Papers citing Machine learning for advanced energy materials
Computational and Data-Driven Materials Engineering: Multimodal Materials Datasets, Integration Frameworks, and Discovery Potential
Journal of Computational and Data-Driven Materials Engineering · 2023
Maria Gonzalez, Javier Ruiz, Lucia Torres
Read original paper ↗ ·Computational and data-driven modelling of solid polymer electrolytes
Digital Discovery · 2023
Kaiyang Wang, Haoyuan Shi, Tianjiao Li, Liming Zhao, Hanfeng Zhai, Deepa Korani, Jingjie Yeo
Read original paper ↗ ·Machine learning toward improving the performance of membrane-based wastewater treatment: A review
Advanced Membranes · 2023
Panchan Dansawad, Yanxiang Li, Yize Li, Jingjie Zhang, Siming You, Wangliang Li, Shouliang Yi
Read original paper ↗ ·Machine learning-inspired battery material innovation
Energy Advances · 2023
Man‐Fai Ng, Yongming Sun, Zhi Wei Seh
Read original paper ↗ ·Perovskite-Based Materials for Photovoltaic Applications: A Machine Learning Approach
Springer eBooks · 2023
Ramandeep Kaur, Rajan Saini, Janpreet Singh
Read original paper ↗ ·The Application of Novel Functional Materials to Machine Learning
Springer eBooks · 2023
Humaira Rashid Khan, Fahd Sikandar Khan, Javeed Akhtar
Read original paper ↗ ·Using Frequency-Dependent Integer Order Models to Simulate Fractional Order Model for Battery Management
Lecture notes in electrical engineering · 2023
Xiaopeng Tang, Xin Lai, Yuanqiang Zhou, Ming Hui Yuan, Furong Gao
Read original paper ↗ ·Machine learning approach to understanding the ‘synergistic’ pseudocapacitive effects of heteroatom doped graphene
2D Materials · 2023
Apiphu Chenwittayakhachon, Kulpavee Jitapunkul, Bunyanuch Nakpalad, Phanit Worrayotkovit, Supawadee Namuangruk, Pichamon Sirisinudomkit, Pawin Iamprasertkun
Read original paper ↗ ·Investigation on the reaction mechanism of solid oxide co-electrolysis with different inlet mixtures based on the comparison of CO2 electrolysis and H2O electrolysis
Energy Conversion and Management · 2023
Jing Liang, Yige Wang, Jianzhong Zhu, Minfang Han, Kaihua Sun, Zaihong Sun
Read original paper ↗ ·Artificial Intelligence and Machine Learning for Energy Consumption and Production in Emerging Markets: A Review
Energies · 2023
David Mhlanga
Read original paper ↗ ·Machine learning assisted advanced battery thermal management system: A state-of-the-art review
Journal of Energy Storage · 2023
Ao Li, Jingwen Weng, Anthony Chun Yin Yuen, Wei Wang, Hengrui Liu, Eric Wai Ming Lee, Jian Wang, Sanghoon Kook, Guan Heng Yeoh
Read original paper ↗ ·Process Insights into Perovskite Thin‐Film Photovoltaics from Machine Learning with In Situ Luminescence Data
Solar RRL · 2023
Felix Laufer, Sebastian Ziegler, Fabian Schackmar, Edwin A. Moreno Viteri, Markus Götz, Charlotte Debus, Fabian Isensee, Ulrich W. Paetzold
Read original paper ↗ ·Analysis and evaluation of machine learning applications in materials design and discovery
Materials Today Communications · 2023
Mahsa Golmohammadi, Masoud Aryanpour
Read original paper ↗ ·Advanced ocean wave energy harvesting: current progress and future trends
Journal of Zhejiang University. Science A · 2023
Fang He, Yibei Liu, Jiapeng Pan, Xinghong Ye, Pengcheng Jiao
Read original paper ↗ ·Molecular Understanding and Practical In Silico Catalyst Design in Computational Organocatalysis and Phase Transfer Catalysis—Challenges and Opportunities
Molecules · 2023
Choon Wee Kee
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 ↗ ·A review on artificial roughened solar air heaters with and without thermal energy storage
International Journal of Green Energy · 2023
Ankush Jageshwar Hedau, Rajeshwer Prasad Saini
Read original paper ↗ ·Environmental life cycle assessment of biomass conversion using hydrothermal technology: A review
Fuel Processing Technology · 2023
Farihahusnah Hussin, Nur Nadira Hazani, Munawar Khalil, Mohamed Kheireddine Aroua
Read original paper ↗ ·Artificial Intelligence in Material Engineering: A Review on Applications of Artificial Intelligence in Material Engineering
Advanced Engineering Materials · 2023
Lipichanda Goswami, Manoj Kumar Deka, Mohendra Roy
Read original paper ↗ ·A systematic review of machine learning approaches in carbon capture applications
Journal of CO2 Utilization · 2023
Farihahusnah Hussin, Siti Aqilah Nadhirah Md. Rahim, Nur Syahirah Mohamed Hatta, Mohamed Kheireddine Aroua, Shaukat Ali Mazari
Read original paper ↗ ·Data-driven-aided strategies in battery lifecycle management: Prediction, monitoring, and optimization
Energy storage materials · 2023
Liqianyun Xu, Feng Wu, Renjie Chen, Li Li
Read original paper ↗ ·Arcing Stabilization Effect and Ablation Characteristics for C–Cu Electrodes at Low Air Pressure
IEEE Transactions on Transportation Electrification · 2023
Keliang Dong, Guangning Wu, Pengyu Qian, Yaguang Ma, Yunfeng Luo, Zefeng Yang, Wenfu Wei
Read original paper ↗ ·AI for Nanomaterials Development in Clean Energy and Carbon Capture, Utilization and Storage (CCUS)
ACS Nano · 2023
Honghao Chen, Yingzhe Zheng, Jiali Li, Lanyu Li, Xiaonan Wang
Read original paper ↗ ·The design of compositionally modulated lead-free ferroelectrics with large electromechanical response via high-throughput phase-field simulations and machine learning
Materials Research Bulletin · 2023
Le Van Lich, Thuy-Huong Nguyen, Dang Thi Hong Hue, Tinh Quoc Bui, Trong‐Giang Nguyen, Van‐Hai Dinh, Manh‐Huong Phan
Read original paper ↗ ·Applications of machine learning in supercritical fluids research
The Journal of Supercritical Fluids · 2023
Lucien Roach, Gian‐Marco Rignanese, Arnaud Erriguible, Cyril Aymonier
Read original paper ↗ ·Dye sensitization of TiO2 relevant to photocatalytic hydrogen generation: Current research trends and prospects
Journal of Photochemistry and Photobiology C Photochemistry Reviews · 2023
Spandana Gonuguntla, Reddi Kamesh, Ujjwal Pal, Debabrata Chatterjee
Read original paper ↗ ·Data-driven next-generation smart grid towards sustainable energy evolution: techniques and technology review
Protection and Control of Modern Power Systems · 2023
Faiaz Ahsan, Nazia Hasan Dana, Subrata Kumar Sarker, Li Li, S. M. Muyeen, Md. Firoj Ali, Zinat Tasneem, Md. Mehedi Hasan, Sarafat Hussain Abhi, Md. Robiul Islam, Md. Hafiz Ahamed, Md. Manirul Islam, Sajal K. Das, Faisal Rahman Badal, Prangon Das
Read original paper ↗ ·Batteries temperature prediction and thermal management using machine learning: An overview
Energy Reports · 2023
Ahmad Al Miaari, Hafız Muhammad Ali
Read original paper ↗ ·Customer Churn Prediction of Telecom Company Using Machine Learning Algorithms
Journal of Soft Computing and Data Mining · 2023
Universiti Sains Malaysia, Angela Yi Wen Chong, Khai Wah Khaw, Universiti Sains Malaysia, Wai Chung Yeong, Wen Xu Chuah, Universiti Sains Malaysia
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 review of artificial intelligence and machine learning applications in energy consumption and production
Journal of Technology Innovations and Energy · 2023
Asif Raihan
Read original paper ↗ ·A critical review of future aspects of digitalization next generation Li-ion batteries manufacturing process
Journal of Energy Storage · 2023
Pradeep Kumar Dammala, Kamil Burak Dermenci, Anish Raj K, Poonam Yadav, Joeri Van Mierlo, Maitane Berecibar
Read original paper ↗ ·Machine learning assisted screening of doped metals phosphides electrocatalyst towards efficient hydrogen evolution reaction
Molecular Catalysis · 2023
Shuyi Cao, Yuhong Luo, Tianhang Li, Jingde Li, Lanlan Wu, Guihua Liu
Read original paper ↗ ·AI-enabled materials discovery for advanced ceramic electrochemical cells
Energy and AI · 2023
Idris Temitope Bello, Ridwan Taiwo, Oladapo Christopher Esan, Adesola Habeeb Adegoke, Ahmed Olanrewaju Ijaola, Zheng Li, Siyuan Zhao, Chen Wang, Zongping Shao, Meng Ni
Read original paper ↗ ·A perspective on data-driven screening and discovery of polymer membranes for gas separation, from the molecular structure to the industrial performance
Reviews in Chemical Engineering · 2023
Eleonora Ricci, María Grazia De Angelis
Read original paper ↗ ·Advances of machine learning in materials science: Ideas and techniques
Frontiers of Physics · 2023
Sue Sin Chong, Yi Sheng Ng, Hui‐Qiong Wang, Jin‐Cheng Zheng
Read original paper ↗ ·Predicting satisfaction with democracy in Brazil considering data form an opinion survey
GEPROS. Gestão da Produção, Operações e Sistemas · 2023
Douglas Martins de Souza Rosa, Bruno Samways dos Santos, Rafael Henrique Palma Lima
Read original paper ↗ ·Solid-liquid phase transition temperature prediction of alloys based on machine learning key feature screening
Applied Materials Today · 2023
Jiheng Fang, Shangrong Yang, Ming Xie, Jieqiong Hu, Hongsheng Sun, Guohua Liu, Shangqiang Zhao, Yongtai Chen, Youcai Yang, dekui ning, Xingqun He, Qinglin Jin
Read original paper ↗ ·A systematic literature review and taxonomy proposition of machine learning techniques in smart manufacturing
Multidisciplinary Business Review · 2023
Felipe William Souza Dos Santos, Ivanete Schneider Hahn
Read original paper ↗ ·Application of Artificial Intelligence in Biochemistry Research: A Review
Journal of Biochemistry Microbiology and Biotechnology · 2023
Mahmoud Suleiman Jada, Hyelda Stephen, Mohammed Maikudi Usman, Abdullahi Usman Wurochekke
Read original paper ↗ ·A Meta-Analysis of Electricity Demand Forecasting Using Modelling Methods, Factors, and Horizon: A Review Study of Australia, Pakistan, and Sri Lanka
SSRN Electronic Journal · 2024
zara omar, Liwan H Liyanage
Read original paper ↗ ·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 ↗ ·Machine learning and artificial intelligence-distributed renewable energy sources: technologies, perspectives, and challenges
Elsevier eBooks · 2024
Xiaojun Yu, Yuekuan Zhou
Read original paper ↗ ·Nature-inspired and computer-aided approaches to enable improved photovoltaic materials, more efficient processing, and novel devices
Elsevier eBooks · 2024
Aloysius F. Hepp, Ryne P. Raffaelle
Read original paper ↗ ·Predicting the Mechanical Behavior of a Bioinspired Nanocomposite through Machine Learning
Computer Modeling in Engineering & Sciences · 2024
Xingzi Yang, Wei Lin Gao, Xiaodu Wang, Xiaowei Zeng
Read original paper ↗ ·Progress of machine learning in materials design for Li-Ion battery
Next Materials · 2024
Prasshanth C.V., Arun Kumar Lakshminarayanan, Brindha Ramasubramanian, Seeram Ramakrishna
Read original paper ↗ ·Recent Development, Challenges, and Breakthroughs of Thermochemical Conversion Technologies
Springer eBooks · 2024
Cynthia Ofori-Boateng
Read original paper ↗ ·Advances in materials and machine learning techniques for energy storage devices: A comprehensive review
Journal of Energy Storage · 2024
Prit Thakkar, Sachi Khatri, Drashti Dobariya, Darpan Patel, Bishwajit Dey, Alok Kumar Singh
Read original paper ↗ ·Advances and challenges in high-performance cathodes for protonic solid oxide fuel cells and machine learning-guided perspectives
Nano Energy · 2024
Baoyin Yuan, Ning Wang, Chunmei Tang, Ling Meng, Lei Du, Qingwen Su, Yoshitaka Aoki, Siyu Ye
Read original paper ↗ ·Machine learning advancements in organic synthesis: A focused exploration of artificial intelligence applications in chemistry
Artificial Intelligence Chemistry · 2024
Rizvi Syed Aal E Ali, Jiaolong Meng, Muhammad Ehtisham Ibraheem Khan, Xuefeng Jiang
Read original paper ↗ ·