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RESEARCH PAPER · Scientific Data · 2024

Unleashing the power of AI in science-key considerations for materials data preparation

Yongchao Lu, Hong Wang, Lanting T. Zhang, Ning Yu, Siqi Shi, Hang Su

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42 direct citing works

Unleashing the power of AI in science-key considerations for materials data preparationOriginalAlgorithmic Attention as Scientific Bias: A Conceptual Analysis for Materials AI0Failure, Uncertainty, and Risk in Materials AI — How Negative Outcomes Are Handled Across the Literature: A Review Study0Scientific Overconfidence in High-Performing Materials AI Systems0Synthetic Data as Scientific Intervention: A Conceptual Framework for Materials AI0Revolutionizing supramolecular materials design with artificial intelligence12Generative Artificial Intelligence for Advancing Discovery and Design in Biomateriomics20Polyetheretherketone biomaterials and their current progress, modification-based biomedical applications and future challenges30A fine-tuned large language model based molecular dynamics agent for code generation to obtain material thermodynamic parameters12Artificial intelligence in materials science and engineering: Current landscape, key challenges, and future trajectories33Topography-based implants for bone regeneration: Design, biological mechanism, and therapeutics14Materials informatics: A review of AI and machine learning tools, platforms, data repositories, and applications to architectured porous materials41Tooling Artificial Intelligence in Polymeric Nanofillers: A Review0A quantitative criterion for evidencing predicted compounds in high-throughput powder X-ray diffraction data: Illustration with half-antiperovskite0Design of Stiff, Tough, and Fast‐Recovery Protein Hydrogels6Blockchain Technology for Big-data Sharing in Material Genome Engineering2Benchmarking Practices in Materials Artificial Intelligence — What Is Measured and What Is Missed0Machine learning-driven research in wood science: from prediction to understanding through the framework of Wood Informatics5Towards a sustainable high-quality materials data ecosystem: frameworks and strategies6Federated learning for 2D synchrotron x-ray diffractometry: a cross-institutional approach for phase quantification of Ti–6Al–4V alloy1Review of Progress of AI in Biomimetics: From Biological Patterns to Closed-Loop Discovery2AI-Powered Biomaterial Design for Tissue Engineering2Emerging Strategies in Nanomaterial‐Engineered Biopolymeric Superabsorbents for Climate‐Resilient Water and Nutrient Management0

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  1. Algorithmic Attention as Scientific Bias: A Conceptual Analysis for Materials AI

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

    Lucas Meyer, Stefan Braun, Anna Schmid

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  2. Failure, Uncertainty, and Risk in Materials AI — How Negative Outcomes Are Handled Across the Literature: A Review Study

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

    Ravi Menon, Arjun Nair, Meera Pillai, Suresh Varma

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  3. Scientific Overconfidence in High-Performing Materials AI Systems

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

    Ahmed Mansour, Omar Saeed

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  4. Synthetic Data as Scientific Intervention: A Conceptual Framework for Materials AI

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

    Ravi Kumar, Neha Sharma, Aniket Deshmukh, Arjun Nair

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  5. Revolutionizing supramolecular materials design with artificial intelligence

    Supramolecular Materials · 2024-12-21

    Haoqi Zhu, Zhongyi Wang, Luofei Li, Liang Dong, Ying Li, Bin Xue, Yi Cao

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  6. Generative Artificial Intelligence for Advancing Discovery and Design in Biomateriomics

    Intelligent Computing · 2025-01-01

    Raffaele Pugliese, Silvia Badini, Emanuele Frontoni, Stefano Regondi

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  7. Polyetheretherketone biomaterials and their current progress, modification-based biomedical applications and future challenges

    Materials & Design · 2025-02-20

    Zuge Yang, Weiwei Guo, Wenhao Yang, Jianye Song, Wenhui Hu, Kun Wang

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  8. A fine-tuned large language model based molecular dynamics agent for code generation to obtain material thermodynamic parameters

    Scientific Reports · 2025-03-25

    Zhuofan Shi, Chunxiao Xin, Tong Huo, Yuntao Jiang, Bowen Wu, Xingyue Chen, Wei Dong Qin, Xinjian Ma, Gang Huang, Zhenyu Wang, Xiang Jing

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  9. Artificial intelligence in materials science and engineering: Current landscape, key challenges, and future trajectories

    Composite Structures · 2025-07-05

    Iman Peivaste, Salim Belouettar, Francesco Mercuri, Nicholas Fantuzzi, Hamidreza Dehghani, Razie Izadi, Halliru Ibrahim, Jakub Lengiewicz, Mael Belouettar-Mathis, Kouider Bendine, Ahmed Makradi, Martin Horsch, Peter Klein, M. Hachemi, Heinz A. Preisig, Yacine Rezgui, Natalia Konchakova, Ali Daouadji

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  10. Topography-based implants for bone regeneration: Design, biological mechanism, and therapeutics

    Materials Today Bio · 2025-07-15

    Weiwei Guo, Zuge Yang, Fuwei Liu, Jianye Song, Wenhao Yang, Yunpeng Li, Wenhui Hu, Kun Wang

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  11. Materials informatics: A review of AI and machine learning tools, platforms, data repositories, and applications to architectured porous materials

    Materials Today Communications · 2025-08-07

    Fatima Živić, Ana M. Kaplarevic-Malisic, Nenad Grujović, Boban S. Stojanovic, Milos R. Ivanovic

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  12. Tooling Artificial Intelligence in Polymeric Nanofillers: A Review

    Nanoscience &amp Nanotechnology-Asia · 2025-08-28

    Amarachi Udoka Nkwoada, Anukam Basil N, Gladstone Azubuike Otuuh, Simeon C. Nwanonenyi, Tochukwu Ifeanyi Nwakile, Chibuzo Gideon Odo, Chijioke Michael Amakom, Ali Bilar

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  13. A quantitative criterion for evidencing predicted compounds in high-throughput powder X-ray diffraction data: Illustration with half-antiperovskite

    Acta Materialia · 2025-09-17

    Kyoka Nagashima, P. Klavins, Valentin Taufour

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  14. Design of Stiff, Tough, and Fast‐Recovery Protein Hydrogels

    Chinese Journal of Chemistry · 2025-10-03

    Ruiqing Wang, Yuan Gao, Wei Wang, Bin Xue, Yi Cao

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  15. Blockchain Technology for Big-data Sharing in Material Genome Engineering

    Scientific Data · 2025-11-18

    Ran Wang, Fangwen Ye, S.H. Tang, Hangning Zhang, Jie He, Xiaotong Zhang, Cheng Xu

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  16. Benchmarking Practices in Materials Artificial Intelligence — What Is Measured and What Is Missed

    Journal of Artificial Intelligence for Materials Science · 2026-01-01

    Fatima Zahra Amrani, Youssef Benali, Samira El-Haddad

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  17. Machine learning-driven research in wood science: from prediction to understanding through the framework of Wood Informatics

    Journal of Wood Science · 2026-02-05

    Sung‐Wook Hwang

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  18. Towards a sustainable high-quality materials data ecosystem: frameworks and strategies

    National Science Review · 2026-02-13

    Bing He, Kaixuan Wang, Zhou Jiang, Yueyu Zhang, Maxim Avdeev, Siqi Shi

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  19. Federated learning for 2D synchrotron x-ray diffractometry: a cross-institutional approach for phase quantification of Ti–6Al–4V alloy

    Machine Learning Science and Technology · 2026-03-23

    Weiqi Yue, Qingzhe Guo, Mohommad Redad Mehdi, Gabriel Ponon, Ozan Dernek, Ayorinde E. Olatunde, Pawan Kumar Tripathi, Bonnie Whitney, Anthony G. Spangenberger, Diana A. Lados, Donald W. Brown, Bjørn Clausen, Amit Samanta, F. Ernst, Matthew A. Willard, Erman Ayday, Roger Harquail French

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  20. Review of Progress of AI in Biomimetics: From Biological Patterns to Closed-Loop Discovery

    Biomimetics · 2026-05-03

    Zhong Hu, Haiping Hong, Tim Lin

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  21. AI-Powered Biomaterial Design for Tissue Engineering

    Artificial intelligence · 2026-07-20

    Eghosasere Egbon

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  22. Emerging Strategies in Nanomaterial‐Engineered Biopolymeric Superabsorbents for Climate‐Resilient Water and Nutrient Management

    Journal of Applied Polymer Science · 2026-10-05

    Anurag Ajgalle, Chinmaya Mahapatra

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