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

  1. Metal-organic frameworks: Role of artificial intelligence and machine learning algorithms for efficient discovery, design, synthesis and prediction of CO2 capture capacity - A state of art review

    Separation and Purification Technology · 2026

    Aayzaz Ahmed, Mirza Aamish Hassan Khan, George Uwadiegwu Alaneme, Tariq Ali, Muhammad Zeeshan Qureshi, Ayed Eid Alluqmani, Ali Ajwad

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  2. Real-time adaptive scanning for atomic force microscopy using trigger-enhanced trajectory control

    Measurement · 2026

    Wanshuo Zhang, Lifeng Hao, Xiaodong He

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  3. Ground Enhancement Materials for Grounding Systems: A Systematic Review of Factors, Technologies and Advances

    Technologies · 2026

    Martínez Ángeles Hugo, Cesar Augusto Navarro Rubio, Luis Angel Iturralde Carrera, Leonel Díaz-Tato, José Gabriel Ríos-Moreno, Mario Trejo Perea, Roberto Valentin Carrillo-Serrano, Juvenal Rodríguez‐Reséndiz

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  4. Materials Informatics: Emergence to Autonomous Discovery in the Age of AI

    Advanced Materials · 2026

    Turab Lookman, YuJie Liu, Zhibin Gao

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  5. AI-driven design and applications of quantum dots

    Nano Today · 2026

    Prince Kumar Soni, Manmohan Lal Satnami, Rekha Nagwanshi, Yogyata Chawre, Ankita Beena Kujur, Akash Sinha, Pinki Miri, Indrapal Karbhal, Kallol Kumar Ghosh

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  6. Application of multi-agent in energy materials research

    Chinese Science Bulletin (Chinese Version) · 2026

    Ji Wang, Haozhe Zhu, Peiyi Li, Chang Liu, Yang Liu, Jiayu Wan

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  7. Agentic Knowledge Graphs of the LiFePO 4 Cathode for Lithium Ion Battery: Balancing Discovery and Stability with LLMs

    Journal of Chemical Information and Modeling · 2026

    Lee Bin Choi, Ohyeon Lee, Sanghun Lee

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  8. Machine learning empowered surface growth of 2D materials: Synthesis, characterization and mechanism

    Surface Science Reports · 2026

    Wenjin Gao, Chenqiang Hua, Tianchao Niu, Miao Zhou

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  9. Generative Design for Alloys: Harnessing Generative Models for Faster Discovery

    Advanced Materials · 2026

    Li Cheng, Yuehui Xian, Yumei Zhou, Xiangdong Ding, Jun Sun, Dezhen Xue

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  10. 4A tetrahedron system: a synergistic framework for panvascular intervention empowered by flexible electronics

    npj Flexible Electronics · 2026

    Lingsen You, 瞿亦容, Yuheng Chen, Yu Wang, Le Shen, Junbo Ge

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  11. 3D Printing Hydrogel for Flexible Mechanical Sensors

    Journal of Intelligent Material · 2026

    Dan Li, Lu Jiang, Zhiwei Sheng, Yilin Wei, Zhou Li, Qiang Zheng

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  12. Artificial Intelligence in Accelerating Materials Discovery: Opportunities and Challenges

    ChemistrySelect · 2026

    Avadhesh Kumar Yadav

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  13. Multiscale modeling and simulation of composite materials: Methods, AI integration, and challenges

    Materials Today Communications · 2026

    Rasel Ahemd, Kamrul Hasan Manik, Md Ahsan Habib, Md. Aditto Rahman Nirob, Antu Nath, Md. Shaharia Hossen, Juhi Jannat Mim, Nayem Hossain

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  14. Prediction of malignancy and metastasis of thyroid cancer by combined feature sets through advanced machine learning

    BMC Medical Informatics and Decision Making · 2026

    Rongli Xie, Guohui Xiao, Min Ding, Dan Xu, Dan Tan, Yuanzhang Zhao, Sisi Zheng, Zhenyu Zou, Di Du, Dongjie Shen, Jianhua Gu, Jian Fei

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  15. Computation-assisted probing of the solid-solid interface in all-solid-state sodium-ion batteries

    Journal of Energy Storage · 2026

    Kaishuai Yang, Jinhua Zhou, Yuanyuan Liu, Xixi Tao, Wei Xu, Zhang Zhang

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  16. Learning atomic representations for data-driven materials design

    AI for Science · 2026

    Zhenyao Fang, Ting-Wei Hsu, Qimin Yan

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  17. Research Progress in Artificial Intelligence-Assisted Preparation of High-Quality Biomaterials

    ACS Omega · 2026

    De Wei, Ze Wang, Hao Lin, Xiao Ping Yin, Yi Wang

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  18. Pondering the Future of Chemical Research Amid the Wider Adoption of Artificial Intelligence Technologies

    Chemistry - A European Journal · 2026

    Daniil A. Boiko, Mikhail V. Polynski

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  19. Artificial intelligence-driven nano-enhanced stem cell therapy for neurodegenerative diseases: from rational design to clinical translation

    Journal of Nanobiotechnology · 2026

    Nan Chen, Shichan Wang, Jiyong Liu, Xiaoting Zheng, Huifang Shang

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  20. Organic mixed ionic-electronic conductor device platforms for emerging biosensor application

    npj Biosensing · 2026

    Siyu Qin, Zeyuan Sun, Simiao Sun, Jeremy Wang, Charleen M. Rahman, Thomas E. Gartner, Xuanhong Cheng, Elsa Reichmanis

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  21. AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

    Advanced Intelligent Discovery · 2026

    Shoubhanik Nath, Shauryaraj Jilkar, Aditya Udgaonkar, Yu Lu, Ali Mesbah

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  22. AI-driven multi-property prediction and manufacturability-aware design for electronic materials and devices

    Materials Today Electronics · 2026

    Shujian Zhang, Sihan Wu, Hang Su, Yanqiang Han, Jinjin Li

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  23. Local Density Field as a Physical Order Parameter for Conductivity Prediction in Block Copolymer/Carbon Nanotube Nanocomposites via a Voxel-Based Graph Attention Network

    Macromolecules · 2026

    Mingshuo Guo, Yueting Tian, Tang Sui, Ying Zhao, Shuang Xu, Shaolong Liu, Giuseppe Milano, Caiwei Qiu, Jiashun Mao

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  24. Investigation of real-time stress-induced self-organization of nanofillers in stretchable nanocomposites: state of the art and future perspectives

    Journal of Materials Science Composites · 2026

    Smriti Dwivedi, Sudeepa Devi, Umar Siddiqui, Md. Imamuddin, P. K. S. Yadav, Debmalya Roy

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  25. Solid Electrolyte Interphase Membrane in Zinc-Ion Capacitors and Batteries: Formation Mechanism, Optimization Strategies, and Future Research Directions

    Arabian Journal for Science and Engineering · 2026

    Xuexue Pan, Jiayao Peng, Zhirui Li

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  26. Facile Critical Evaluation of Extensive Lithium–Oxygen Battery Literature Using In-House Data and the Structured Query Learning–Retrieval-Augmented Generation Method

    ACS Applied Materials & Interfaces · 2026

    Dawn Sivan, Yen-Jen Chen, Chun‐Chen Yang, Venkataraman Thangadurai, Rajan Jose

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  27. Integrated strategies in meniscus tissue engineering: from biomaterials to stem cell–driven regeneration

    Frontiers in Bioengineering and Biotechnology · 2026

    Puzhen Song, Hongguang Chen, Hebin Ma, Yuanbo Zhou, Yadong Zhang

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  28. Interface and band structure modulation strategies in photoelectrodes for efficient solar water splitting-focus on synthesis, interface engineering, and bandwidth tuning

    Nano Energy · 2026

    Sutripto Majumder, Anna Kusior, Ki Hyeon Kim

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  29. Artificial intelligence and machine learning in optoelectronics and energy storage: From materials design to device applications

    Sustainable materials and technologies · 2026

    Yunsheng Zhang, Muhammad Sadiq, Muhammad Moazam Fraz, Eman Ali aldhahri, Abdulwahab Ali Almazroi, Mariam Iqbal, Asif Hayat, Yu Geng, Ahmed Saad Radi Algamdi, Amber Noreen, Aiman Fatima, Junwei Liang, Hamid Ali

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  30. Advanced Nanoporous and Mesoporous Materials: Emerging Innovations, Multiscale Design, and Future Perspectives

    Materials · 2026

    Monika Fedyna, Jakub Mokrzycki

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  31. 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

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

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  32. Artificial Intelligence and Machine Learning Approaches for Composite Materials: Recent Developments and Applications

    Polymer Composites · 2026

    Vishnu Vijay Kumar, T. M. B. SANTOS, Caroliny Minely da Silva Santos, Bahati Shabani Nzeyimana, Khaled Shahin, H. Jeevan Rao, José Heriberto Oliveira do Nascimento

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  33. Prediction of Stress-strain Behavior for Polyurethane Elastomers Based on Machine Learning

    Chinese Journal of Polymer Science · 2026

    Li Ling Zhou, Mei-Fang Wang, Chaokun Huang, Meng Song, Xiujuan Wang

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  34. Agentic AI for autonomous discovery of radiation-tolerant CoCrFeMnNi high entropy alloys

    Scripta Materialia · 2026

    Ankit Roy, Ram Devanathan, Ayoub Soulami, Maria L. Sushko

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  35. Knowledge-guided strain-damage image correlation for diagnosing nonlinear mechanical behavior of freely stretched ultra-thin polymer films on water surface

    Polymer Testing · 2026

    Myoung Song, Seung Jin Oh, Sungho Suh, Tae Yeob Kang, Taek‐Soo Kim

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  36. A physics-informed machine learning framework for predicting and mitigating doxorubicin nanocarrier toxicity in normal cells

    Scientific Reports · 2026

    Abbas Rahdar, Sonia Fathi-Karkan

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  37. High-entropy materials for advanced energy storage: Microstructural design, phase engineering, and electrochemical performance and cost benefit perspectives for batteries

    Journal of Alloys and Compounds · 2026

    Hao Cao, Ali Abbas Khan, Dawood Majeed

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  38. Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry

    Advanced Intelligent Discovery · 2026

    David J. Sousa, Erving Clayton Ximendes, Luís D. Carlos, Carlos D. S. Brites

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  39. Design and Research of an Intelligent Digestion System Based on Machine Vision and Full-Process Control

    ACS Omega · 2026

    Zhihui Jiang, Tiewei Shang, Linge Ma, Shuai Zhao, Rui Wang, Zheng Wang, Liwei Yao, Shangjie Yao

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  40. Emerging organic cathodes and design strategies for aqueous zinc–organic batteries

    eScience · 2026

    Runjie Yin, Tao Xue, Jinpeng Guan, Yongbiao Mu, Manrong Song, Xiyan Wei, C. Y. Li, Jun Huang, Mahmood ul Haq, Zetao Chen, Chao Yang, Limin Zang, Lin Zeng

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  41. AI-based development and optimization of sealing materials for secondary grouting in methane recovery

    Scientific Reports · 2026

    Nastaran Zandy Ilghani, Hamid Maleki

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  42. Toward autonomous discovery in small-molecule organic photovoltaics: A review integrating artificial intelligence and machine learning within the molecular design landscape

    Organic Electronics · 2026

    Sania Ismaeel, Sidra Manzoor, Muhammad Zohaib Sabir

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  43. Parameter-free Kα2 elimination for X-ray diffraction via dual-wavelength q-space differencing

    Measurement · 2026

    Zekun Zhang, Binfeng Lv, Guanyu Zhao, Xiaowei Sun, Shihui Chang, Jincang Zhang, Juan Rodríguez-Carvajal, Xin Chen, Zhenjie Feng

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  44. Synergetic properties of advanced materials for high-power and high-temperature applications

    Discover Nano · 2026

    Wubshet Getachew Mengesha, Kaveer Nagessar

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  45. Machine Learning Paradigm for Advanced Battery Electrolyte Development

    Carbon Energy · 2026

    Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu

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  46. A closed-loop machine-learning framework for rational design of manganese-based nano-adsorbents

    Separation and Purification Technology · 2026

    Mochou Gao, Xiyue Wang, Xiaoya Bi, Haotian Li, Yanbin Yin, Xinrong Li, Yanbao Zhao, Yage Liu, Wensheng Yang, Xueyan Zou

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  47. AI-driven computational approaches for enhancing energy devices and systems: From materials to grid optimization

    Energy Reports · 2026

    Zhibo Xu, Kun Zhao, Yuechao Wang, Hongliang Luo, Jizhong Zhao

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  48. Permutation-invariant deep learning for predicting superconducting critical temperatures from chemical composition

    Physica B Condensed Matter · 2026

    Tejasvini Ramaswamy, Marimuthu Krishnan

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  49. Machine learning for thermoelectric systems: Materials, design, and performance optimization: A review of approaches and recent trends

    Energy 360. · 2026

    Elyas Soleymani, Behnam Amini, Reza Roshanfekr, Soheil Tackesh, Ahmad Hajipour

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

    Biomimetics · 2026

    Zhong Hu, Haiping Hong, Tim Lin

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