References
- Song, JunHo, et al. "Artificial Intelligence in the Design of Innovative Metamaterials: A Comprehensive Review." International Journal of Precision Engineering and Manufacturing (2023): 1-20.
- "Materials Project - Home." https://materialsproject.org/ (accessed Apr. 03, 2023).
- "MATDAT.com." https://www.matdat.com/ (accessed Apr. 03, 2023).
- "NOMAD Repository & Archive - NOMAD Lab." https://cms.nomad-lab.eu/services/repo-arch (accessed Apr. 04, 2023).
- "MoSDeF." https://mosdef.org/ (accessed Apr. 03, 2023).
- Oliveri, G., & Overvelde, J. T. B. (2020). Inverse design of mechanical metamaterials that undergo buckling. Advanced Functional Materials, 30(12), 1909033. https://doi.org/10.1002/ADFM.201909033
- Yun, S., Ahn, Y., & Kim, S. (2022). Tailoring elastomeric meshes with desired 1D tensile behavior using an inverse design algorithm and material extrusion printing. Additive Manufacturing, 60, 2214-8604. https://doi.org/10.1016/j.addma.2022.103254
- Zheng, X., Te Chen, T., Guo, X., Samitsu, S., & Watanabe, I.(2021).Controllable inverse design of auxetic metamaterials using deep learning. Materials and Design. https://doi.org/10.1016/J.MATDES.2021.110178
- Kollmann, H. T., Abueidda, D. W., Koric, S., Guleryuz, E., & Sobh, N. A. (2020). Deep learning for topology optimization of 2D metamaterials. Materials and Design. https://doi.org/10. 1016/J.MATDES.2020.109098 https://doi.org/10.1016/J.MATDES.2020.109098
- Ducamp, M., & Coudert, F.-X. (2022). Prediction of thermal properties of zeolites through machine learning. The Journal of Physical Chemistry C. https://doi.org/10.1021/acs.jpcc.1c09737
- Challapalli, A., &Li, G. (2021). Machine learning assisted design of new lattice core for sandwich structures with superior load carrying capacity. Scientifc Reports, 11, 18552. https://doi.org/10.1038/s41598-021-98015-7
- Hansen, A., Renner, M., Griesbeck, A. G., & Busgen, T. (2020). From3D to 4D printing: a reactor for photochemical experiments using hybrid polyurethane acrylates for vat-based polymerization and surface functionalization. Chemical Communications, 56(96), 15161-15164. https://doi.org/10.1039/D0CC06512A
- Goo, B., Hong, C. H., &Park, K. (2020). 4D printing using anisotropic thermal deformation of 3D-printed thermoplastic parts. Materials and Design, 188, 108485. https://doi.org/10.1016/J.MATDES.2020.108485