Papers citing Machine learning for a sustainable energy future
How machine learning can accelerate electrocatalysis discovery and optimization
Materials Horizons · 2022
Stephan N. Steinmann, Qing Wang, Zhi Wei Seh
Read original paper ↗ ·A Review on Data-Driven Security Assessment of Power Systems: Trends and Applications of Artificial Intelligence
IEEE Access · 2023
Alireza Mehrzad, Milad Darmiani, Yashar Mousavi, Miadreza Shafie‐khah, Mohammad Reza Aghamohammadi
Read original paper ↗ ·Artificial intelligence and machine learning in energy storage and conversion
Energy Advances · 2023
Zhi Wei Seh, Kui Jiao, Ivano E. Castelli
Read original paper ↗ ·Introduction to new horizons in materials for energy conversion, optics and electronics
Nanoscale Horizons · 2023
Jinlan Wang, Yuanjian Zhang, Seeram Ramakrishna, Guihua Yu
Read original paper ↗ ·Machine learning-inspired battery material innovation
Energy Advances · 2023
Man‐Fai Ng, Yongming Sun, Zhi Wei Seh
Read original paper ↗ ·Machine Morality
Springer eBooks · 2023
Chris Emmery, Travis J. Wiltshire
Read original paper ↗ ·Which molecular properties determine the impact sensitivity of an explosive? A machine learning quantitative investigation of nitroaromatic explosives
Physical Chemistry Chemical Physics · 2023
Júlio César Duarte, Romulo Dias da Rocha, Itamar Borges
Read original paper ↗ ·Next-generation intelligent laboratories for materials design and manufacturing
MRS Bulletin · 2023
Xiting Peng, Xiaonan Wang
Read original paper ↗ ·Data-Driven Battery Aging Mechanism Analysis and Degradation Pathway Prediction
Batteries · 2023
Ruilong Xu, Yujie Wang, Zonghai Chen
Read original paper ↗ ·Reshaping the material research paradigm of electrochemical energy storage and conversion by machine learning
EcoMat · 2023
Hao Yang, Zhengqiu He, Mengdi Zhang, Xiaojie Tan, Kang Sun, Haiyan Liu, Ning Wang, Lu Guan, Chongze Wang, Yi Wan, Wanli Wang, Han Xiang Hu, Mingbo Wu
Read original paper ↗ ·Natural Pyranosyl Materials: Potential Applications in Solid‐State Batteries
ChemSusChem · 2023
Yueyue Cao, Guoqun Zhang, Jincheng Zou, Huichao Dai, Chengliang Wang
Read original paper ↗ ·COMPARISON OF SHORT-TERM FORECASTING METHODS OF ELECTRICITY CONSUMPTION IN MICROGRIDS
Radio Electronics Computer Science Control · 2023
Yuliia Parfenenko, V. V. Shendryk, Ye. P. Kholiavka, P. M. Pavlenko
Read original paper ↗ ·Predicting Chronic Kidney Disease Using Machine Learning Algorithms
IEEE Annual Computing and Communication Workshop and Conference (CCWC) · 2023
Afia Farjana, Fatema Tabassum Liza, Partha Pratim Pandit, Madhab Chandra Das, Mahadi Hasan, Fariha Tabassum, Md Helal Hossen
Read original paper ↗ ·The Role of AI in Driving the Sustainability of the Chemical Industry
CHIMIA International Journal for Chemistry · 2023
Alessandra Toniato, Oliver Tobias Schilter, Teodoro Laino
Read original paper ↗ ·Synthesizable materials discovery via interpretable, physics-informed machine learning models
ChemRxiv · 2023
Susumu Fujii, Yuta Shimizu, Junji Hyodo, Akihide Kuwabara, Yoshihiro Yamazaki
Read original paper ↗ ·New paradigm of in situ characterization for next-generation CO2 electroreduction towards multi-carbon products over Cu-based catalysts
Next Energy · 2023
Li Li, Shumin Wang, Chaofan Wan, Chengbin Xu, Ming Zuo, Yongfu Sun, Yi Xie
Read original paper ↗ ·Prediction of concrete compressive strength employing machine learning techniques
Materials Today Proceedings · 2023
Keshav Malhotra, Dhaneshwar Mishra, Charanjeet Singh Tumrate
Read original paper ↗ ·The landscape of computational approaches for artificial photosynthesis
Nature Computational Science · 2023
Ke Yang, Gregory W. Kyro, Víctor S. Batista
Read original paper ↗ ·A Survey on Large Language Models: Applications, Challenges, Limitations, and Practical Usage
Venue not supplied by source · 2023
Muhammad Usman Hadi, Qasem Al-Tashi, Rizwan Qureshi, Abbas Shah, Amgad Muneer, Muhammad Irfan, Anas Zafar, Muhammad Bilal Shaikh, Naveed Akhtar, Syed Zohaib Hassan, Maged Shoman, Jia Wu, Seyedali Mirjalili, Mubarak Shah
Read original paper ↗ ·Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects
Venue not supplied by source · 2023
Muhammad Usman Hadi, Qasem Al-Tashi, Rizwan Qureshi, Abbas Shah, Amgad Muneer, Muhammad Irfan, Anas Zafar, Muhammad Bilal Shaikh, Naveed Akhtar, Jia Wu, Seyedali Mirjalili
Read original paper ↗ ·Intelligent Neural Network-Based Energy Management for Microgrids with Prioritized EV Charging
Asia Conference on Energy and Electrical Engineering (ACEEE) · 2023
Mayur Rele, Dipti Patil
Read original paper ↗ ·Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects
Venue not supplied by source · 2023
Muhammad Usman Hadi, Qasem Al-Tashi, Rizwan Qureshi, Abbas Shah, Amgad Muneer, Muhammad Irfan, Anas Zafar, Muhammad Bilal Shaikh, Naveed Akhtar, Syed Zohaib Hassan, Maged Shoman, Jia Wu, Seyedali Mirjalili, Mubarak Shah
Read original paper ↗ ·Health monitoring by optical fiber sensing technology for rechargeable batteries
eScience · 2023
Yi Zhang, Yanpeng Li, Zezhou Guo, Jianbo Li, Xiaoyu Ge, Qizhen Sun, Zhijun Yan, Zhen Li, Yunhui Huang
Read original paper ↗ ·Ultrahigh‐Speed Aqueous Copper Electrodes Stabilized by Phosphorylated Interphase
Advanced Materials · 2023
Yuanhe Sun, Zeying Yao, Qi Lei, Yuanxin Zhao, Zhiguo Ren, Wei Zhang, Jingying Si, Lei Zhang, Wen Wen, Daming Zhu, Xiaolong Li, Renzhong Tai
Read original paper ↗ ·Controlled mixing during colloidal quantum dot synthesis: A proxy-concept based on equivalent parameters
Chemical Engineering Journal · 2023
Ahmed M. Salaheldin, Doris Segets
Read original paper ↗ ·Using data-driven learning methodology for a solid waste-to-energy scheme and developed regression analyses for performance prediction
Process Safety and Environmental Protection · 2023
Peng Li, Theyab R. Alsenani, Mingkui Li, Haitao Lin, Hala Najwan Sabeh, Fahad Alturise, Tamim Alkhalifah, Salem Alkhalaf, Siwar Ben Hadj Hassine
Read original paper ↗ ·Application of Machine Learning and Artificial Intelligence Technology in Mobile Communication Network
Venue not supplied by source · 2023
Shutong Huang
Read original paper ↗ ·Discovery of Unconventional Proton‐Conducting Inorganic Solids via Defect‐Chemistry‐Trained, Interpretable Machine Learning
Advanced Energy Materials · 2023
Susumu Fujii, Yuta Shimizu, Junji Hyodo, Akihide Kuwabara, Yoshihiro Yamazaki
Read original paper ↗ ·Ni-rich layered cathodes for lithium-ion batteries: From challenges to the future
Energy storage materials · 2023
Jun Xiao Yang, Xinghui Liang, Hoon‐Hee Ryu, Chong Seung Yoon, Yang‐Kook Sun
Read original paper ↗ ·Curated materials data of hybrid perovskites: approaches and potential usage
Trends in Chemistry · 2023
Rayan Chakraborty, Volker Blüm
Read original paper ↗ ·Artificial intelligence-driven rechargeable batteries in multiple fields of development and application towards energy storage
Journal of Energy Storage · 2023
Zheng Li, Shuqing Zhang, Hao Huang, Ruxiang Liu, Mian Cai, Yinghui Bian, Long Chang, Huiping Du
Read original paper ↗ ·Application of machine learning to assess people's perception of household energy in the developing world: A case of Nepal
Energy and AI · 2023
Utsav Bhattarai, Tek Maraseni, Laxmi Prasad Devkota, Armando Apan
Read original paper ↗ ·Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects
Venue not supplied by source · 2023
Muhammad Usman Hadi, Qasem Al-Tashi, Rizwan Qureshi, Abbas Shah, Amgad Muneer, Muhammad Irfan, Anas Zafar, Muhammad Bilal Shaikh, Naveed Akhtar, Syed Zohaib Hassan, Maged Shoman, Jia Wu, Seyedali Mirjalili, Mubarak Shah
Read original paper ↗ ·Modeling Single‐Atom Catalysis
Advanced Materials · 2023
Giovanni Di Liberto, Gianfranco Pacchioni
Read original paper ↗ ·Predicting Active Solar Power with Machine Learning and Weather Data
Materials Circular Economy · 2023
Swikriti Khadke, Brindha Ramasubramanian, Pranto Paul, Raghavendra Lawaniya, Suma Dawn, Angana Chakraborty, Biswajit Mandal, Goutam Kumar Dalapati, Avishek Kumar, Seeram Ramakrishna
Read original paper ↗ ·A New Approach Towards Deployment and Management of Machine Learning Models Using K-serve Platform for Building Robust Machine Learning Systems
IEEE Global Conference for Advancement in Technology (GCAT) · 2023
Kanwarpartap Singh Gill, Vatsala Anand, Rupesh Gupta, Charu Khosla, Pao‐Ann Hsiung
Read original paper ↗ ·Predicting renewable energy production outputs from climate factors: A machine learning approach
Research Square · 2023
Lutfu Sagbansua, Haibo Wang, Jaime Ortiz, Jun Huang, Bahram Alidaee
Read original paper ↗ ·Accordion-like Co-MOF derived heterostructured Co/CoP@PNC as highly efficient electrocatalyst for alkaline hydrogen evolution reaction
International Journal of Hydrogen Energy · 2023
Guoliang Gao, Dongwei Wei, Li Li, Mingqi Wei, Xueli Chen, Yangyang Yu, Guang Hua Yang, Guang Zhu, Lu Han, Jin Feng Jia
Read original paper ↗ ·Machine Learning: Models, Challenges, and Research Directions
Future Internet · 2023
Tala Talaei Khoei, Naima Kaabouch
Read original paper ↗ ·Synergies and Challenges: Integrating Machine Learning, Blockchain Technology, and Regulatory Frameworks in Biomedical Cybersecurity
Journal of ISMAC · 2023
Rahul Kumar Jha, Amit M. Patel, Birendra Kumar Shah
Read original paper ↗ ·Machine Learning-Assisted Low-Dimensional Electrocatalysts Design for Hydrogen Evolution Reaction
Nano-Micro Letters · 2023
Jin Li, Naiteng Wu, Jian Zhang, Hong‐Hui Wu, Kunming Pan, Yingxue Wang, Guilong Liu, Xianming Liu, Zhenpeng Yao, Qiaobao Zhang
Read original paper ↗ ·A comprehensive study of groundbreaking machine learning research: Analyzing highly cited and impactful publications across six decades
Journal of Engineering Research · 2023
Absalom El-Shamir Ezugwu, Japie Greeff, Yuh‐Shan Ho
Read original paper ↗ ·Neural net-based surrogate square pin fin correlations for thermal-fluid design optimization under developing flow conditions
Numerical Heat Transfer Part B Fundamentals · 2023
Saeel S. Pai, Justin A. Weibel
Read original paper ↗ ·A systematic study on the metallophilicity of ordered five-atomic-layer MXenes using high-throughput automated workflow and machine learning
Energy storage materials · 2023
Xiang Feng, Ruilin Dong, Yuanjian Li, Xiaopeng Liu, Chao Hsun Lin, Tianshuai Wang, Zhi Wei Seh, Qianfan Zhang
Read original paper ↗ ·Application of Digital Methods in Polymer Science and Engineering
Advanced Functional Materials · 2023
Timo Schuett, Patrick Endres, Tobias Standau, Stefan Zechel, Rodrigo Queiroz Albuquerque, Christian Brütting, Holger Ruckdäschel, Ulrich S. Schubert
Read original paper ↗ ·Anion optimization for bifunctional surface passivation in perovskite solar cells
Nature Materials · 2023
Jian Xu, Hao Chen, Luke Grater, Cheng Liu, Yi Yang, Sam Teale, Aidan Maxwell, Suhas Mahesh, Haoyue Wan, Yuxin Chang, Bin Chen, Benjamin Rehl, So Min Park, Mercouri G. Kanatzidis, Edward Hartley Sargent
Read original paper ↗ ·Prediction modeling using deep learning for the classification of grape-type dried fruits
International Journal of Mathematics and Computer in Engineering · 2023
Md Nurul Raihen, Sultana Akter
Read original paper ↗ ·Hierarchical FeS2 cathode with suppressed shuttle effect for high performance magnesium-ion batteries
Nano Energy · 2023
Jianbiao Wang, Gaoliang Yang, Tanmay Ghosh, Yang Bai, Carina Yi Jing Lim, Lei Zhang, Debbie Hwee Leng Seng, Wei Peng Goh, Zhenxiang Xing, Zhaolin Liu, Zhi Wei Seh
Read original paper ↗ ·Smart Dope: A Self‐Driving Fluidic Lab for Accelerated Development of Doped Perovskite Quantum Dots
Advanced Energy Materials · 2023
Fazel Bateni, Sina Sadeghi, Negin Orouji, Jeffrey A. Bennett, Venkat S. Punati, Christine Stark, Junyu Wang, Michael C. Rosko, Ou Chen, Felix N. Castellano, Kristofer G. Reyes, Milad Abolhasani
Read original paper ↗ ·Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects
Venue not supplied by source · 2023
Muhammad Usman Hadi, Qasem Al-Tashi, Rizwan Qureshi, Abbas Shah, Amgad Muneer, Muhammad Irfan, Anas Zafar, Muhammad Bilal Shaikh, Naveed Akhtar, Syed Zohaib Hassan, Maged Shoman, Jia Wu, Seyedali Mirjalili, Mubarak Shah
Read original paper ↗ ·