Architected Meta-Materials: Additive Fabrication, Multiphysics Behavior, and Design Inversion

Authors

    Rachmat Prabowo Department of Geotechnical Engineering, Bandung Institute of Technology, Bandung, Indonesia
    Hiroshi Tanaka * Department of Robotics Engineering, University of Tokyo, Tokyo, Japan h.tanaka@u-tokyo.ac.jp
    Jae-Hoon Park Department of Nano Engineering, KAIST, Daejeon, South Korea

Keywords:

Architected meta-materials, additive manufacturing, multiphysics behavior, inverse design, topology optimization, multifunctional materials

Abstract

This review aims to synthesize current advances in architected meta-materials, focusing on additive fabrication, multiphysics behavior, and inverse design methodologies, to identify trends, challenges, and opportunities for multifunctional material systems. A qualitative literature review was conducted, targeting sixteen peer-reviewed articles published between 2015 and 2025. The selection criteria included studies on architected or lattice meta-materials fabricated via additive manufacturing, characterized through multiphysics analyses, and/or designed using inverse design or computational optimization methods. Data were collected through database searches (Scopus, Web of Science, ScienceDirect, and IEEE Xplore) using relevant keywords such as “architected materials,” “meta-materials,” “additive manufacturing,” “topology optimization,” and “inverse design.” Theoretical saturation determined the final sample of studies. Qualitative content analysis was performed using NVivo 14, employing open, axial, and selective coding to extract concepts, identify subthemes, and categorize the literature into four main thematic areas. Analysis revealed four interrelated themes: (1) additive fabrication strategies, emphasizing precision 3D printing methods, material feedstock engineering, and post-processing; (2) multiphysics behavior, highlighting thermo-mechanical, electromechanical, acoustic, and fluid–structure coupling; (3) inverse design and computational optimization, demonstrating topology optimization, machine learning-based design inversion, and digital-twin integration; and (4) functional applications, covering energy absorption, aerospace structures, biomedical implants, smart reconfigurable systems, and extreme-environment adaptation. The review shows that successful integration across fabrication, behavior, and design inversion enables multifunctional performance, while challenges remain in scalability, manufacturability, and multiphysics modeling fidelity. Architected meta-materials represent a paradigm shift in material design, where structural topology enables multifunctional performance across mechanical, thermal, acoustic, and electrical domains. Advances in additive manufacturing and computational design are central to realizing these capabilities, but future work must address scalability, robustness, sustainability, and standardized evaluation frameworks to accelerate practical implementation.

Downloads

Download data is not yet available.

References

Bückmann, T., Schittny, R., Thiel, M., Kadic, M., Milton, G. W., & Wegener, M. (2015). On three-dimensional phononic elastic meta-materials. New Journal of Physics, 17(3), 033014.

Chen, H., & Gu, G. X. (2021). Machine learning for inverse design in materials science. Science Advances, 7(21), eabg5771.

Chen, Y., Li, P., & Wang, Y. (2022). Temperature-dependent mechanical response of architected lattices. Acta Materialia, 232, 117918.

Cummer, S. A., Christensen, J., & Alù, A. (2016). Controlling sound with acoustic meta-materials. Nature Reviews Materials, 1(3), 16001.

Gao, L., Zhang, Y., & Sigmund, O. (2019). Topology optimization for architected materials. Advanced Engineering Materials, 21(3), 1800508.

Gao, R., Xu, B., & Chen, W. (2021). Piezoelectric energy harvesting using 3D printed meta-structures. Additive Manufacturing, 47, 102317.

Gibson, L. J., Ashby, M. F., & Harvey, L. (2019). Cellular Solids: Structure and Properties (3rd ed.). Cambridge University Press.

Gu, G. X., Chen, C. T., & Bessa, M. A. (2021). Bio-inspired materials and architected meta-materials fabricated by additive manufacturing. Nature Reviews Materials, 6(12), 1008–1024.

Lee, S., Park, J., & Kim, H. (2023). Thermal transport in architected lattices with hierarchical pores. International Journal of Heat and Mass Transfer, 210, 123115.

Li, Y., Wu, H., & Zhou, J. (2020). Energy absorption characteristics of graded lattice structures. Materials & Design, 188, 108436.

Liu, J., Chen, X., & Hu, Y. (2021). Multiscale modeling of additive-manufactured lattices. Computational Mechanics, 68(2), 395–410.

Liu, Z., Huang, J., & Wang, J. (2022). Architected materials for extreme environments. Nature Materials, 21(5), 567–579.

Ma, G., & Sheng, P. (2016). Acoustic meta-materials: From local resonances to broad horizons. Science Advances, 2(2), e1501595.

Mirzaali, M. J., et al. (2021). Functionally graded meta-biomaterials: Design, fabrication, and characterization. Materials Today Advances, 10, 100126.

Miriyev, A., Stack, K., & Lipson, H. (2020). Soft material robotics with self-healing and reconfigurable meta-structures. Nature Communications, 11(1), 1–9.

Ngo, T. D., Kashani, A., Imbalzano, G., Nguyen, K. T. Q., & Hui, D. (2018). Additive manufacturing (3D printing): A review of materials, methods, applications and challenges. Composites Part B: Engineering, 143, 172–196.

Overvelde, J. T. B., Weaver, J. C., Hoberman, C., & Bertoldi, K. (2017). Rational design of reconfigurable prismatic architectures. Nature, 541(7637), 347–352.

Rosenkrantz, A., Zhang, Q., & Li, X. (2020). Micro-architectural control in metallic lattice printing. Additive Manufacturing, 36, 101572.

Sigmund, O., & Maute, K. (2013). Topology optimization approaches. Structural and Multidisciplinary Optimization, 48(6), 1031–1055.

Tao, F., Qi, Q., Liu, A., & Kusiak, A. (2019). Data-driven smart manufacturing. Journal of Manufacturing Systems, 48, 157–169.

Wang, Y., Wu, Y., & Sun, C. (2020). Tunable photonic and magneto-elastic meta-materials. Advanced Functional Materials, 30(14), 1909555.

Xu, S., Chen, Y., & Zhu, Y. (2021). Electromechanical coupling in architected lattices. Advanced Science, 8(9), 2003158.

Yap, C. Y., Chua, C. K., & Dong, Z. L. (2020). Review of selective laser melting: Materials and process optimization. Applied Physics Reviews, 7(4), 041312.

Zhang, D., Guo, Y., & Lu, H. (2022). Deep generative models for inverse design of meta-materials. npj Computational Materials, 8(1), 11.

Zhang, Y., Wang, Q., & Chen, Y. (2023). Residual-stress control in additive-manufactured lattice materials. Journal of Materials Processing Technology, 312, 117804.

Zheng, X., et al. (2016). Multiscale metallic lattices with hierarchical architecture. Nature Materials, 15(10), 1100–1106.

Downloads

Published

2024-02-01

Submitted

2023-11-21

Revised

2023-12-26

Accepted

2024-01-02

Issue

Section

Articles

How to Cite

Prabowo, R., Tanaka, H., & Park, J.-H. (2024). Architected Meta-Materials: Additive Fabrication, Multiphysics Behavior, and Design Inversion. Multidisciplinary Engineering Science Open, 1, 1-11. https://www.jmesopen.com/index.php/jmesopen/article/view/29

Similar Articles

11-20 of 32

You may also start an advanced similarity search for this article.