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RESEARCH PAPER · Composite Structures · 2025

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

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Artificial intelligence in materials science and engineering: Current landscape, key challenges, and future trajectoriesOriginalCompositional Generalization as a Distinct Failure Mode in Materials AI0Multi-Model and Hybrid AI Systems in Materials Research — Architectures and Trade-Offs0Scientific Decision-Making with Materials AI — How Models Actually Influence Action: A Review Study1Организационно-технологические решения при управлении жизненным циклом объектов строительства в проектах комплексного развития территорий3A review on the potential applications of gum Arabic in dye-sensitized solar cell design: Perspectives, and application as a natural dye and nanocomposite in photovoltaic technology2Ceramic-based electromagnetic interference shielding materials: Mechanisms, optimization strategies, and pathways to next-generation applications26Topology-free heat source detection via PINN-level set synergy1Formation Energy Prediction of Doped Perovskite Structures Based on Transfer Learning with Small Datasets2Tecnología de materiales0Reusable surrogate models for distillation columns5A Transferable, Explainable AI Framework for Composition–Structure–Property Mapping from Steel Micrographs0Uncertainty-Aware Multi-Target Learning for Electrical and Dielectric Property Prediction of MgCuZn Ferrites0Integrating artificial intelligence with electrochemical science for advanced energy storage9Machine learning-enhanced modelling and experimental analysis of foam-core thermoplastic composites produced via pultrusion2POLYT5: an encoder-decoder foundation chemical language model for generative polymer design4Photo-pyroelectric effect in piezoelectric polymer composites: An innovative pathway for advanced technologies2Formulation optimization and performance prediction of friction materials via BR-BP-bagging machine learning model and NSGA-Ⅱ Genetic algorithm2Beyond a Conventional Chatbot: How AI Streamers Transcend Live Streaming Experiences from Viewers’ Perspectives3Posture-induced anisotropic mechanical behavior of additively manufactured TPMS metamaterials6A MCDM-Based Framework for Quantifying Reproducibility Readiness in Machine Learning Research0Accelerating Computational Material Discovery and Learning: First Experiences with MatterSim0A GNN-LSTM-based surrogate modeling framework for in-pile performance prediction of FCM fuel0AI for bioactive materials: From material design to biological applications4Artificial intelligence in masonry engineering: Comprehensive review of design, analysis, and maintenance applications0Comprehensive unraveling of CT-derived defect characteristics in fused deposition modeling via machine learning: clustering, classification, regression and process correlation8High-temperature creep prediction of SiC/SiC ceramic matrix composites using a multi-task multi-fidelity physics-informed neural network1Organic Materials of Tomorrow: Horizons of Artificial Intelligence0Elektrikli Araç Sektöründe Dijital Ürün Pasaportlarına Geçişin Döngüsel Tedarik Zinciri Süreçlerine Potansiyel Katkılarının Değerlendirilmesi0Materials informatics across the length scales0Artificial intelligence and machine learning in composite materials: A comprehensive literature review and bibliometric analysis3A Brief Review of Density Functional Theory and Machine Learning Insights into Pristine, Binary, and Ternary CdS-Based Photocatalysts for Efficient Water Splitting0Metallic Materials: Structure Transition, Processing, Characterization and Applications (Second Edition)0Artificial intelligence driven lithium-ion battery recycling: from materials recovery to intelligent circular energy systems0

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33 direct citing papers saved.

  1. Compositional Generalization as a Distinct Failure Mode in Materials AI

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

    Daniel Fischer, Laura Meier, Thomas Braun

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  2. 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

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  3. 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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  4. Организационно-технологические решения при управлении жизненным циклом объектов строительства в проектах комплексного развития территорий

    Stroitel stvo nauka i obrazovanie [Construction Science and Education] · 2025-09-30

    Л. А. Адамцевич, А. А. Лапидус

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  5. A review on the potential applications of gum Arabic in dye-sensitized solar cell design: Perspectives, and application as a natural dye and nanocomposite in photovoltaic technology

    Progress in Engineering Science · 2025-10-01

    Sylvia N. Lemomo, Thomas K. Kinyajui, Joshua Kiprotich Kibet

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  6. Ceramic-based electromagnetic interference shielding materials: Mechanisms, optimization strategies, and pathways to next-generation applications

    Journal of Advanced Ceramics · 2025-10-27

    Yang Li, Mengying Zhang, Jianing Chen, Xianhu Liu, Ming S. Huang, Chuntai Liu, Gang Shao, Hailong Wang, Bingbing Fan, Yuchang Qing

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  7. Topology-free heat source detection via PINN-level set synergy

    International Communications in Heat and Mass Transfer · 2025-11-05

    Yue Xiao, Shaowei Wang, Moli Zhao

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  8. Formation Energy Prediction of Doped Perovskite Structures Based on Transfer Learning with Small Datasets

    Crystals · 2025-11-24

    Yu Yang, Mingxuan Deng, Tianhao Rui, Zhuangzhuang Ma, Linyuan Lu, Yunhao Wang, Tao Lan, Yulin Lan, Hengcheng Wan, Yiyan Li, Zhipeng Li, Haibin Zhang

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  9. Tecnología de materiales

    Unknown journal · 2025-11-30

    Alonso Elías Pirela Áñez, Gerardo Antonio Herrera Brunett, Alejandro Crisostomo Véliz Aguayo, Luis Tomalá Villón, Wilson Javier Toro Álava

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  10. Reusable surrogate models for distillation columns

    Computers & Chemical Engineering · 2025-12-12

    Martin Bubel, Tobias Seidel, Michael Bortz

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  11. A Transferable, Explainable AI Framework for Composition–Structure–Property Mapping from Steel Micrographs

    SSRN Electronic Journal · 2026-01-01

    Gerfried Millner, Tzu-Wei Wang, Shangkun Shen, Yingxi Li, Yi‐Sheng Chen

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  12. Uncertainty-Aware Multi-Target Learning for Electrical and Dielectric Property Prediction of MgCuZn Ferrites

    Procedia Computer Science · 2026-01-01

    Sushil Krishnan, J Anuradha, Madhuri W

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  13. Integrating artificial intelligence with electrochemical science for advanced energy storage

    Journal of Energy Storage · 2026-01-12

    А.А. Китык, Viliam Pavlik, Miroslav Hnatko

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  14. Machine learning-enhanced modelling and experimental analysis of foam-core thermoplastic composites produced via pultrusion

    Composites Part B Engineering · 2026-01-31

    Razie Izadi, David Wagner, David Löpitz, Camilo Zopp, Matthias Klaerner, Alina Michel, Yeliz Albrechtsen, Onur Çoban, Welf‐Guntram Drossel, Carsten Lies, Mustafa Basaran, Salim Belouettar, Ahmed Makradi

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  15. POLYT5: an encoder-decoder foundation chemical language model for generative polymer design

    npj Artificial Intelligence · 2026-03-03

    Harikrishna Sahu, Wei Xiong, Anagha Savit, Shivank S. Shukla, Rampi Ramprasad

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  16. Photo-pyroelectric effect in piezoelectric polymer composites: An innovative pathway for advanced technologies

    Materials Today Nano · 2026-03-13

    I.R. Silva, N. Pereira, Carmen Rial Tubio, DM Correia, C.M. Costa, Senentxu Lanceros-Méndez

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  17. Formulation optimization and performance prediction of friction materials via BR-BP-bagging machine learning model and NSGA-Ⅱ Genetic algorithm

    Composites Part A Applied Science and Manufacturing · 2026-03-22

    Qin Chen, Chenlin Zhang, Chenlin Zhang, Kai Chen, Xinyue Zhang, Dekun Zhang, Cunao Feng, Dekun Zhang

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  18. Beyond a Conventional Chatbot: How AI Streamers Transcend Live Streaming Experiences from Viewers’ Perspectives

    CHI Conference on Human Factors in Computing Systems · 2026-04-13

    Yang Hu, Guo Freeman

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  19. Posture-induced anisotropic mechanical behavior of additively manufactured TPMS metamaterials

    Composite Structures · 2026-04-25

    Ruochao Zhao, Junjie Deng, Xinxin Wang, Lejiang Wang, Kai Wei, Zhonggang Wang

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  20. A MCDM-Based Framework for Quantifying Reproducibility Readiness in Machine Learning Research

    Mathematics · 2026-05-01

    Paulina Leščinskaitė, Remigijus Paulavičius, Ernestas Filatovas

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  21. Accelerating Computational Material Discovery and Learning: First Experiences with MatterSim

    Research Square · 2026-05-04

    Gia Khanh Pham, Ulrick Edwin Nguegang Tsopmo, Marta Segura Cubells

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  22. A GNN-LSTM-based surrogate modeling framework for in-pile performance prediction of FCM fuel

    Journal of Nuclear Materials · 2026-05-09

    Chaoyue Jin, Jing Zhang, Haiyu Zhao, Zekun Li, Yunxuan Cai, Xingdi Chen, Luning Chen, Chunyang Yue, Shurong Ding

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  23. AI for bioactive materials: From material design to biological applications

    Bioactive Materials · 2026-05-14

    Jiezhong Shi, Ting Liang, Marcin K. Heljak, Zhen Qiu, Song Chen, Jiaying Li, Asimina Kazakidi, Wojciech Święszkowski, Bin Li, Wenmiao Shu

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  24. Artificial intelligence in masonry engineering: Comprehensive review of design, analysis, and maintenance applications

    Automation in Construction · 2026-05-17

    Jordan McAlister, Tatheer Zahra

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  25. Comprehensive unraveling of CT-derived defect characteristics in fused deposition modeling via machine learning: clustering, classification, regression and process correlation

    Composites Part A Applied Science and Manufacturing · 2026-05-20

    Shuailong Gao, Yixing Huang, Rujie He, Xiao Kang, Li, Ying Chun, 1972-

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  26. High-temperature creep prediction of SiC/SiC ceramic matrix composites using a multi-task multi-fidelity physics-informed neural network

    Composites Part B Engineering · 2026-06-08

    Weixing Yu, Yunfei Lyu, Jikai Yao, Wei Wei, Zhaohui Gong, Shunrong Chen, Huilong Pi, Changchun Shan

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  27. Organic Materials of Tomorrow: Horizons of Artificial Intelligence

    Advanced Materials · 2026-06-08

    Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko

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  28. Elektrikli Araç Sektöründe Dijital Ürün Pasaportlarına Geçişin Döngüsel Tedarik Zinciri Süreçlerine Potansiyel Katkılarının Değerlendirilmesi

    3 SEKTÖR SOSYAL EKONOMİ DERGİSİ · 2026-06-22

    İpek GÜRSOY

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  29. Materials informatics across the length scales

    Machine Learning Engineering · 2026-07-02

    Jamal Abdul Nasir, Hamide Kavak, Oğuzhan Der, Ali Erçetin, Amila Akagić, Jesper Friis, Francesca Lønstad Bleken, Andrea Lorenzoni, Francesco Mercuri, Scott M. Woodley, Keith T. Butler

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  30. Artificial intelligence and machine learning in composite materials: A comprehensive literature review and bibliometric analysis

    Composites Part A Applied Science and Manufacturing · 2026-07-11

    Huilong Fu, Amirali Eskandariyun, Paulina Portales Picazo, Kendall A. Johnson, Aric Morton, Mathew Wynn, Navid Zobeiry

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  31. A Brief Review of Density Functional Theory and Machine Learning Insights into Pristine, Binary, and Ternary CdS-Based Photocatalysts for Efficient Water Splitting

    Catalysts · 2026-07-29

    Damen Nurgalieva, Mirat Karibayev, Saparbek Tugelbay, Yerbolat Kalpakov, Nursultan Mussakhanuly, Anuar Aldongarov, Shih‐Wen Chen, Жамбул Керимкулов, Galiya Baisalova, Sergei Piskunov

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  32. Metallic Materials: Structure Transition, Processing, Characterization and Applications (Second Edition)

    Materials · 2026-08-11

    Jing Wei Hu

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  33. Artificial intelligence driven lithium-ion battery recycling: from materials recovery to intelligent circular energy systems

    Journal of Materials Science Materials Theory · 2026-10-02

    Junaid Aslam, Muhammad Arif Khan, Ali Usman, Muhammad Javed, Muhammad Usman

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