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

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, Accepted, 2024.

Caroline Kerfonta, Sunuk Kim, Ye Chen, Qiong Zhang and Mo Jiang. “Sequential Selection for Minimizing the Variance with Application to Crystallization Experiments”, The American Statistician, Accepted, (2024).

Madhura Athale, Taejoon Park, Ryan Hahnlen, Farhang Pourboghrat. “Design, performance, and cost savings of using GF-PC additively manufactured tooling for stamping of HSS 590 sheet metal.” Journal of Manufacturing Processes 101 (2023), 1-14.

Pradeep, S.A.; Kharbas, H.; Turng, L.-S.; Avalos, A.; Lawrence, J.G. Li, G.; Pilla, S. Advancements in Bimodal Foam Generation in PLA-PBSA Biopolymer Blends via Supercritical Fluid-Assisted Injection Molding, Manufacturing Letters (Accepted)

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.

N. K. Brown, A. Deshpande, A. Garland, S. A. Pradeep, G. Fadel, S. Pilla, G. Li, "Deep reinforcement learning for the design of mechanical metamaterials with tunable deformation and hysteretic characteristics," Materials and Design, vol. 235, 112428,2023.

K.C. Chan, Z. Li and W. Wenzel. A Mori-Zwanzig dissipative particle dynamics approach for anisotropic coarse grained molecular dynamics. Journal of Chemical Theory and Computation, 2023, 19(3): 910-923.

Sternberg, J. & Pilla, S. Chemical recycling of a lignin-based non-isocyanate polyurethane foam. Nature Sustainability, 2023, 6, 316–324.

Sternberg, J. & Pilla, S. A Thermoplastic Polymer from Lignin: Creating an Extended Polyamide Network through Reactive Kraft Lignin Derivatives. ACS Omega, 2023, 8, 43, 40110-40118.

Sternberg, J. and Pilla, S. Structure-property relationships in flexible and rigid lignin-derived polyurethane foams: A review, Materials Today Sustainability, 2024, 25, 100643.

Y. Wu, F. Ding, F. Luo and G. Li. Mechanical property prediction and microstructure generation of porous materials using deep learning. Mechanics of Advanced Materials and Structures, 2024 (under review)

P. Kunwar, A. Poudel, U. Aryal, R. Xie, Z. J. Geffert, H. Wittmann, T. H. Chiang, M. M. Maye, Z. Li and P. Soman. Meniscus-enabled Projection Stereolithography (MAPS). Advanced Materials, 2024 (under review), DOI: 10.1101/2023.06.12.544584.

Z. Zou, X. Meng and G. Karniadakis. Uncertainty quantification for noisy inputs-outputs in physics-informed neural networks and neural operators, SIAM/ASA Journal on Uncertainty Quantification, 2024 (under review), DOI: 10.48550/arXiv.2311.11262.

M. Lu, Y. Xia, T. Bhattacharjee, J. Klinger and Z. Li. Predicting comminution of lignocellulosic biomass: Physical experiment, population balance model, and deep learning, Biomass and Bioenergy, 2024 (under review), DOI: 10.2139/ssrn.4684975.

P. Kunwar, U. Aryal, A. Poudel, D. Fougnier, Z. Geffert, R. Xie, Z. Li and P. Soman. Droplet bioprinting of acellular and cell-laden structures at high-resolutions, Biofabrication, 2024 (under review), DOI: 10.1101/2023.11.18.567660

E. Kiyani, M. Kooshkbaghi, K. Shukla, R. Koneru, Z. Li, A. Flatau, L. Bravo, G. Karniadakis and M. Karttunen. Characterization of partial wetting by multiphase many-body dissipative particle dynamics and data-driven discovery based on Physics-Informed Neural Networks, Journal of Fluid Mechanics, 2024 (under review), DOI: 10.48550/arXiv.2307.09142.