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Papers citing Artificial Intelligence for Materials Discovery, Development, and Optimization

  1. Emerging Strategies for High-Performance 3D-Printed Electrochemical Sensors: Challenges and AI/ML Integration

    Advanced Powder Materials · 2026

    Hafsa Siddiqui, Aakarsh Etar, Jayesh Soni, S. Fernando Gomes, Thomas George Thundat, Shekhar Bhansali, Himanshu Upadhyay

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  2. Hydrogen regulated defect evolution for understanding and predicting hydrogen embrittlement

    Materials Today Communications · 2026

    Sunday Temitope Oyinbo, Abolghassem Zabihollah, Gholamreza Jazar

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  3. Machine Learning-Accelerated Advancements in Electrocatalytic CO2 Reduction

    Environmental Science & Technology · 2026

    Hao Wang, Junfeng Li, Yuquan Li, Zeqiu Chen, Xiaoyang Xuan, Hongxin Qi, Likun Pan

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  4. Multimodal Scanning Probe Microscopy for Advanced Surface and Interface Characterization

    Surface and Interface Analysis · 2026

    Behnam Esmaeilzadeh

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  5. Additive‐Assisted Modification of PDMS Nanocomposites: Rheology, Reinforcement Mechanisms, and Multifunctional Performance

    Polymer Engineering and Science · 2026

    Swaroop Kumar Mandal, Rahul Kumar, Deepak Kumar, Asisha Ranjan Pradhan

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  6. Machine learning prediction of frontier orbital energies in graphene and silicon carbide quantum dots

    Applied Physics A · 2026

    Hazem Abdelsalam, Zhilong Wang, Manal Mohammed Alkhamisi, Omar Hamed Abd-Elkader, Linzhi Zhang, Qinfang Zhang

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  7. Accelerating the discovery of high-capacity solid-state hydrogen storage materials: A predictive machine learning framework

    Micro and Nanostructures · 2026

    Muhammad Rafique, Ujjwal Dhakal, Bachirou Guene Lougou, Danish Hussain, Maroof Ali Pahnwar, Azeem Mustafa

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  8. Computational design of quantum and functional materials for next generation electronic and energy technologies

    Next Materials · 2026

    Adunni Oginni, Oluwakunle Moyofoluwa Ogunsakin, Monsuru Olarewaju Moshood, Boluwatife Oluwasegun, Emmanuel Ediri Umukoro, Opeyemi Samson Akanbi

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  9. Elastic properties of biomimetic infilled tubular metamaterials with chiral and tubular hybrid unit cell

    Thin-Walled Structures · 2026

    Yan Wang, Kejie Li, Hui Ming Yang

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  10. Data-driven meta-analysis reveals boundary-dependent pore-architecture prominence in biomass-derived carbon supercapacitors

    Journal of Energy Storage · 2026

    Qing Xu, Zhaohui Li, Shengxian Xian, Yujian Wu, Haowei Li, Shenwei Zhang, Jiurun Liu, Wenhui Huang, Wenwen Liu

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  11. Review of AI-driven discovery of cathode anode and electrolyte materials for advancing sodium-ion batteries

    Discover Industrial Chemistry and Materials · 2026

    Zhong Hu

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  12. Beyond the limit of detection: Multidimensional evaluation of smart-material-enabled electrochemical biosensors for decentralized monitoring

    TrAC Trends in Analytical Chemistry · 2026

    Pramod K. Kalambate, Rajesh Madhuvilakku, Devaraj Manoj, Yonggeun Hong

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  13. A Comprehensive Review of Tribovoltaic Nanogenerators for Real‐World Multidisciplinary Applications, Challenges, and Future Perspectives

    Advanced Materials Technologies · 2026

    Punit Gupta, Sayanti Mallick, Romy Garg, Nikhil Ram Patra, Akshay Garg, Zhi Long Zhang, Chi Zhang, Kaushik Parida

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  14. Trustworthy artificial intelligence in advanced manufacturing

    Progress in Materials Science · 2026

    Benhour Amirian, Tarek I. Zohdi, Bilen Emek Abali, Sara Bagherifard, Mark Asta, Grace X. Gu, Annalisa Buffa, Alessandro Reali, D. Rittel, Mostafa Yakout, James David Hogan

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  15. Biodegradable electronic materials and devices

    Progress in Materials Science · 2026

    Gaurav Khandelwal, Shalu Rani, Venkateswaran Vivekananthan, Shashank Mishra, Kaliyannan Manojkumar, Daniel M. Mulvihill, Themis Prodromakis, Ajay Giri Prakash Kottapalli

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  16. From waste to watts: Mechanistic design, engineering, and sustainability of textile-derived activated carbons for advanced supercapacitors

    Next Materials · 2026

    Md Raihan Hossain, Javeria Saghir, Md Shamim Alam

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  17. Machine learning for high-performance alloy design: A review

    Metals Advances · 2026

    Zinuo Wang, Qi Xu, Peng Zhou, Tao Zhang, Fuhui Wang

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  18. Sustainable and Programmable Hydrogels for Bone Regeneration: A Perspective on Green Synthesis and Precision Fabrication

    SusMat · 2026

    Jiaxin Wu, Xu Wang, Hanfei Li, Xibo Pei, Hao Feng, Jian Wang

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  19. Machine learning and autonomous discovery of twisted van der Waals quantum materials: From moiré engineering to self-driving platforms

    Materials Today Physics · 2026

    Behnam Esmaeilzadeh, Sihao Li

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  20. Photocatalytic applications of alkali-transition metal oxides from environmental remediation to solar-fuel generation: A review

    Applied Materials Today · 2026

    Carlos Hernández-Fontes, Rodolfo Zanella

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  21. Cognitive Materials Engineering for Bioelectricity and Bioelectronics: Research and Applications

    Bioelectricity · 2026

    Massimo Mariello, Mustafa B.A. Djamgoz

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