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Papers citing Machine learning for a sustainable energy future

  1. Machine learning-assisted design of cathode materials for lithium–sulfur batteries derived from a metal–organic framework

    Materials Horizons · 2025

    Seoyeah Oh, Kyeom Choi, Jihyeon Park, Geonho Kim, Seoyoung Yoon, Dong-Jun Kim, Seokhee Lee, Jiwon Kim

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  2. Many-body physics and machine learning enabled discovery of promising solar materials

    RSC Advances · 2025

    Tathagata Biswas, Adway Gupta, Arunima K. Singh

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  3. Modern organic transformations: heterogeneous thermocatalysis or photocatalysis?

    Chemical Society Reviews · 2025

    Ning Zhang, Wanbing Gong, Yujie Xiong

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  4. Molecular representation learning: cross-domain foundations and future Frontiers

    Digital Discovery · 2025

    Rahul Sheshanarayana, Fengqi You

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  5. Rapid synthesis of metastable materials for electrocatalysis

    Chemical Society Reviews · 2025

    Qiao Chen, Zichao Xi, Ziyuan Xu, Minghui Ning, Huimin Yu, Yuanmiao Sun, Dawei Wang, Ali Sami Alnaser, Huanyu Jin, Hui–Ming Cheng

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  6. Real-Time Performance Optimization of Kiriaki-Inspired Adaptive Building Facades: A Dynamic Environmental Responsiveness Framework

    SSRN Electronic Journal · 2025

    Cai Bing

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  7. Recent advances in Cu-based intermetallics: structures, syntheses, and electrocatalytic applications

    Journal of Materials Chemistry A · 2025

    Bo Chen, Peiyu Duan, Shuo Wang, Hanyun Pan, Shuxian Wu, Ye Hua, Xingyu Tao, Qinbai Yun, Yonghua Li

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  8. Solar Energy Forecasting Using Machine Learning Techniques for Enhanced Grid Stability

    IEEE Access · 2025

    Attuluri R. Vijay Babu, Bharath Kumar Narukullapati, Rajanand Patnaik Narasipuram, Soundhar Periyannan, Alireza Hosseinpour, Aymen Flah

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  9. Thailand's Journey: Unveiling the Interplay between Population, FDI, Carbon Emissions, and Renewable Energy for a Sustainable Future

    SSRN Electronic Journal · 2025

    Man Fuchs

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  10. Thermally Engineered Metal Hydride Hydrogen Storage System Integrated with Pemfc for Enhanced Performance in Fuel Cell Scooters

    SSRN Electronic Journal · 2025

    Zhijie Gao, Chao Chen, Zhimin Hao, Tao Kong, Jun Li, Shijin Guo, Peng Chu, Haiwen Li

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  11. Towards a brighter future and sustainability in energy: an editorial essay

    Oxford Open Energy · 2025

    Peter D. Lund

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  12. Predicting thermodynamic stability of inorganic compounds using ensemble machine learning based on electron configuration

    Nature Communications · 2025

    Hao Lin Zou, Haochen Zhao, Mingming Lu, Jiong Wang, Jiong Wang, Zeyu Deng, Jianxin Wang, Jianxin Wang

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  13. Approximate homomorphic encryption based privacy-preserving machine learning: a survey

    Artificial Intelligence Review · 2025

    Jiangjun Yuan, Weinan Liu, Jiawen Shi, Qingqing Li

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  14. Ion beam engineering of nanostructured materials for superior performance in supercapacitor applications: Recent progress and future perspectives

    Journal of Energy Storage · 2025

    Basudeba Maharana, Shyamal Chatterjee

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  15. Emerging trends in sustainable energy system assessments: integration of machine learning with techno-economic analysis and lifecycle assessment

    Sustainability Science and Technology · 2025

    Ebrahimpourboura Zahra, Manish Mosalpuri, Jonas Baltrušaitis, Pallavi Dubey, Mark Mba Wright

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  16. Harnessing Renewable Energy with Machine Learning: A Comparative Study of Renewable Energy Approaches in the USA and Sub-Saharan Africa

    Journal of Advanced Research and Multidisciplinary Studies · 2025

    A. A. Anya

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  17. Tail risk contagion and safe haven dynamics: Analyzing U.S. market implied volatility effects on China's energy futures

    Energy · 2025

    To-Han Chang, Nientsu Wang

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  18. Enhancing supply chain sustainability performance: the pivotal role of emerging technologies

    Journal of Business and Industrial Marketing · 2025

    Suman Niranjan, Vipul Kumar Garg, David Marius Gligor, Timothy G. Hawkins

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  19. Battery lifetime prediction across diverse ageing conditions with inter-cell deep learning

    Nature Machine Intelligence · 2025

    Han Zhang, Yuqi Li, Shun Zheng, Ziheng Lu, Xiaofan Gui, Wei Xu, Jiang Bian

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  20. Multi-strategy fusion pelican optimization algorithm and logic operation ensemble of transfer functions for high-dimensional feature selection problems

    International Journal of Machine Learning and Cybernetics · 2025

    Hao-Ming Song, Jie-Sheng Wang, Jia-Ning Hou, Yucai Wang, Yu-Wei Song, Yuliang Qi

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  21. Tree-Based Algorithms and Incremental Feature Optimization for Fault Detection and Diagnosis in Photovoltaic Systems

    Eng—Advances in Engineering · 2025

    Khaled Chahine

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  22. An innovative wood derived carbon-carbon nanotubes-paraffin wax phase change material with excellent thermal conductivity and latent heat of phase change

    Nano Research · 2025

    Boshi Song, Leilei Zhang, Bihan Zhang, Xinyi Wan, Qi Liu, Haiyang Li, Sheng Lei, Hanrui Dang, Xuanru Ren, Hejun Li

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  23. Role of calcination temperature of carbon derived from rice husks on electrochemical performance in direct methanol fuel cells

    Diamond and Related Materials · 2025

    Hala Mohamed, Abeer Enaiet Allah, Mohamed Shaban, Ahmed Abd-Elkhale, Fatma Mohamed

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  24. Advancements and future outlook of Artificial Intelligence in energy and climate change modeling

    Advances in Applied Energy · 2025

    Mobolaji Shobanke, Mehul Bhatt, Ekundayo Shittu

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  25. Materials laboratories of the future for alloys, amorphous, and composite materials

    MRS Bulletin · 2025

    Sarbajit Banerjee, Ying Shirley Meng, Andrew M. Minor, Minghao Zhang, Nestor J. Zaluzec, Maria K. Y. Chan, Gerald T. Seidler, David W. McComb, Joshua Agar, Partha P. Mukherjee, Brent C. Melot, Karena W. Chapman, Beth S. Guiton, Robert F. Klie, Ian McCue, Paul M. Voyles, Ian Robertson, Ling Li, Miaofang Chi, Joel F. Destino, Arun Devaraj, Emmanuelle A. Marquis, Carlo U. Segre, Huinan Hannah Liu, Judith C. Yang, Kasra Momeni, Amit Misra, Niaz Abdolrahim, Julia E. Medvedeva, Wenjun Cai, Alp Sehirlioglu, Melike Dizbay-Onat, Apurva Mehta, Lori L. Graham-Brady, Benji Maruyama, Krishna Rajan, Jamie H. Warner, Mitra L. Taheri, Sergei V. Kalinin, B. Reeja‐Jayan, Udo D. Schwarz, Sindee L. Simon, Craig M. Brown

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  26. Machine Learning for Modeling and Defect Detection of Friction Stir Welds: A Review

    Journal of Failure Analysis and Prevention · 2025

    Abdelhakim Dorbane, Fouzi Harrou, Ying Sun, Georges Y. Ayoub

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  27. Urban fabric decoded: High-precision building material identification via deep learning and remote sensing

    Environmental Science and Ecotechnology · 2025

    Kun Sun, Qiaoxuan Li, Qiance Liu, Jinchao Song, Menglin Dai, Xingjian Qian, Srinivasa Raghavendra Bhuvan Gummidi, Bailang Yu, Felix Creutzig, Gang Liu

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  28. Exploring big data applications in sustainable urban infrastructure: A review

    Urban Governance · 2025

    David Victor Ogunkan, Stella Kehinde Ogunkan

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  29. Molecular Engineering of Organic Electrode Materials for Beyond Lithium‐Ion Batteries

    Advanced Functional Materials · 2025

    Yunling Wu, Hualin Ye, Yanguang Li

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  30. A review of micro-hybrid energy systems for rural electrification, challenges and probable interventions

    Renewable energy focus · 2025

    Likonge Makai, Olawale Popoola

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  31. Grid Peak Shaving and Energy Efficiency Improvement: Advances in Gravity Energy Storage Technology and Research on Its Efficient Application

    Energies · 2025

    Shaojun Wang, Hao Xiao, Zhaoquan Zhao, Dezhao Li, Dong Hu, Qi Hu, Chen Shen, Xingyu Zhang, Jiahao Hu, Cheng Chi, Xin Min Cheng, Wei Zhang, Erjun Bu, Chenxu Zhao, An Wang, Lu Wang

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  32. Advancing perovskite photovoltaic technology through machine learning‐driven automation

    InfoMat · 2025

    Jiyun Zhang, Jianchang Wu, Vincent Marc Le Corre, Jens Hauch, Yicheng Zhao, Christoph Josef Brabec

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  33. The Value of Device Characterization for the Optimization of Organic Solar Cells

    Advanced Energy Materials · 2025

    Leonard Christen, Barbara Urbano, Anne Krause, Paula Hartnagel, Thomas Kirchartz

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  34. Amorphous/Crystalline Heterostructured Nanomaterials: An Emerging Platform for Electrochemical Energy Storage

    Small · 2025

    Yan Zhou, Yihua Liang, Zhen Wu, Xinlei Wang, Runnan Guan, Changqing Li, Fen Qiao, Junfeng Wang, Yongsheng Fu, Jong‐Beom Baek

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  35. VIS/NIR/FIR spectroscopy for blood glucose monitoring: A review

    AIP Advances · 2025

    Qin Chen, Wenwen Zhang, Wenzhi Wu

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  36. Enhancing Robustness and Charge Transfer Kinetics of Sodium-Ion Batteries through Introduction of Anionic Anchoring Separators

    Journal of the American Chemical Society · 2025

    Xiao Li, Tao Zhang, Yilin Zhao, Xiao‐Qing Zhu, Aimin Ge, Keith Christopher Gordon, Fei Wang, Guiyin Xu, Meifang Zhu

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  37. Advancing organic photovoltaic cells for a sustainable future: The role of artificial intelligence (AI) and deep learning (DL) in enhancing performance and innovation

    Solar Energy · 2025

    Hussein Togun, Ali Basem, Muhsin J. Jweeg, Nirmalendu Biswas, Azher M. Abed, Dipankar Paul, Hayder Ibrahim Mohammed, A.K. Chattopadhyay, Bhupendra Kumar Sharma, Tuqa Abdulrazzaq

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  38. Prepared LiNi0.6Co0.2Mn0.2O2 cathode material with excellent electrochemical performance by extracting manganese from pyrolusite

    Ionics · 2025

    Huiyuan Wu

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  39. Algorithms Facilitating the Observation of Urban Residential Vacancy Rates: Technologies, Challenges and Breakthroughs

    Algorithms · 2025

    Binglin Liu, Weijia Zeng, Weijiang Liu, Yi Peng, Nini Yao

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  40. Pioneering Eco-Efficiency in Cloud Computing: The Carbon-Conscious Federated Reinforcement Learning (CCFRL) Approach

    IEEE Internet of Things Journal · 2025

    Eunil Seo, Erik Elmroth

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  41. The Energy Hunger Paradox of Artificial Intelligence: End of Clean Energy or Magic Wand for Sustainability?

    Sustainability · 2025

    Hafize Nurgül Durmuş Şenyapar, Ramazan Bayındır

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  42. Assessing the impact of artificial intelligence on the transition to renewable energy? Analysis of U.S. states under policy uncertainty

    Renewable Energy · 2025

    Yuzhu Fang, Chi‐Chuan Lee, Xinghao Li

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  43. Flipping the script: Predicting chemical composition in metal-halide perovskites from optical spectroscopy

    Chem · 2025

    Alexander J. Norquist

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  44. Bioinspired electrocatalysts for water splitting

    Matter · 2025

    Weibo Zhang, Wei Yuan, Xiaoqing Zhang, Qing Liu, Bote Zhao, Biyu Pan, Yingxi Xie, Yong Zhong Tang

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  45. Artificial Intelligence in Lithium-Ion Battery Predictions

    Advances in computational intelligence and robotics book series · 2025

    R. Shilpa, Karuppasamy Periyakaruppan, U. Mithra, K Thrisha, R. Saratha, Rajapandian Varatharaj

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  46. Enhanced energy harvesting through lubricant-water interaction on a superoleophobic stainless steel@cellulose ester nanogenerator

    Nano Energy · 2025

    Hsuan‐Yu Yeh, Kuldeep Kaswan, Helmi Son Haji, Ravindra Joshi, Arshad Hussain Khan, Parag Parashar, Jui‐Han Yu, Wei-Zan Hsu, Po-Yu Chen, Jinn Peter Chu, Zong‐Hong Lin

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  47. Data to Watts

    Advances in computational intelligence and robotics book series · 2025

    Lingala Thirupathi, Manvitha Pola, Rupa Samala, Sanjana Gollapalli, Pranavi Katikineni, Shiva Samala

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  48. Recent progress in the design and application of machine learning for the hydrogen evolution reaction in electrocatalysis and photocatalysis

    Materials Today Communications · 2025

    Kaifeng Zhang, Xudong Wang, Yanjing Su

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  49. GCPNet: An interpretable Generic Crystal Pattern graph neural Network for predicting material properties

    Neural Networks · 2025

    Hengda Gao, Xiao‐Wei Guo, Genglin Li, Chao Li, Canqun Yang

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  50. Machine-learning-assisted design of cathode catalysts for metal-sulfur/oxygen/carbon dioxide batteries

    Energy storage materials · 2025

    Qi Zhang, Qi Zhang, Zhengran Wang, Zhengran Wang, Yifan Li, Fangbing Dong, Junjie Liu, Shenglin L. Xiong, Guilong Wang, Jinkui Feng

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