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RESEARCH PAPER · Nano Research · 2025

Machine learning-driven material intelligence research and development

Huijie Zhou, Jiming Xu, Xinyu Qin, Jing Zhang, Wenjiang Zou, Mohsen Shakouri, Jiang Xu, Lvzhou Li, Jianning Ding, Huan Pang

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14 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
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42 direct citing works

Machine learning-driven material intelligence research and developmentOriginalThe Coordination Problem in Multi-Model Materials AI Pipelines0When Models Agree for the Wrong Reasons: A Conceptual Analysis of Consensus in Materials AI0Generative Models for Materials Science — Conceptual Capabilities and Scientific Limits: A Review Study0Multi-Model and Hybrid AI Systems in Materials Research — Architectures and Trade-Offs0Scientific Decision-Making with Materials AI — How Models Actually Influence Action: A Review Study1Temporal Myopia in AI-Accelerated Materials Research0Research on the Variation Law of Resistivity of Composite Insulating Materials under Multiple Physical Fields0New Frontiers in AI-Nano Converged Platforms for Intelligent Diagnostics, Therapeutics, and Safety Evaluation2XRL-QNet: an explainable reinforcement learning framework for optimizing and evaluating quantum dots fabrication0Machine learning–enabled intelligent hydrogels: applications and future perspectives1Automated microscope lens centering and adjustment using machine vision0Machine learning-driven surface and interface engineering in perovskite quantum dots for photoluminescence-based and chemical sensing platforms0Intelligent Tetracycline Sensing With Carbon Quantum Dots: From Photophysical Engineering to Machine Learning‐Enhanced Detection0Radioprotective nanomedicines: New horizons in mitigating radiation-induced tissue injury0

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14 direct citing papers saved.

  1. The Coordination Problem in Multi-Model Materials AI Pipelines

    Journal of Artificial Intelligence for Materials Science · 2022-01-01

    Li Zhang, Wei Chen

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  2. When Models Agree for the Wrong Reasons: A Conceptual Analysis of Consensus in Materials AI

    Journal of Artificial Intelligence for Materials Science · 2022-01-01

    Nguyen Thanh Huy, Pham Quang Minh, Le Thi Bich

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  3. Generative Models for Materials Science — Conceptual Capabilities and Scientific Limits: A Review Study

    Journal of Artificial Intelligence for Materials Science · 2023-01-01

    Laura Meier, Daniel Fischer, Thomas Braun, Stefan Koch

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  4. Multi-Model and Hybrid AI Systems in Materials Research — Architectures and Trade-Offs

    Journal of Artificial Intelligence for Materials Science · 2023-01-01

    Nguyen Thanh Huy, Le Thi Bich, Pham Quang Minh

    Read original paper ↗ ·

  5. Scientific Decision-Making with Materials AI — How Models Actually Influence Action: A Review Study

    Journal of Artificial Intelligence for Materials Science · 2023-01-01

    Bruno Martins, Lucas Pereira

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  6. Temporal Myopia in AI-Accelerated Materials Research

    Journal of Artificial Intelligence for Materials Science · 2023-01-01

    Lucas Pereira, Bruno Martins, Renata Azevedo

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  7. Research on the Variation Law of Resistivity of Composite Insulating Materials under Multiple Physical Fields

    Journal of Electronic Materials · 2025-12-03

    Shuai Zhou, Shanghe Liu, Xiaofeng Hu, Hongfei Li, Ming Wei, Jianping Zhang, Lei Wang, Yingying Wang

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  8. New Frontiers in AI-Nano Converged Platforms for Intelligent Diagnostics, Therapeutics, and Safety Evaluation

    Chem & Bio Engineering · 2026-03-28

    Huijie Zhou, Jiming Xu, Xinyu Qin, Jing Zhang, Wenjiang Zou, Mohsen Shakouri, Jun Wu, Lvzhou Li, Yuping Li, Jianning Ding, Huan Pang

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  9. XRL-QNet: an explainable reinforcement learning framework for optimizing and evaluating quantum dots fabrication

    Nanotechnology · 2026-04-27

    M.IRSHAD AHAMED, Vivekanandhan A, Senthil Mahesh P C, Saahira Banu Ahamed

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  10. Machine learning–enabled intelligent hydrogels: applications and future perspectives

    Materials & Design · 2026-04-30

    Nan Zhang, Qinghua Meng, Miaomiao Xiao, Luxing Zhou, Hongxiu Leng, Chunyu Bao, Xuequan Feng, Yuanjun Wang

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  11. Automated microscope lens centering and adjustment using machine vision

    Instrumentation Science & Technology · 2026-05-21

    J N Lu, Zhiming Zhao, Zhiguo Li, Naiyu Wang

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  12. Machine learning-driven surface and interface engineering in perovskite quantum dots for photoluminescence-based and chemical sensing platforms

    Results in Surfaces and Interfaces · 2026-06-19

    Ghaleb Oriquat, Kwthr Hafdh Jbar, Omayma Salim Waleed, Manoj A. Vora, Roopashree R, Lalita Chopra, Sadridin Eshkaraev, Dushamov Dilshod Azadovich, Hadi Noorizadeh

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  13. Intelligent Tetracycline Sensing With Carbon Quantum Dots: From Photophysical Engineering to Machine Learning‐Enhanced Detection

    Engineering Reports · 2026-07-01

    Mohamed Abu Shuheil, Rasha Eldalawy, Irwanjot Kaur, Ahmed Aldulaimi, Nada Othman Kattab, Kamal Kishore Thakur, Khushnud Azizjanov, Mukhammadali Buriev, Ahmad Amiri

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  14. Radioprotective nanomedicines: New horizons in mitigating radiation-induced tissue injury

    Current Radiopharmaceuticals · 2026-09-01

    Gaurav Tiwari, Sumiti Narayan Tewari, Kamran Javed Naquvi, Kommu Pradeep, Rishi Pal, Sajid Ali, Nagaraja Sreeharsha, Varsha Deva, Pankaj Sharma

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