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Papers citing MLMD: a programming-free AI platform to predict and design materials

  1. Machine learning applications in the design, optimization, and manufacturing of perovskite solar cells

    Solar Energy · 2026-04-09

    Peter I. Udenze, Hao Dong, Dawen Li

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  2. Enhancing multi-component alloy composition prediction based on generative adversarial networks and proximal policy optimization

    Scientific Reports · 2026-04-20

    Shun-li Zhang, Shaobin Bai, Wen-jing Shang, Qing Liu, Peng Yu

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  3. 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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  4. Hierarchical microstructure-informed constitutive modeling of composite electrodes via transfer learning under multiaxial non-monotonic histories

    European Journal of Mechanics - A/Solids · 2026-06-10

    Qingrong Zou, Jiaqing Du, Chuangchuang Duan, Jici Wen

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  5. Artificial Intelligence for Sustainable Ceramic and Refractory Materials: A PRISMA-Guided Systematic Review of Emerging Design Strategies, Industrial Applications, and Circular Raw Material Utilization

    Inorganics · 2026-06-30

    Leonel Díaz-Tato, Luis Angel Iturralde Carrera, Martínez Ángeles Hugo, Cesar Augusto Navarro Rubio, Margarita Guadalupe García-Barajas, Francisco Antonio Castillo Velásquez, Jonny Paul Zavala de Paz, Juvenal Rodríguez‐Reséndiz, Edén Amaral Rodríguez-Castellanos

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  6. A Comparative Study of Structural Representations for 2D Materials: Insights from Dynamic Collision Fingerprint and Matminer Library

    ACS Omega · 2026-07-02

    Raphael M. Tromer, Isaac M. Félix, Rafael Besse, Marcelo Lopes Pereira, M. G. E. da Luz

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  7. Towards sustainable pharmaceutical manufacturing: The rise of supercritical fluid technology

    Journal of Controlled Release · 2026-07-08

    Shangqing Chen, Yisheng Peng, H Q Liu, Chengchao Chu, Biao‐Qi Chen, Hongwei Cheng, Gang Liu

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  8. Improving predictive modeling in materials science based on data augmentation approach

    Journal of Materials Science Materials in Engineering · 2026-07-10

    Mohamed Hamidi, Mohamed Loutou

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  9. Fatigue Data Infrastructure for Reliability Analytics: A Relational Database Framework for Traceable Fatigue Knowledge Integration

    Journal of Materials Engineering and Performance · 2026-07-20

    M. Sreearravind, Ramesh Kumar Subramanian

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  10. Autonomous laboratories for sustainable nanomaterials discovery

    Next Materials · 2026-07-23

    Aarti Jathar, Beena R. Nawghare, Ketankumar A. Ganure

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  11. Microstructure analysis of corundum spinel material based on AI models

    Nondestructive Testing And Evaluation · 2026-08-27

    Yi Yin, Jian Li, Shengli Jin, Ning Liao, Yawei Li, Xin Xu

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  12. Advanced engineering of inorganic semiconductor nanowires: Materials-by-design for next-generation green energy technologies

    Energy Reviews · 2026-10-01

    Sunday Temitope Oyinbo, Hoe-Gil Lee, Sikiru Oluwarotimi Ismail, Tien‐Chien Jen

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