Papers citing Machine learning for a sustainable energy future
Deep learning-enabled integration of renewable energy sources through photovoltaics in buildings
Case Studies in Thermal Engineering · 2024
M. Arun, Thanh Tuan Le, Debabrata Barik, Prabhakar Sharma, Sameh M. Osman, Van Kiet Huynh, Jerzy Kowalski, Van Huong Dong, Viet Vinh Le
Read original paper ↗ ·Hydrophilic chelators for coordination and separation of radioactive f-block elements
National Science Open · 2024
Bin Li, Mingjie Bao, Yu Kang, Ludi Wang, Yaoyang Liu, Li Wang, Chao Xu
Read original paper ↗ ·Plasma‐Induced Oxygen Defect Engineering in Perovskite Oxide for Boosting Oxygen Evolution Reaction
Small · 2024
Kaiteng Wang, Jun Hong Zhou, Lei Fu, Yunqing Kang, Zilin Zhou, Yonghong Cheng, Kai Wu, Yusuke Yamauchi
Read original paper ↗ ·Analysis of 27 supervised machine learning models for the co-gasification assessment of peanut shell and spent tea residue in an open-core downdraft gasifier
Renewable Energy · 2024
S. Joseph Sekhar, Muralikrishna Boddu, Arun S. Gopinath, Thangavel Mathimani
Read original paper ↗ ·Tentative exploration of artificial intelligence in developing and optimizing fuel cell catalysts
Scientia Sinica Chimica · 2024
Hua Qiuru, Yiming Gu, Xianbin Guo, Chu Wu, Gang Li, Yihuang Zhang, Shudong Wang
Read original paper ↗ ·Microgrid Dynamics Control: GA-Optimized LQR vs. ILQR Controller Comparison
Venue not supplied by source · 2024
Md. Takvir Anam, ASM Shihavuddin, Md. Fahim Hasan, Ahmed Al Mansur, Md. Hasan Maruf, M M Naushad Ali
Read original paper ↗ ·New Sites of Accumulation? Why Intangible Assets Matter for Energy Transitions
Review of Political Economy · 2024
Silvia Weko
Read original paper ↗ ·Data-driven machine learning models for predicting the maximum absorption and emission wavelengths of single benzene fluorophores
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · 2024
Yongshi Jin, Z.-Y. Wang, Miao Dong, Pingping Sun, Weijie Chi
Read original paper ↗ ·Survey of Machine Learning Applications in Wind Power Implementation: A Comprehensive View
IEEE International Conference on Application of Information and Communication Technologies (AICT) · 2024
Khalid Mammadov, Ilhama Novruzova, Natavan Hasanova, Samir Mammadov
Read original paper ↗ ·The Design of Transition Metal Sulfide Cathodes for High-Performance Magnesium-Ion Batteries
Accounts of Materials Research · 2024
Jianbiao Wang, Zhi Wei Seh
Read original paper ↗ ·Electrochemical ammonia oxidation reaction: From mechanistic understanding to practical applications
InfoScience. · 2024
Lei Fan, Rui Jiang, Yumin Da, Yukun Xiao, Hongqiang Jin, Xiang Calvin Chen, Wei Chen
Read original paper ↗ ·Comprehensive review of advances in machine-learning-driven optimization and characterization of perovskite materials for photovoltaic devices
Journal of Energy Chemistry · 2024
Bonghyun Jo, Wenning Chen, Hyun Suk Jung
Read original paper ↗ ·An affordable platform for automated synthesis and electrochemical characterization
Device · 2024
Sergio Pablo‐García, A. Garcı́a, Gun Deniz Akkoc, Malcolm Sim, Yang Cao, Maxine Somers, Chance Hattrick, Naruki Yoshikawa, Dominik Dworschak, Han Hao, Alán Aspuru‐Guzik
Read original paper ↗ ·Differentiable modeling and optimization of non-aqueous Li-based battery electrolyte solutions using geometric deep learning
Nature Communications · 2024
Shang Zhu, Bharath Ramsundar, Emil Jonathan Annevelink, Hongyi Lin, Adarsh Dave, Pin-Wen Guan, Kevin L. Gering, Venkatasubramanian Viswanathan
Read original paper ↗ ·Power generation mix in Colombia including wind power: Markowitz portfolio efficient frontier analysis with machine learning
Journal of Open Innovation Technology Market and Complexity · 2024
Sergio Botero Botero, Claudia María García Mazo, Francisco Javier Moreno Arboleda
Read original paper ↗ ·The atmospheric boundary layer: a review of current challenges and a new generation of machine learning techniques
Artificial Intelligence Review · 2024
Linda Canché-Cab, Liliana San‐Pedro, Ali Bassam, Michel Rivero, Mauricio Alberto Escalante Soberanis
Read original paper ↗ ·Emerging computational and machine learning methodologies for proton-conducting oxides: materials discovery and fundamental understanding
Science and Technology of Advanced Materials · 2024
Susumu Fujii, Junji Hyodo, Kazuki Shitara, Akihide Kuwabara, Shusuke Kasamatsu, Yoshihiro Yamazaki
Read original paper ↗ ·Predicting magnetic properties of van der Waals magnets using graph neural networks
Physical Review Materials · 2024
Peter Minch, Romakanta Bhattarai, Kamal Kumar Choudhary, Trevor David Rhone
Read original paper ↗ ·The costs of hydrogen and conventional energy carriers: temporal evolutions and mutual price correlations – global insights with a focus on Belgium
International Journal of Sustainable Energy · 2024
Jordi F.P. Cornette, Julien Blondeau
Read original paper ↗ ·Advanced porous MOF materials and technologies for high-efficiency ppm-level toxic gas separation
Materials Science and Engineering R Reports · 2024
Shouyi Hu, Shouyi Hu, Guijun Guo, Jiaxi Zhang, Mehak Nawaz Khan, Shuanghua Xu, Fan Yang, Brian W. Schwandt, Zhigang Hu, Jianxin Zou
Read original paper ↗ ·Enhancing PCE above 16.03% via linker engineering of donor layer: A DFT study of binary all-small-molecule organic solar cells
Surfaces and Interfaces · 2024
Muhammad Durair Sajjad Haider, Muhammad Durair Sajjad Haider, Riaz Hussain, Riaz Hussain, Noureen Kanwal, Ajaz S Hussain, Affiefa Yawer, Muhammad Irtaza Sajjad Haider, Muhammad Irtaza Sajjad Haider, Riaz Hussain, Riaz Hussain, Khurshid Ayub, Khaled Fahmi Fawy
Read original paper ↗ ·Machine Learning for Optical Anisotropy Identification of Few-Layer Black Phosphorus Based on Polarized Microscopic Images
ACS Applied Nano Materials · 2024
Zhihong Jewel Hu, Wei Chen, Hui Qiao, Zongyu Huang, Xiang Qi
Read original paper ↗ ·Machine learning in advancing anode materials for Lithium-Ion batteries – A review
Inorganic Chemistry Communications · 2024
Mohammad Aminul Islam, Zahid Ahsan, Mustafizur Rahman, Md. Ibrahim Abdullah, Masud Rana, Nayem Hossain, Mohammad Assaduzzaman Chowdhury
Read original paper ↗ ·NiCo2S4/MoS2 Composites for High-Performance Hybrid Supercapacitors
ACS Applied Energy Materials · 2024
Jingyu Tian, Wei-Li Qu, Rui Guo, Jing Liang, Xiaofeng Li
Read original paper ↗ ·Chemical space-property predictor model of perovskite materials by high-throughput synthesis and artificial neural networks
Chem · 2024
Md. Ataur Rahman, Md. Shahjahan, Yaqing Zhang, Rihan Wu, Elad Harel
Read original paper ↗ ·A Deep Learning Technique for Real-Time Detection of Cognitive Load Using Optimal Number of EEG Electrodes
IEEE Transactions on Instrumentation and Measurement · 2024
Subashis Karmakar, Supreeti Kamilya, Chiranjib Koley, Tandra Pal
Read original paper ↗ ·Autonomous vehicle pollution monitoring: An innovative solution for policy and environmental management
Transportation Research Part D Transport and Environment · 2024
Mengchu Li, Yujin Tang, Kechang Wu, Huan Xin Cheng
Read original paper ↗ ·Enhancing Power Conversion Efficiency of Perovskite Solar Cells Through Machine Learning Guided Experimental Strategies
Advanced Functional Materials · 2024
Antai Yang, Yonggui Sun, Jingzi Zhang, Fei Wang, Chengquan Zhong, Yang Chen, Hanlin Hu, Jiakai Liu, Xi Lin
Read original paper ↗ ·Forecasting global sustainable energy from renewable sources using random forest algorithm
Results in Engineering · 2024
Balasubbareddy Mallala, Azka Ihtesham Uddin Ahmed, Sastry V Pamidi, Omar Faruque, M. Rajasekhar Reddy
Read original paper ↗ ·Applying phase change materials and predictive modeling to optimize proton exchange membrane fuel cells
Energy Conversion and Management · 2024
Iman Sarani, Zhiming Bao, Wenming Huo, Zhengguo Qin, Yanchen Lai, Kui Jiao
Read original paper ↗ ·Generative diffusion model for surface structure discovery
Physical review. B./Physical review. B · 2024
Nikolaj Rønne, Alán Aspuru‐Guzik, Bjørk Hammer
Read original paper ↗ ·Synergistic intensification of palladium-based membrane reactors for hydrogen production: A review
Energy Conversion and Management · 2024
Weiwei Yang, Xin-Yuan Tang, Xu Ma, Xiangkun Elvis Cao, Ya‐Ling He
Read original paper ↗ ·Enhanced Water Splitting Electrocatalysis with Heterointerfacial Cobalt Phosphide In Situ Supported on a Cellulose-Derived Carbon Aerogel
Langmuir · 2024
Taoyi Shen, Xiang Chen, Zhongce Hu, Zhenhua Yan, Lanlan Yang, Hongming Sun, Rui Zhang, Hou–Yong Yu
Read original paper ↗ ·The Effects of Artificial Intelligence on the Fashion Industry—Opportunities and Challenges for Sustainable Transformation
Sustainable Development · 2024
Jolanta Bieńkowska
Read original paper ↗ ·“Twisting” the data: a universal machine-learning approach to classify single-molecule curves and beyond
Digital Discovery · 2025
Carlos Roldán-Piñero, M. Teresa González, Pablo M. Olmos, Linda Angela Zotti, Edmund Leary
Read original paper ↗ ·A Comprehensive Framework Integrating ML, Automation Pyramid, and KPIs for Industry 5.0
Communications in computer and information science · 2025
Pedro Ponce, Brian Anthony, Russel Bradley, Wenhao Xu, Juana Isabel Méndez, Arturo Molina
Read original paper ↗ ·A comprehensive understanding on the anionic redox chemistry of high-voltage cathode materials for high-energy-density lithium-ion batteries
Chemical Society Reviews · 2025
Qingyuan Li, Dong Zhou, Mihai Chu, Zhongqing Liu, Liangtao Yang, Wei Tao Wu, De Ning, Wenyuan Li, Xingbo Liu, Jie Li, Stefano Passerini, Jun Wang
Read original paper ↗ ·A mechanism review of metal phthalocyanines as single-atomic catalysts in electrochemical energy conversion
Chemical Science · 2025
Zikang Li, Ziqi Zhou, Mingzi Sun, Tong Wu, Qiuyang Lu, Lu Lu, Baian Chen, Cheuk Hei Chan, Hon Ho Wong, Bolong Huang
Read original paper ↗ ·A review of machine learning applications in polymer composites: advancements, challenges, and future prospects
Journal of Materials Chemistry A · 2025
Manickaraj Karuppusamy, Ramakrishnan Thirumalaisamy, Sivasubramanian Palanisamy, Sudha Nagamalai, Ehab El Sayed Massoud, Nadir Ayrılmış
Read original paper ↗ ·A revolutionary paradigm in chemistry and materials science research: self-driving laboratories
Chemical Communications · 2025
Jiaxuan Qiu, Liwen Zhu, Zhe Feng, Zhongzhong Luo, Longlu Wang
Read original paper ↗ ·Beyond macroscopic performance: nanoscale charge transfer dynamics in energy storage/conversion devices via scanning electrochemical cell microscopy
Chemical Communications · 2025
Zhenjiang Cao, Pengfei Li, Yujia He, Kai Jia, Yuxia Guan, Ning Gao, Juntao Tony Gao, Jin Li, Rui Gao, Shujiang Ding, Kai Xi
Read original paper ↗ ·Deep Neural Network-Based Surrogate Modeling Assisted Design Optimization of Cryogenic Supercritical Hydrogen Storage System with LNG Cryogenic Energy Integration
SSRN Electronic Journal · 2025
Buzhi Huang, Jingxuan Xu, Xi Chen, Binlin Dou, Hua Zhang, Ting He
Read original paper ↗ ·Deep Neural Network-Based Surrogate Modeling Assisted Design Optimization of Cryogenic Supercritical Hydrogen Storage System with LNG Cryogenic Energy Integration
SSRN Electronic Journal · 2025
Buzhi Huang, Jingxuan Xu, Xi Chen, Binlin Dou, Hua Zhang, Ting He
Read original paper ↗ ·Design and Optimization of Solar Thermal Collectors
Progress in optical science and photonics · 2025
G. Raam Dheep
Read original paper ↗ ·Dual-active Li‖Te–Bi liquid metal batteries with enhanced coulombic efficiency and cycling stability
Chemical Communications · 2025
Yewei Guo, Zehang Li, Qiao Cu, Shaoming Feng, Weixin Zhang, Kangli Wang, Haomiao Li, Kai Jiang
Read original paper ↗ ·Efficiently screening organic ligands by machine learning for stabilizing 2D/3D perovskites
Journal of Materials Chemistry A · 2025
Wei Zhang, Jing Zhang, Chengxu Zhang, Runchao Dong, Yong Xu, Zuobao Yang, Jinju Zheng, Dongsheng Chen, Qiao Liu, Weiyou Yang, Minghui Shang
Read original paper ↗ ·Enabling high-performance multivalent metal-ion batteries: current advances and future prospects
Chemical Society Reviews · 2025
Asif Mahmood, Zhe Bai, Tan Wang, Yaojie Lei, Shijian Wang, Bing Sun, Hajra Khan, Karim Khan, Kening Sun, Guoxiu Wang
Read original paper ↗ ·From data to discovery: Exploring novel photovoltaic perovskite chalcogenide crystals MgMS3 (M: Zr, Ti, Hf) via machine learning and density functional theory calculations
Materials Today Communications · 2025
Bouchra Kaima Mechraoui, Ali Benghia, Zoulikha Hebboul, I.K. Lefkaier, Mohamed Halit, Rabie Arar
Read original paper ↗ ·Innovation, Challenges, and Future Directions for Enhancing Energy Efficiency and Sustainability
SSRN Electronic Journal · 2025
Akshara Sharma, Nimisha Negi, Reema Thareja
Read original paper ↗ ·Integrating artificial intelligence in energy transition: A comprehensive review
Energy Strategy Reviews · 2025
Qiang Wang, Yuanfan Li, Rongrong Li
Read original paper ↗ ·