Publications
Featured Paper
Abstract: Additive manufacturing has been recognized as an industrial technological revolution for manufacturing, which allows the fabrication of materials with complex three-dimensional (3D) structures directly from computer-aided design models. Using Read more
Citation: M. Lu, A. Mohammadi, Z. Meng, X. Meng, G. Li and Z. Li. Deep neural operator for learning transient response of interpenetrating-phase composites subject to dynamic loading. Computational Mechanics, 2023, 72: 563-576. 10.1007/s00466-023-02343-6
Deep neural operator for learning transient response of interpenetrating-phase composites subject to dynamic loading
All Journal Publications
2024
18. Kothari, A., Ozsoy, I. B., & Li, G. (2024). A parametrized continuum constitutive model for reinforced thermoplastic composites with mechanically interlocked interface. International Journal of Solids and Structures, 302, 112994. S0020768324003536
17. Lu, M., Lin, C., Maxey, M., Karniadakis, G. E., & Li, Z. (2024). "Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural operator learning." International Journal of Multiphase Flow, 180, 104959. S0301932224002362
16. Lu, Minglei, Chensen Lin, Martin Maxey, George Em Karniadakis, Zhen Li (2024) "Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural operator learning" Arxiv.org-2403.13299
15. Puskal Kunwar, Ujjwal Aryal, Arun Poudel, Daniel Fougnier, Zachary J Geffert, Rui Xie, Zhen Li, and Pranav Soman (2024) "Droplet bioprinting of acellular and cell-laden structures at high-resolutions" IOP Science - 10.1088/1758-5090/ad4c09/meta
14. Pradeep, SA, Kharbas, H, Turng, LS, Avalos, A, Lawrence, JG., Li, G, & Pilla, S. (2024). "Microstructure-Process-Property relationships of PLA-PBSA bimodal foams." Manufacturing Letters - 10.1016/j.mfglet.2024.04.003
13. Lu, Minglei, Yidong Xia, Tiasha Bhattacharjee, Jordan Klinger, and Zhen Li. "Predicting biomass comminution: Physical experiment, population balance model, and deep learning." Powder Technology 441 (2024): 119830 - 10.1016/j.powtec.2024.119830
12. Kiyani, E., Kooshkbaghi, M., Shukla, K., Koneru, R. B., Li, Z., Bravo, L., ... & Karttunen, M. (2024). Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs. Journal of Fluid Mechanics, 985, A7. - 02C187FF695846B66D9F54EC5A261078
11. Pradeep SA, Deshpande AM, Lavertu P-Y, Ting, Z. Aditya, V.A. Yiro, A. Li, G, Pilla, S. A novel digital lifecycle for Material-Process-Microstructure-Performance relationships of thermoplastic olefins foams manufactured via supercritical fluid assisted foam injection molding. Polym Eng Sci. 2024;1‐19. doi:10.1002/pen.26700 - 10.1002/pen.26700
10. Chen, Y., Gao, Z., Hoo, S.A., Tipnis, V., Wang, R., Mitevski, I., Hitchcock, D., Simmons, K.L., Sun, Y., Sarntinoranont, M., Huang, Y., “Sequential Dual Alignments Introduce Synergistic Effect on Hexagonal Boron Nitride Platelets for Superior Thermal Performance,” Advanced Materials, p.2314097, 2024. 10.1002/adma.202314097