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RESEARCH PAPER · Energy Advances · 2023

Artificial intelligence-navigated development of high-performance electrochemical energy storage systems through feature engineering of multiple descriptor families of materials

Haruna Adamu, Sani Isah Abba, Paul Betiang Anyin, Yusuf Sani, Mohammad Qamar

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Artificial intelligence-navigated development of high-performance electrochemical energy storage systems through feature engineering of multiple descriptor families of materialsOriginalA Novel Hybrid Optimization Approach for Fault Detection in Photovoltaic Arrays and Inverters Using AI and Statistical Learning Techniques: A Focus on Sustainable Environment46Enhancing Battery Voltage Prediction with Deep Learning: A Comparative Analysis of LSTM and Traditional Models2Inorganic–organic modular silicon and dye-sensitized solar cells and predicted role of artificial intelligence towards efficient and stable solar chargers based on supercapacitors4Strategic engineering of NiO/Co3O4/rGO hybrid composite as a cathode material to enhance the electrochemical performance of supercapattery devices8Attention towards chemistry agnostic and explainable battery lifetime prediction24Carbon‐Based 3D Architectures as Anodes for Lithium‐Ion Battery Systems28Waves of change: Electrochemical innovations for environmental management and resource recovery from water – A review24Stabilized oily-wastewater separation based on superhydrophilic and underwater superoleophobic ceramic membranes: Integrated experimental design and standalone machine learning algorithms10Engineering the Invisible2A review on copper-based chalcogenide materials for supercapacitor application: exploring through experimental evidence and machine learning11Advanced carbon nanomaterials for high-performance energy storage technologies8Artificial intelligence-assisted electrochemical sensors for qualitative and semi-quantitative multiplexed analyses30The Synergy Between Modified Electrodes and Artificial Intelligence: Advancing Electrochemical Applications Through Data-Driven Approaches. A Review0Transition metal phosphide/ molybdenum disulfide heterostructures towards advanced electrochemical energy storage: recent progress and challenges40Advancements in graphene-based nanostructured conducting polymer hybrid composite electrodes for high-performance supercapacitors33Applications of machine learning in surfaces and interfaces30Comparative Study of Hydrogen Storage and Metal Hydride Systems: Future Energy Storage Solutions47Artificial intelligence in state of charge estimation: Pioneering approaches across energy storage systems18Investigating Family Dynamics and Children's Safety in the era of Artificial Intelligence0Effects of electrolyte concentration on the performance of biowaste-derived supercapacitors5Introduction to artificial intelligence in chemical engineering0Solid-state battery: An emerging transformation of battery technology in electric vehicle applications6Can energy digitization drive the speed and ability to green technology innovation? empirical evidence from listed Chinese energy firms3Advances in structural engineering and electrochemical insights of MXene-based derivates for next generation micro-supercapacitor with tuneable ink, microelectrode design, and scalable manufacturing strategies11Convergence of Computational Materials Science and AI for Next-Generation Energy Storage Materials6AI‐Driven Optimization of Waste‐Derived Nanocomposites for High‐Performance Microbial Fuel Cells4Beyond batteries: Architecting materials through surface chemistry and engineering for revolutionizing hydrogen storage3Life Cycle Assessment of Solid-State Batteries with AI-Enhanced Predictive and Recycling Models0A review on metal recovery from spent lithium ion batteries for fabrication of supercapacitor and their applications1AI-Driven Hybrid Optimization of BiFeO3-rGO Nanocomposites for High-Performance Energy Storage0Machine learning toward electrochemical energy storage materials and devices: A review5Marco conceptual para el diseño optimizado de superficies bioinspiradas mediante aprendizaje automático0Artificial intelligence for energy storage systems: State of the art and future perspectives1Machine learning-guided design of engineered metal-organic frameworks for sustainable hydrogen storage and production0Recent advances in carbon materials for energy storage applications: a comprehensive review of supercapacitors and lithium-ion batteries0When universal machine learning models fail in capacitance prediction for carbon-based supercapacitors: Leakage-aware validation and electrolyte screening0

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  1. A Novel Hybrid Optimization Approach for Fault Detection in Photovoltaic Arrays and Inverters Using AI and Statistical Learning Techniques: A Focus on Sustainable Environment

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    Ahmad Abubakar, Mahmud M. Jibril, Carlos Frederico Meschini Almeida, Matheus Mingatos Fernandes Gemignani, Mukhtar N. Yahya, Sani Isah Abba

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  2. Enhancing Battery Voltage Prediction with Deep Learning: A Comparative Analysis of LSTM and Traditional Models

    IEEE International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) · 2023-12-15

    M. Rostam Niakan Kalhori, Mojtaba Hajihosseini, Seyed Saeed Madani, Carlos Ziebert

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  3. Inorganic–organic modular silicon and dye-sensitized solar cells and predicted role of artificial intelligence towards efficient and stable solar chargers based on supercapacitors

    Scientific Reports · 2024-03-13

    Ireneusz Plebankiewicz, Krzysztof Artur Bogdanowicz, Paweł Kwaśnicki, Wojciech Przybył, Magdalena Skunik‐Nuckowska, Paweł J. Kulesza, Agnieszka Iwan

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  4. Strategic engineering of NiO/Co3O4/rGO hybrid composite as a cathode material to enhance the electrochemical performance of supercapattery devices

    Journal of Energy Storage · 2024-03-26

    Geerthana Mummoorthi, Kamarajar Prakash, J. Archana, Senthil Kumar Eswaran, Mani NAVANEETHAN

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  5. Attention towards chemistry agnostic and explainable battery lifetime prediction

    npj Computational Materials · 2024-05-10

    Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, Kathrin Michel, Leon Merker, Balázs B. Berkes, Leah Nuss, Helge Sören Stein

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  6. Carbon‐Based 3D Architectures as Anodes for Lithium‐Ion Battery Systems

    ChemPlusChem · 2024-07-20

    Junaid Aslam, Muhammad Ahsan Waseem, Yifan Zhang, Yong Wang

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  7. Waves of change: Electrochemical innovations for environmental management and resource recovery from water – A review

    Journal of Environmental Management · 2024-07-22

    Sivasubramanian Manikandan, Santhana Raj Deena, Ramasamy Subbaiya, Dhanasingh Sivalinga Vijayan, Vickram Agaram Sundaram, B. Preethi, Natchimuthu Karmegam

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  8. Stabilized oily-wastewater separation based on superhydrophilic and underwater superoleophobic ceramic membranes: Integrated experimental design and standalone machine learning algorithms

    Journal of the Taiwan Institute of Chemical Engineers · 2024-08-14

    Jamilu Usman, Sani Isah Abba, Abdullahi Garba Usman, Lukka Thuyavan Yogarathinam, Abdullah Bafaqeer, Nadeem Baig, Isam H. Aljundi

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  9. Engineering the Invisible

    Advances in chemical and materials engineering book series · 2024-11-22

    Krishnappa Madhu Kumar, Manjappa Kiran Kumar, Nivedita Kumar, L. Sampath Kumar

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  10. A review on copper-based chalcogenide materials for supercapacitor application: exploring through experimental evidence and machine learning

    Journal of Materials Chemistry A · 2025-01-01

    M. Mohan Ram, R. Sapna, Sachin R. Rondiya, K. Hareesh

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  11. Advanced carbon nanomaterials for high-performance energy storage technologies

    Next Nanotechnology · 2025-01-01

    Meenakshi Gusain, Monika Sindhu, Arpan Tewary

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  12. Artificial intelligence-assisted electrochemical sensors for qualitative and semi-quantitative multiplexed analyses

    Digital Discovery · 2025-01-01

    Rocco Cancelliere, Mario Molinara, Antonio Licheri, Antonio Maffucci, Laura Micheli

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  13. The Synergy Between Modified Electrodes and Artificial Intelligence: Advancing Electrochemical Applications Through Data-Driven Approaches. A Review

    Springer proceedings in physics · 2025-01-01

    Hajar Oumoussa, Mohamed Bendany, Khalid Ait Ben Brahim, Youssra El Hamdouni, Meryem Bensemlali, Najoua Labjar, Mohamed Dalimi, Abdellatif Aarfane, Hamid Nasrellah, Mohamed Kissi, Souad El Hajjaji

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  14. Transition metal phosphide/ molybdenum disulfide heterostructures towards advanced electrochemical energy storage: recent progress and challenges

    RSC Advances · 2025-01-01

    Ali Shahmohammadi, Samad Dalvand, Aysan Molaei, Seyed Morteza Mousavi-Khoshdel, Najmeh Yazdanfar, Mohammad Hasanzadeh

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  15. Advancements in graphene-based nanostructured conducting polymer hybrid composite electrodes for high-performance supercapacitors

    Journal of Power Sources · 2025-01-11

    Paramjit Singh, Avtar Singh, Rashmi Saini, Deepika, P. K. Kulriya, Rajesh Kumar

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  16. Applications of machine learning in surfaces and interfaces

    Chemical Physics Reviews · 2025-03-01

    Shaofeng Xu, Jing‐Yuan Wu, Ying Guo, Qing Zhang, Xiaoxia Zhong, Jinjin Li, Wei Li Ren

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  17. Comparative Study of Hydrogen Storage and Metal Hydride Systems: Future Energy Storage Solutions

    Processes · 2025-05-14

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  18. Artificial intelligence in state of charge estimation: Pioneering approaches across energy storage systems

    Energy · 2025-08-23

    Nadiya Mehraj, Carles Mateu, Héctor Bastida, Yongliang Li, Yulong Ding, Adriano Sciacovelli, Luisa F. Cabeza

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  19. Investigating Family Dynamics and Children's Safety in the era of Artificial Intelligence

    Advances in computational intelligence and robotics book series · 2025-08-29

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  20. Effects of electrolyte concentration on the performance of biowaste-derived supercapacitors

    Journal of Power Sources · 2025-10-10

    Yulin Zhang, Xu Li, Saurabh Singh, Fuqian Yang

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  21. Introduction to artificial intelligence in chemical engineering

    Elsevier eBooks · 2025-10-17

    Bilal Fareed, Tazien Rashid, Farooq Sher, Naadhira Seedat, Miguel Angel Pans Castillo, Anka Trajkovska Petkoska, Edisa Papraćanin, Mika E. T. Sillanpää

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  22. Solid-state battery: An emerging transformation of battery technology in electric vehicle applications

    Journal of Energy Storage · 2025-10-22

    Maher G. M. Abdolrasol, Shaheer Ansari, Siti Rosilah Arsad, Tiong Sieh Kiong, M. A. Hannan

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  23. Can energy digitization drive the speed and ability to green technology innovation? empirical evidence from listed Chinese energy firms

    Sustainable Energy Technologies and Assessments · 2025-11-08

    Jun Tang, Ruikun An, Zhao Xu

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  24. Advances in structural engineering and electrochemical insights of MXene-based derivates for next generation micro-supercapacitor with tuneable ink, microelectrode design, and scalable manufacturing strategies

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  25. Convergence of Computational Materials Science and AI for Next-Generation Energy Storage Materials

    Journal of Electronic Materials · 2025-11-21

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  26. AI‐Driven Optimization of Waste‐Derived Nanocomposites for High‐Performance Microbial Fuel Cells

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  27. Beyond batteries: Architecting materials through surface chemistry and engineering for revolutionizing hydrogen storage

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  28. Life Cycle Assessment of Solid-State Batteries with AI-Enhanced Predictive and Recycling Models

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  29. A review on metal recovery from spent lithium ion batteries for fabrication of supercapacitor and their applications

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  30. AI-Driven Hybrid Optimization of BiFeO3-rGO Nanocomposites for High-Performance Energy Storage

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  31. Machine learning toward electrochemical energy storage materials and devices: A review

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  32. Marco conceptual para el diseño optimizado de superficies bioinspiradas mediante aprendizaje automático

    EPISTEMUS · 2026-06-29

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  33. Artificial intelligence for energy storage systems: State of the art and future perspectives

    Materials Science in Semiconductor Processing · 2026-07-02

    Yedluri Anil Kumar, Tholkappiyan Ramachandran, Laxman Singh, Mani Durai, Kwun Nam Hui, Akhilesh Kumar Yadav, Duc Anh Dinh

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  34. Machine learning-guided design of engineered metal-organic frameworks for sustainable hydrogen storage and production

    International Journal of Hydrogen Energy · 2026-09-18

    Sadegh Kaviani, Satyendra Kumar Satyarthi, Mkrtich Yeranosyan

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  35. Recent advances in carbon materials for energy storage applications: a comprehensive review of supercapacitors and lithium-ion batteries

    Journal of Industrial and Engineering Chemistry · 2026-10-01

    Yufan Ge, Brahim El Allaoui, Tao Wu, Di Hu, Cheng Heng Pang

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  36. When universal machine learning models fail in capacitance prediction for carbon-based supercapacitors: Leakage-aware validation and electrolyte screening

    Electrochimica Acta · 2026-10-05

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