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Papers citing Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics

  1. A State of the Art on Applications, Recent Challenges, and Future Trends of Artificial Intelligence

    International Conference on Power, Instrumentation, Control and Computing (PICC) · 2025

    S. Sharmila Kumari, S. Suja Priyadharsini

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  2. Uncovering battery electrochemical mechanisms by artificial intelligence

    National Science Review · 2025

    Zhiyuan Han, Jiaqi Zhou, Gongxun Lu, Zhihong Piao, Shengyu Tao, Runhua Gao, Chuang Li, Xuan Zhang, Guangmin Zhou

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  3. Emerging group-VA 2D materials: Antimonene and bismuthene for nanoelectronics and energy storage

    Journal of Alloys and Compounds · 2025

    Yedluri Anil Kumar, Reddi Mohan Naidu Kalla, Abdullah Godran Al-Sehemi, Ezhakudiyan Ravindran, Ramanadha Mangiri

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  4. Advanced Liquid Crystal Materials at Microwave and Millimeter‐Wave Frequencies: Design, Properties, and Applications

    Advanced Functional Materials · 2025

    Huan Liu, Yufan Feng, Yuan Liu, Cristian Valenzuela, Sensheng Chen, Ling Wang, Huai Yang

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  5. Signal-aware synthesis of tissue polarization uniformity from OCT images guided by an SNR-based heuristic

    Expert Systems with Applications · 2025

    Yuheng Wang, Chris Zhou, Jiayue Cai, Xin Lu, Shuo Tang, John D. W. Madden, Orlando José Rojas, Sunil Kalia, Z. Jane Wang, Daniel C. Louie, Tim K. Lee

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  6. Multimodal Operando Characterization Platform for Monitoring Lithium-ion Battery Pouch-Cell

    The Journal of Physical Chemistry Letters · 2025

    Haitang Zhang, Wenbin Tu, Xiaohong Wu, Jiyuan Xue, Yuan Tian, Jianken Chen, Qiongqiong Qi, Yeguo Zou, Junhao Wang, Jing‐Hua Tian, Yu Qiao, Shi‐Gang Sun

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  7. Aircraft Fault Knowledge Graph Construction Based on Large Language Model Incorporating Chinese Airworthiness Knowledge

    International Journal of Software Engineering and Knowledge Engineering · 2025

    Yi Hang Fan, Yu Sun, Baigang Mi, Xiaowu Fu

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  8. Artificial intelligence transforming materials research: possible road ahead for India

    Proceedings of the Indian National Science Academy · 2025

    Prasenjit Sen

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  9. Recent advances in graphene-based flexible tactile sensor

    Materials Today Electronics · 2025

    Wenkai Zhu, Yukai Zhou, YongChang Jiang, Wen Cheng, Lijia Pan, Yi Shi

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  10. Machine learning in nanoscience and beyond: Workflows, data processing, XAI and ITAP metrics, language-based models

    Advances in Colloid and Interface Science · 2025

    Junnan Song, Qingjie Sun, André G. Skirtach, Bogdan V. Parakhonskiy

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  11. Artificial intelligence in the development of structural and functional materials: A transformative frontier and complementary enabler of the rational alloy design framework

    Next research. · 2025

    Desmond Edem Primus Klenam

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  12. Design Principles for Non-Iridium-Based Oxygen Evolution Catalysts in Proton Exchange Membrane Water Electrolyzers

    ACS Energy Letters · 2025

    Hyunsoo Ahn, Hyunsoo Ji, Junseok Moon, Megalamane Siddaramappa Bootharaju, Taeghwan Hyeon, Byoung-Hoon Lee

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  13. Backward Mapping from Device Targets to Chemical Genomes for Interpretable Discovery of Phase-Stable Lead-Free Double Perovskites with DFT-Validated Design Rules

    SSRN Electronic Journal · 2026

    Nafis Ahtasum, Sohanur Rahman Sohan, Md. Mostaq Ahmed Himel, Md. Zahid Hassan, Muhammad Harussani Moklis, Md Rafiul Alam Roni

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  14. Challenges and future scope in piezoelectric composite materials

    Elsevier eBooks · 2026

    Simran Gupta, Neelanjan Chowdhury, Sumanta Kumar Ghosh, Govinda Kapusetti

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  15. Combinatorial to autonomous experimentation

    Elsevier eBooks · 2026

    Krishna Rajan

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  16. Shifting the educational paradigm: Discovering concepts and connections

    Elsevier eBooks · 2026

    Krishna Rajan

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  17. Small-data discovery of thermally robust Prussian blue analogues via objective-focused prioritisation

    Journal of Materials Chemistry A · 2026

    Yuta Shudo, Ryo Taguchi, Mai Akashi, Sota Shimizu, Tohru Kawamoto, Akira Takahashi

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  18. Intelligent diagnosis of hot-rolled strip steel convexity faults based on hierarchical attention cycle graph networks and causal inference

    Applied Soft Computing · 2026

    Fei Shang, Huilin Chen, Bo Sun, Ruilin Miao, Xuegang Zhou, Chunwei Xing, Pengpeng Zhang

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

    National Science Review · 2026

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

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  20. Machine Learning Assisted Development of COFs Materials as Solid Electrolytes for Lithium-Ion Batteries—A Mini Review

    World Electric Vehicle Journal · 2026

    Wenhao Xu, Jianhui Sang, Qidong Gong, Wenbin Lin, Zhihong Lin, Faheem Mushtaq, Hamza Mushtaq, Zhenyu Hong, Hong yuan Zhao

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  21. Out-of-distribution machine learning for materials discovery: Challenges and opportunities

    Chemical Physics Reviews · 2026

    Miguel Tenorio, Md. Habibur Rahman, Arun Mannodi‐Kanakkithodi, James Chapman

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  22. Study on establishment of cardiovascular interventional disease database and prediction of postoperative mortality risk

    Scientific Reports · 2026

    Pengjia Qi, Canjie Hu, Yong Li, Yang M. Chen, Yanyun Dai, Huaqing Zhang, Jijun Tong, Xia

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  23. Deep active learning and knowledge transfer for rapid discovery of lithium metal battery electrolytes

    Nature Communications · 2026

    Xufeng Hong, Xizhe Wang, Stephen J. Harris, Hongbo Zhao, Jiashen Meng, Qingshan Jia, Qianchuan Zhao, Kang Xu, Quanquan Pang, Benben Jiang

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  24. Multi-fidelity learning in materials informatics: methodologies, applications, and outlook

    Journal of Materials Informatics · 2026

    Bo Wang, Yangyang Xu, Yumei Zhou, Dezhen Xue

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  25. Autonomous closed-loop framework for reproducible perovskite solar cells

    Nature · 2026

    Danpeng Gao, Shuaihua Lu, Chunlei Zhang, Ning Wang, Zexin Yu, Xianglang Sun, Rebecca Martin, Francesco Vanin, Liangchen Qian, Nicholas J. Long, Larry Lüer, Bo Li, Martin Stolterfoht, Junhui Hou, Jun Li Yin, Yen‐Hung Lin, Haipeng Lu, Nan Li, Nicola Gasparini, Christoph Josef Brabec, Samuel D. Stranks, Xiao Cheng Zeng, Zonglong Zhu

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  26. Machine Learning and Domain Adaptation for Material Generalization in Electrocatalyst Evaluation: A Comprehensive Review

    Archives of Computational Methods in Engineering · 2026

    Parmeshwar U. Laghane, Bhaskar R. Sathe, Pravin Laxmikant Yannawar

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  27. Artificial Intelligence-Driven Wearable Sensors for Cardiovascular Health Monitoring

    ACS Sensors · 2026

    H T Deng, Biao Ma, Gangsheng Chen, Junjie Chi, Jiayi Tong, Fuchao Yu, Bo Lü, Yuehua Chen, Chao Zhao, C Zhang, Hong Liu

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  28. Bioinspired triple-synergistic enhancement and machine learning optimization for ultra-strong polyvinyl alcohol hydrogels

    Nano Materials Science · 2026

    Ran Lu, Huiming Ning, Xiaopeng Wu, Shu Wang, Chenxing Xiang, Alamusi Lee, Ning Hu, Libin Zhao, Fuli Jiao, Xuewei Shi, Feng Liu, Rui Zou, Jie Wen

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  29. Cross-material catalyst discovery via deep learning

    Nature Materials · 2026

    Junseok Moon, Seungwoo Yoo, Jaehyuk Shim, Sungeun Heo, Jeong Hyun Kim, Megalamane Siddaramappa Bootharaju, Kug-Seung Lee, Jaeyune Ryu, Yung‐Eun Sung, Taeghwan Hyeon

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  30. Wired and Wireless Photosynthetic Biohybrids: Design, Materials, and Mechanisms

    Chemical Reviews · 2026

    Lihini Jayasinghe, Wonseok Lee, Andrew Liu, Elizabeth Lineberry, Jiaxi Wei, Peidong Yang

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  31. Intelligent Agent-Driven Design of Dynamically Reconstructed Metal-Organic Frameworks toward Industrial-Scale Anion-Exchange-Membrane Water Electrolysis

    ACS Catalysis · 2026

    Liangliang Xu, Jiankang Wang, Canhui Zhang, J Y Huang, Jian Zhou, Zhichu Ren, Jiaxin Yao, Jinyang Li, Heqing Jiang, Minghua Huang, Zhengxiao Guo, Zhongfang Chen

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  32. General applicability for developing interfacial regulation materials: An artificial-intelligence-driven approach based on non-covalent interactions

    Chemical Engineering Journal · 2026

    Changqing He, X Y Yang, Huimin Zhou, Xincheng Zhang, X LIU, Lin He, Hong Sui, Zhenghe Xu, You Han

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  33. Nanoengineering of MXenes and their composites as electromagnetic interference shields

    Nanocomposites · 2026

    Mubeena Shaik, Madhuri Wuppulluri

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  34. Data driven approach for topological data of polyelectrolytes assembly

    Journal of Materials Science Composites · 2026

    Aleksei V. Meshkov, Olesya V. Khoroshilova, Vladimir V. Potapov, Timur A. Aliev, Anna A. Nikitina, Dmitrii A. Kozodaev, Екатерина Владимировна Скорб

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  35. Crystallochemical control of (001)-oriented α-FAPbI3 via 2D perovskite template toward stable optoelectronic synaptic memristors

    Materials Today Chemistry · 2026

    Yuchun Li, Pengyu Hao, Zeyun Wang, Lingzhi Tang, Jingjuan Wang, Yingke Ren, Ziwei Yue

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  36. Matching method to problem: Data-driven and knowledge-integrated machine learning for electrochemical energy devices

    Electrochimica Acta · 2026

    Yuze Hou, Nada Zamel

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