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RESEARCH PAPER · Materials Horizons · 2024

Physics-informed machine learning enabled virtual experimentation for 3D printed thermoplastic

Zhenru Chen, Yuchao Wu, Yunchao Xie, Kianoosh Sattari, Jian Lin

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10 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
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42 direct citing works

Physics-informed machine learning enabled virtual experimentation for 3D printed thermoplasticOriginalAccelerated design of solid bio-based foams for plastics substitutes10Predictive Approaches for 3D ‐Printing: Methods and Approaches for Polymeric Materials5A Review of Artificial Intelligence in 3D Printing. Part A: From Scaffold Design to Pre-Print Optimization1Emerging frontiers in SERS-integrated optical waveguides: advancing portable and ultra-sensitive detection for trace liquid analysis17Measurement Fidelity in AI-Assisted Experimental Measurement Systems0Multiscale modeling of graphene and carbon nanostructures: advances in atomistic, coarse-grained, and machine learning approaches4Physics-Integrated Machine Learning for Materials Science — Conceptual Taxonomies and Open Questions0Data–driven prediction and uncertainty quantification of process–structure–property relationships for additively manufactured continuous carbon fiber reinforced polymer composites1Predicting multi-component oil viscosity using machine learning methods0Mechanistic modeling of flow-transport-reaction coupling in lateral flow assays: From capillary wicking to physics-AI hybrid design0

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  1. Accelerated design of solid bio-based foams for plastics substitutes

    Materials Horizons · 2024-12-06

    Isaac Yair Miranda-Valdez, Tero Mäkinen, Sebastian Coffeng, Axel Päivänsalo, Luisa Jannuzzi, Leevi Viitanen, Juha Koivisto, Mikko J. Alava

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  2. Predictive Approaches for 3D ‐Printing: Methods and Approaches for Polymeric Materials

    Wiley Interdisciplinary Reviews Computational Molecular Science · 2025-09-01

    Isabel Cooley, W.J. Wang, Vladimir A. Kozyrev, Ricky D. Wildman, Blair F. Johnston, Anna K. Croft

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  3. A Review of Artificial Intelligence in 3D Printing. Part A: From Scaffold Design to Pre-Print Optimization

    Journal of Craniofacial Surgery · 2025-11-19

    Hana Shah, Sara E. Munkwitz, Nicholas Jose Iglesias, Vasudev Vivekanand Nayak, Seth Ray Thaller, Paulo Guilherme Coelho

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  4. Emerging frontiers in SERS-integrated optical waveguides: advancing portable and ultra-sensitive detection for trace liquid analysis

    Light Science & Applications · 2025-11-26

    Danheng Gao, Jiahao Liu, Xiao Liu, Kang He, Zhanyu Ma, Huan Liu, Jihou Wang, Qihan Zhang, Zhaonan Huang, Meng Luo, Haoran Meng, Du Rui, Juntao Tony Gao, Qing Yun Wu, Xinghua Yang

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  5. Measurement Fidelity in AI-Assisted Experimental Measurement Systems

    EPJ Web of Conferences · 2026-01-01

    Dea Nur Hafifah, Arita Marini, Yinghuei Chen, Bramianto Setiawan

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  6. Multiscale modeling of graphene and carbon nanostructures: advances in atomistic, coarse-grained, and machine learning approaches

    RSC Advances · 2026-01-01

    Iman Najafipour, Santanu Chaudhuri

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  7. Physics-Integrated Machine Learning for Materials Science — Conceptual Taxonomies and Open Questions

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

    Daniel Brooks, Amelia Carter, Ethan Moore

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  8. Data–driven prediction and uncertainty quantification of process–structure–property relationships for additively manufactured continuous carbon fiber reinforced polymer composites

    Journal of Intelligent Manufacturing · 2026-03-26

    Tongwha Kim, Kamran Behdinan

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  9. Predicting multi-component oil viscosity using machine learning methods

    Chemical Engineering Science · 2026-07-13

    Vladimir I. Deshchenya, Nikolay Kondratyuk, Anna P. Sivakova, Oleg Sushkov, Dmitry Kozhevnikov, Vladimir Petrov, Тимур Алиев, Anton A. Muravev, Michael G. Medvedev, Екатерина Владимировна Скорб

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  10. Mechanistic modeling of flow-transport-reaction coupling in lateral flow assays: From capillary wicking to physics-AI hybrid design

    TrAC Trends in Analytical Chemistry · 2026-09-23

    Weiying Wang, Chaoyu Cao, Yifan Li, Yu Zhang, Haitao Huang, Shangsheng Feng, Ting Wen, Minli You

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