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Publications

Featured Paper:

Vapor-induced phase-separation-enabled versatile direct ink writing
Screenshot 2024-12-16 144805.jpg

Abstract: Versatile printing of polymers, metals, and composites always calls for simple, economic approaches. Here we present an approach to three-dimensional (3D) printing of polymeric, metallic, and composite materials at room conditions, based on the polymeric vapor-induced phase separation (VIPS) process. During VIPS 3D printing (VIPS-3DP), a dissolved polymer-based ink is deposited in an environment where nebulized non-solvent is present, inducing the low-volatility solvent to be extracted from the filament in a controllable manner due to its higher chemical affinity with the non-solvent used. Read more

Citation: Sole-Gras, M., Ren, B., Ryder, B. J., Ge, J., Huang, J., Chai, W., ... & Huang, Y. (2024). Vapor-induced phase-separation-enabled versatile direct ink writing. Nature Communications, 15(1), 3058. - s41467-024-47452-9

All Journal Publications 

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23

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Finite Element Simulation and Mathematical Modeling of High-Elongation Rate Rib 1* 1 Weft-Knitted Fabric.

Delavari, Koorosh, Taejoon Park, Mostafa Elnaggar, Madhura Athale, and Farhang Pourboghrat. "Finite Element Simulation and Mathematical Modeling of High-Elongation Rate Rib 1* 1 Weft-Knitted Fabric." (2024)

Lead PI:
Farhang Pourboghrat
Supporting PI:
Taejoon Park

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22

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Predicting Mechanical Properties of 3D Printed PLA Carbon Fiber Beyond Printing Parameter Dependencies.

Elnaggar, Mostafa, Madhura Athale, Taejoon Park, Koorosh Delavari, Reza Rezaei, and Farhang Pourboghrat. "Predicting Mechanical Properties of 3D Printed PLA Carbon Fiber Beyond Printing Parameter Dependencies." (2024)

Lead PI:
Farhang Pourboghrat
Supporting PI: Taejoon Park

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21

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Multi‐Material Gradient Printing Using Meniscus‐enabled Projection Stereolithography (MAPS)

Kunwar, Puskal, Arun Poudel, Ujjwal Aryal, Rui Xie, Zachary J. Geffert, Haven Wittmann, Daniel Fougnier et al. "Multi‐Material Gradient Printing Using Meniscus‐enabled Projection Stereolithography (MAPS)." Advanced Materials Technologies (2024)

Lead PI: Zhen Li

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20

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Convergent laser beam shapes: Unveiling the dynamics of Laser-induced elastic waves in composite materials

Zarei, Alireza, Gang Li, Farhang Pourboghrat, and Srikanth Pilla. "Convergent laser beam shapes: Unveiling the dynamics of Laser-induced elastic waves in composite materials." Results in Physics (2024)

Lead PI: Srikanth Pilla 
Supporting PI: Gang Li, Farhang Pourboghrat

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19

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PINNs4Drops: Convolutional feature-enhanced physics-informed neural networks for reconstructing two-phase flows

Dreisbach, Maximilian, Elham Kiyani, Jochen Kriegseis, George Karniadakis, and Alexander Stroh. "PINNs4Drops: Convolutional feature-enhanced physics-informed neural networks for reconstructing two-phase flows." arXiv preprint arXiv:2411.15949 (2024)

Lead PI:
George Karniadakis

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18

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Advancing Automotive Light-weighting: Material–Process–Microstructure–Performance (MP2) Relationships of Supercritical Foam Injection of PP–Graphene Nanocomposite Foams and Over-molding

Pradeep, Sai Aditya, et al. "Advancing Automotive Light-weighting: Material–Process–Microstructure–Performance (MP2) Relationships of Supercritical Foam Injection of PP–Graphene Nanocomposite Foams and Over-molding." SAE International Journal of Sustainable Transportation, Energy, Environment, & Policy 5.13-05-03-0019 (2024).

Lead PI: Srikanth Pilla
Supporting PI: James Sternberg, Gang Li 

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A parametrized continuum constitutive model for reinforced thermoplastic composites with mechanically interlocked interface

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. (2024)

Lead PI: Gang Li

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Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural operator learning

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. (2024)

Lead PI:
George Karniadakis

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15

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Droplet bioprinting of acellular and cell-laden structures at high-resolutions

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 (2024)

Lead PI: Zhen Li

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14

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Microstructure-Process-Property relationships of PLA-PBSA bimodal foams

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 (2024)

Lead PI: Srikanth Pilla
Supporting PI: Gang Li

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13

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Predicting biomass comminution: Physical experiment, population balance model, and deep learning

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 (2024)

Lead PI: Zhen Li

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12

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Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs

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. (2024)

Lead PI: George Karniadakis
Supporting PI: Zhen Li

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11

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A novel digital lifecycle for Material-Process-Microstructure-Performance relationships of thermoplastic olefins foams manufactured via supercritical fluid assisted foam injection molding

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 

Lead PI: Srikanth Pilla
Supporting PI: Gang Li

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Sequential Dual Alignments Introduce Synergistic Effect on Hexagonal Boron Nitride Platelets for Superior Thermal Performance

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)

Lead PI: Yong Huang
Supporting PI's: Kevin L. Simmons, Dale Hitchcock

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09

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Sequential Selection for Minimizing the Variance with Application to Crystallization Experiments

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, 1-16, (2024)

Lead PI: Qiong Zhang

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08

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Vapor-induced phase-separation-enabled versatile direct ink writing

Sole-Gras, M., Ren, B., Ryder, B. J., Ge, J., Huang, J., Chai, W., ... & Huang, Y. (2024). "Vapor-induced phase-separation-enabled versatile direct ink writing." Nature Communications, 15(1), 3058

Lead PI: Yong Huang

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07

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Design, performance, and cost savings of using GF-PC additively manufactured tooling for stamping of HSS 590 sheet metal

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. (2024)

Lead PI: Farhang Pourboghrat

Supporting PI: Taejoon Park

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06

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Deep neural operator for learning transient response of interpenetrating-phase composites subject to dynamic loading.

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.

Lead PI: Zhen Li
Supporting PI's: Gang Li

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05

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Deep reinforcement learning for the design of mechanical metamaterials with tunable deformation and hysteretic characteristics

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). 

Lead PI: 
Srikanth Pilla
Supporting PI's: Gang Li

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04

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A Mori-Zwanzig dissipative particle dynamics approach for anisotropic coarse grained molecular dynamics

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. (2023)

Lead PI: Zhen Li

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03

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A Thermoplastic Polymer from Lignin: Creating an Extended Polyamide Network through Reactive Kraft Lignin Derivatives

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. (2023)

Lead PI's : 
Srikanth Pilla
Supporting PI: James Sternberg

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02

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Structure-property relationships in flexible and rigid lignin-derived polyurethane foams: A review

Sternberg, J. and Pilla, S. "Structure-property relationships in flexible and rigid lignin-derived polyurethane foams: A review", Materials Today Sustainability, 2023, 25, 100643.

Lead PI's : 
Srikanth Pilla
Supporting PI: James Sternberg

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Chemical recycling of a lignin-based non-isocyanate polyurethane foam

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

Lead PI's : 
Srikanth Pilla
Supporting PI: James Sternberg

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