Machine learning applications in energy systems: current trends, challenges, and research directions
Energy Informatics · 2025
Saad Aslam, Pyi Phyo Aung, Ahmad Sahban Rafsanjani, Anwar P. P. Abdul Majeed
Read original paper ↗ ·Comprehensive machine learning approaches for modelling the state of charge of lithium-ion batteries
Journal of Power Sources · 2025
Mitchell Rae, Michela Ottaviani, Dominika Capková, Tomáš Kazda, Luigi Jacopo Santa Maria, Kevin Michael Ryan, Stefano Passerini, Mehakpreet Singh
Read original paper ↗ ·Customized large-scale model for human-AI collaborative operation and maintenance management of building energy systems
Applied Energy · 2025
Siliang Chen, Xinbin Liang, Liu Ying, Xi-Lin Li, Xinqiao Jin, Zhimin Du
Read original paper ↗ ·Development and optimization of lithium-ion sieves through machine learning in complex brine systems
Separation and Purification Technology · 2025
Birong Yan, Yimin Shi, Shengkai Liu, Wei Wang, Zhichen Ba, Huiling Li, Jing Wang, Zefang Xiao, Tai Peng, Daxin Liang, Yanjun Xie
Read original paper ↗ ·High-temperature experiments and simulation methods for oxidation behavior research of thermostructural materials
Composites Part A Applied Science and Manufacturing · 2025
Yongsheng Gu, Yanfei Chen, Shengping Shen, Daining Fang
Read original paper ↗ ·Predicting unmeasured asymmetry time spectra in μ SR experiments using Random Forest
Journal of Magnetism and Magnetic Materials · 2025
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 ↗ ·AI-Empowered Electrochemical Sensors for Biomedical Applications: Technological Advances and Future Challenges
Biosensors · 2025
Yafeng Liu, Xiaohui Liu, Xuemei Wang, Hui Jiang
Read original paper ↗ ·Statistics in enabling 2D materials: Optimization, predictive modelling, and data-driven discovery
Materials Today Physics · 2025
Johnson Kehinde Abifarin, Yuerui Lu
Read original paper ↗ ·Accelerating the Discovery of Low-Dielectric Polyimides Based on Interpretable Machine Learning
ACS Applied Polymer Materials · 2025
Rongrong Zheng, Wenjia Huo, Boyang Liang, Xiang Xia Wu
Read original paper ↗ ·Machine learning-assisted investigation of strain effects on clustered anti-perovskite solid-state electrolytes: A case of study about Li₃OBH₄ using DFT calculations
Materials Today Communications · 2025
Jiacheng Li, C. X. Lin, Lin Zhang, Yi Dong
Read original paper ↗ ·The role of computational materials science in achieving sustainable development goals: A review
Next research. · 2025
Nangamso Nathaniel Nyangiwe
Read original paper ↗ ·Mechanisms and modelling of diffusion in solids: a multiscale framework with industrial case studies and AI enhancements
Discover Sustainability · 2025
Obinna Onyebuchi Barah, Faith Natukunda, Ige Bori, Kelechi John Ukagwu
Read original paper ↗ ·LiCondAI: A Machine Learning Model for Predicting Lithium-Ion Conductivity in Solid Electrolytes
Industrial & Engineering Chemistry Research · 2025
Bijan Paul, Sahand Serajian, Hongzhi Guo, Mona Bavarian
Read original paper ↗ ·Machine learning in X-ray diffraction for materials discovery and characterization
Matter · 2025
Connor Davel, Nazanin Bassiri‐Gharb, Juan‐Pablo Correa‐Baena
Read original paper ↗ ·Artificial intelligence in materials science and chemistry: Past, present and future trajectories
Materials Today Chemistry · 2025
Etinosa Osaro, Nell Karpinski, Sonia Alornyo, Joshua O. Ighalo
Read original paper ↗ ·Prediction of SF6 Replacement Gases Based on Machine Learning
ACS Omega · 2025
Guocheng Ding, Wei Liu, Mengxuan Ling, Feiyu Chen, Zien Liu, Qinqin Yuan, Longjiu Cheng
Read original paper ↗ ·Computational frontiers in advancing inorganic solid-state electrolytes for the next-generation lithium batteries
Journal of Energy Storage · 2025
Arjun Suvilal, Anjaly Baiju Krishna, Rakhesh Vamadevan, Jeetu Satheesh Babu
Read original paper ↗ ·Modeling and state estimation of liquid metal batteries
Renewable and Sustainable Energy Reviews · 2025
Mohamed M. Badr, Lama S. Alshammari, Muhammad Zeeshan, Azza A. Faiad, Murali Sankar Venkatraman, Nicolas Calvet, Shehab Ahmed
Read original paper ↗ ·Process optimization for synthesizing α-Al2O3 with tailored morphology and dispersibility by interpretable incremental machine learning
Materials & Design · 2025
Jilun Zhang, Huaqiang Zhu, Nian Zhou, Xiangdong Su
Read original paper ↗ ·Ambient-condition hydrogen storage: Accelerating the development of high-capacity hydrides via a quantitative interpretable machine learning framework
Energy storage materials · 2025
Panpan Zhou, Haoran Shen, Ning Xu, Qianwen Zhou, Chengguo Yan, Xinying Li, Nuo Lei, Jinghua Jiang, Dan Song, Jiaguang Zheng, Yongjin Zou, Lixian Sun, Zhongkang Han, Xiulin Fan, Xuezhang Xiao, Lixin Chen
Read original paper ↗ ·Asymmetric multistage composite foams for high-efficient absorption-dominant electromagnetic interference shielding exploited with aid of machine learning
Carbon · 2025
Lingjun Zeng, Yu Zhang, Lan Xie, Bai Xue, Qiang Zheng
Read original paper ↗ ·Machine learning-guided optimization of flame retardancy in rigid polyurethane foams
Polymer Degradation and Stability · 2025
Xiaoyan Sun, Jiankun Fu, Min Hao, Madeleine Bussemaker, Juncheng Jiang, Ru Zhou, Lian X. Liu
Read original paper ↗ ·Machine learning-based prediction and optimization of performances of porous ZrO2/Al2O3 ceramics: a few-shot learning approach
Applied Materials Today · 2025
An Huang, Kai Tan, Xiulan He, Miao Wang, Mingyue Zhou
Read original paper ↗ ·Multi-staged machine learning-driven investigation of biomass-derived hard carbon anodes for sodium-ion batteries: Connecting precursor, structure, and performance
Chemical Engineering Journal · 2025
Muxin Liu, Quan Tang, Erwei Leng, Yuanwang Deng, Dangzhen Lv, E Jiaqiang
Read original paper ↗ ·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
SSRN Electronic Journal · 2026
Shunli Wang, Carlos Fernández, Liya Zhang, Liangwei Cheng, Lei Zhou, Frede Blaabjerg
Read original paper ↗ ·Recent innovations in energy storage system solutions for renewable integration
Elsevier eBooks · 2026
Dhrisya Chenthamara, Zhenquan Yang, Xiangfeng Zheng, Sivakumar Esakkimuthu, Karthickeyan Viswanathan
Read original paper ↗ ·Review on Recent Development of Artificial Intelligence and Machine Learning Approaches in Energy Applications
Studies in Infrastructure and Control · 2026
Muhammad Harussani Moklis, Cries Avian, Eric Kolor, Md. Rubel, Jeffrey S. Cross
Read original paper ↗ ·