Page 126 - MSAM-3-2

Materials Science in Additive Manufacturing Hybrid lattice structures design with AI

Simulation, additive manufacturing, and experiment. Mater doi: 10.1002/adom.201500436
Horizons. 2018;5(5):939-945.
51. Michielsen K, Stavenga DG. Gyroid cuticular structures in
doi: 10.1039/C8MH00653A butterfly wing scales: Biological photonic crystals. J R Soc
Interface. 2008;5(18):85-94.
44. Zheng X, Chen TT, Guo X, Samitsu S, Watanabe I.
Controllable inverse design of auxetic metamaterials using doi: 10.1098/rsif.2007.1065
deep learning. Mater Des. 2021;211:110178. 52. Lai M, Kulak AN, Law D, Zhang Z, Meldrum FC,
doi: 10.1016/j.matdes.2021.110178 Riley DJ. Profiting from nature: Macroporous copper with
superior mechanical properties. Chem Commun (Camb).
45. Sui F, Guo R, Zhang Z, Gu GX, Lin L. Deep reinforcement 2007;34:3547-3549.
learning for digital materials design. ACS Mater Lett.
2021;3(10):1433-1439. doi: 10.1039/b707469g

doi: 10.1021/acsmaterialslett.1c00390 53. Brakke KA. The surface evolver. Exp Math. 1992;1(2):
141-165.
46. Wilt JK, Yang C, Gu GX. Accelerating auxetic
metamaterial design with deep learning. Adv Eng Mater. doi: 10.1080/10586458.1992.10504253
2020;22(5):1901266. 54. Dong G, Tang Y, Zhao YF. A 149 line homogenization code

doi: 10.1002/adem.201901266 for three-dimensional cellular materials written in matlab.
J Eng Mater Technol. 2019;141(1):11.
47. Do Carmo MP. Differential Geometry of Curves and Surfaces.
2 ed. New York: Springer Cham; 2016. doi: 10.1115/1.4040555
nd
48. Schoen AH. NASA Technical Note D-5541; 1970. 55. Abadi M, Barham P, Chen J, et al. TensorFlow: A System for
Large-Scale Machine Learning. In: 12 USENIX Symposium
th
49. Matsen MW, Bates FS. Origins of complex self-assembly in on Operating Systems Design and Implementation. 2016.
block copolymers. Macromolecules. 1996;29(23):7641-7644. p. 265-283.
doi: 10.1021/ma960744q 56. Yan H, Yu H, Zhu S, Wang Z, Zhang Y, Guo L. Nonlinear
50. Pouya C, Overvelde JT, Kolle M, et al. Characterization of properties prediction and inverse design of a porous auxetic
a mechanically tunable gyroid photonic crystal inspired by metamaterial based on neural networks. Thin Walled Struct.
the butterfly parides sesostris. Adv Opt Mater. 2015;4(1): 2024;197:111717.
99-105. doi: 10.1016/j.tws.2024.111717

Volume 3 Issue 2 (2024) 13 doi: 10.36922/msam.3430