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RESEARCH PAPER · Journal of Composites Science · 2021

Artificial Intelligence Application in Solid State Mg-Based Hydrogen Energy Storage

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42 direct citing works

Artificial Intelligence Application in Solid State Mg-Based Hydrogen Energy StorageOriginalPlasmonic Hydrogen Sensors56Influence of High Energy Ball Milling and Dispersant on Capacitive Properties of Fe2O3—Carbon Nanotube Composites15Predicting the Heat of Hydride Formation by Graph Neural Network ‐ Exploring the Structure–Property Relation for Metal Hydrides23Activation energy study on nanostructured niobium substituted Mg2Ni intermetallic alloy for hydrogen storage application13Artificial intelligence driven hydrogen and battery technologies – A review201Microstructural Evaluation and Fracture Behavior of AZ31/Nb2O5 Metal Matrix Composite3Socio-technical barriers to domestic hydrogen futures: Repurposing pipelines, policies, and public perceptions148Machine learning-based high-throughput screening of Mg-containing alloys for hydrogen storage and energy conversion applications41Artificial intelligence and structural design of inorganic hollow fiber membranes: Materials chemistry21Impact of gaseous interferents on palladium expansion for hydrogen optical sensing: A time stability study13Knowledge-Based Modeling Approach: A Schematic Design of Artificial Intelligence of Things (AIoT) for Hydrogen Energy System17H2 URESONIC: Design of a Solar-Hydrogen University Renewable Energy System for a New and Innovative Campus15First principles exploration of structural, mechanical, thermodynamic, optic, electronic and dynamic properties of MgNiX (X=Bi, Ge, Sb) for energy storage applications3Review of computational advances in tailoring magnesium-hydrogen interactions: Atomistic simulations meet machine learning13Estimation of hydrogen solubility in aqueous solutions using machine learning techniques for hydrogen storage in deep saline aquifers20Recent Advancements in Applying Machine Learning in Power-to-X Processes: A Literature Review27Machine Learning in Solid‐State Hydrogen Storage Materials: Challenges and Perspectives92Artificial intelligence and robotics in the hydrogen lifecycle: A systematic review22An insight into the application and progress of artificial intelligence in the hydrogen production industry: A review9Hydrogen carriers for hydrogen transport and storage (hydrogen Storage): A review24Hydrogen-fueled technologies supported by artificial intelligence and machine learning0Magnesium-based hydrides and high-entropy alloys: A review of advancements and pathways for next-generation hydrogen storage materials0Machine learning-driven multi-property prediction and interpretation for Mg-based hydrogen storage alloys2

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  1. Plasmonic Hydrogen Sensors

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    Bin Ai, Yujing Sun, Yiping Zhao

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  2. Influence of High Energy Ball Milling and Dispersant on Capacitive Properties of Fe2O3—Carbon Nanotube Composites

    Journal of Composites Science · 2022-06-17

    Chengwei Zhang, Igor Zhitomirsky

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  3. Predicting the Heat of Hydride Formation by Graph Neural Network ‐ Exploring the Structure–Property Relation for Metal Hydrides

    Advanced Theory and Simulations · 2022-07-01

    Katarina Batalović, Jana Radaković, Bojana Paskaš Mamula, Bojana Kuzmanović, Mirjana Medić Ilić

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  4. Activation energy study on nanostructured niobium substituted Mg2Ni intermetallic alloy for hydrogen storage application

    Physica Scripta · 2022-11-24

    K. S. Nivedhitha, R. Venkatesh, Nagaraj Ramalingayya Banapurmath

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  5. Artificial intelligence driven hydrogen and battery technologies – A review

    Fuel · 2022-12-01

    A. Ramesh, S. Vigneshwar, Vickram Agaram Sundaram, Sivasubramanian Manikandan, Ramasamy Subbaiya, Natchimuthu Karmegam, Woong Kim

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  6. Microstructural Evaluation and Fracture Behavior of AZ31/Nb2O5 Metal Matrix Composite

    Journal of Composites Science · 2022-12-14

    Song‐Jeng Huang, Manas Sarkar, Sathiyalingam Kannaiyan

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  7. Socio-technical barriers to domestic hydrogen futures: Repurposing pipelines, policies, and public perceptions

    Applied Energy · 2023-02-22

    Joel A. Gordon, Nazmiye Balta‐Ozkan, Seyed Ali Nabavi

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  8. Machine learning-based high-throughput screening of Mg-containing alloys for hydrogen storage and energy conversion applications

    Journal of Energy Storage · 2023-05-20

    Katarina Batalović, Jana Radaković, Bojana Kuzmanović, Mirjana Medić Ilić, Bojana Paskaš Mamula

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  9. Artificial intelligence and structural design of inorganic hollow fiber membranes: Materials chemistry

    Chemosphere · 2023-07-17

    Muhammad Mubashir, Tausif Ahmad, Xiaowei Liu, Lubna Muzamil Rehman, Jean-Pierre Benjamin Boross de Levay, Reham Al Nuaimi, Roshni Lilly Thankamony, Zhiping Lai

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  10. Impact of gaseous interferents on palladium expansion for hydrogen optical sensing: A time stability study

    Optics & Laser Technology · 2023-10-22

    Miguel A. S. Almeida, José M. M. M. de Almeida, L. Coelho

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  11. Knowledge-Based Modeling Approach: A Schematic Design of Artificial Intelligence of Things (AIoT) for Hydrogen Energy System

    IEEE Annual Computing and Communication Workshop and Conference (CCWC) · 2024-01-08

    Salaki Reynaldo Joshua, Sanguk Park, Ki-Hyeon Kwon

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  12. H2 URESONIC: Design of a Solar-Hydrogen University Renewable Energy System for a New and Innovative Campus

    Applied Sciences · 2024-02-15

    Salaki Reynaldo Joshua, Sanguk Park, Ki-Hyeon Kwon

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  13. First principles exploration of structural, mechanical, thermodynamic, optic, electronic and dynamic properties of MgNiX (X=Bi, Ge, Sb) for energy storage applications

    Materials Today Communications · 2024-05-31

    Çağatay Yamçıçıer, Selgin Al

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  14. Review of computational advances in tailoring magnesium-hydrogen interactions: Atomistic simulations meet machine learning

    International Journal of Hydrogen Energy · 2024-10-04

    Katarina Batalović, Bojana Paskaš Mamula, Mirjana Medić Ilić, Bojana Kuzmanović, Jana Radaković, Branislav Stanković, Nikola Novaković

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  15. Estimation of hydrogen solubility in aqueous solutions using machine learning techniques for hydrogen storage in deep saline aquifers

    Scientific Reports · 2024-10-29

    Mohammad Rasool Dehghani, Hamed Nikravesh, Maryam Aghel, Moein Kafi, Yousef Kazemzadeh, Ali Ranjbar

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  16. Recent Advancements in Applying Machine Learning in Power-to-X Processes: A Literature Review

    Sustainability · 2024-11-02

    S. Mohammad Shojaei, Reihaneh Aghamolaei, Mohammad Reza Ghaani

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  17. Machine Learning in Solid‐State Hydrogen Storage Materials: Challenges and Perspectives

    Advanced Materials · 2024-12-20

    Panpan Zhou, Qianwen Zhou, Xuezhang Xiao, Xiulin Fan, Yongjin Zou, Lixian Sun, Jinghua Jiang, Dan Song, Lixin Chen

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  18. Artificial intelligence and robotics in the hydrogen lifecycle: A systematic review

    International Journal of Hydrogen Energy · 2025-03-01

    Paulina Quintanilla, Ayman Elhalwagy, Lijia Duan, Salman Masoudi Soltani, Chun Sing Lai, Pantea Foroudi, Md Nazmul Huda, Monomita Nandy

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  19. An insight into the application and progress of artificial intelligence in the hydrogen production industry: A review

    Materials Today Sustainability · 2025-03-07

    Mostafa Jamali, Najmeh Hajialigol, Abolfazl Fattahi

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  20. Hydrogen carriers for hydrogen transport and storage (hydrogen Storage): A review

    Materials Chemistry and Physics · 2025-07-15

    Matoke Peter Mose, Sathiyalingam Kannaiyan, Song‐Jeng Huang

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  21. Hydrogen-fueled technologies supported by artificial intelligence and machine learning

    Elsevier eBooks · 2025-09-23

    Lingala Syam Sundar, Balakrishnan Deepanraj, I.M. Rizwanul Fattah

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  22. Magnesium-based hydrides and high-entropy alloys: A review of advancements and pathways for next-generation hydrogen storage materials

    Review of Materials Research · 2026-06-01

    Joseph Dela Aziafor, Bongani Seeke Ramatsoma, Nihad Omer Hassan, Abdalrhaman Koko, Michael Oluwatosin Bodunrin, Desmond Edem Primus Klenam

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  23. Machine learning-driven multi-property prediction and interpretation for Mg-based hydrogen storage alloys

    Physica B Condensed Matter · 2026-06-15

    Yu Xie, Qi Lai, Xingping Wei, Cai Jianxun, Yi Wu

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