Publications
D Lim, S Lee, JH Lee, W Choi, GX Gu. Mechanical metamaterials as broadband electromagnetic wave absorbers: Investigating relationships between geometrical parameters and electromagnetic response. Materials Horizons, 2024
S Lee, J Kwon, H Kim, RO Ritchie, and GX Gu. Advancing programmable metamaterials through machine learning-driven buckling strength optimization. Current Opinion in Solid State and Materials Science, 2024
Z Wei, S Wang, S Farris, N Chennuri, N Wang, S Shinsato, K Demir, M Horii, and GX Gu. Towards silent and efficient flight by combining bioinspired owl feather serrations with cicada wing geometry. Nature Communications, 2024
Z Zhang, JH Lee, L Sun, and GX Gu. Weak-formulated physics-informed modeling and optimization for heterogeneous digital materials. PNAS Nexus, 2024
J Lee, H Han, D Noh, J Lee, DD Lim, J Park, GX Gu, and W Choi. Multiscale Porous Architecture Consisting of Graphene Aerogels and Metastructures Enabling Robust Thermal and Mechanical Functionalities of Phase Change Materials. Advanced Functional Materials, 2024
D Park, J Lee, H Lee, GX Gu, and S Ryu. Deep generative spatiotemporal learning for integrating fracture mechanics in composite materials: inverse design, discovery, and optimization. Materials Horizons, 2024
B Zheng, GX Gu, CD Santos, R Neumann Barros Ferreira, M Steiner, and B Luan. Simulating CO2 diffusivity in rigid and flexible Mg-MOF-74 with machine-learning force fields. APL Machine Learning, 2024
J Jung, A Chen, and GX Gu. Aperiodicity is all you need: Aperiodic monotiles for high-performance composites. Materials Today, 2024 [PDF]
S Lee, H Sheikh, D Lim, GX Gu, and P Marcus. Bayesian-optimized riblet surface design for turbulent drag reduction via design-by-morphing with large eddy simulation. Journal of Mechanical Design, 2024
Z Wei, Z Zhang, D Lim, J Rey, M Jones, and GX Gu. Influence of bioinspired riblet topographies on the mitigation of flow-induced noise in towed sonar arrays. Extreme Mechanics Letters, 2024
Z Jin, D Lim, X Zhao, M Mamunuru, S Roham, and GX Gu. Machine learning enabled optimization of showerhead design for semiconductor deposition process. Journal of Intelligent Manufacturing, 2024
E Antimirova, J Jung, Z Zhang, A Machuca, and GX Gu. Overview of computational methods to predict flutter in aircraft. Journal of Applied Mechanics, 2024
C Lee, H Shi, J Jung, B Zheng, K Wang, R Tutika, R Long, B Lee, GX Gu, and MD Bartlett. Bioinspired materials for underwater adhesion with pathways to switchability. Cell Reports Physical Science, 2023
B Zheng, C Liu, Z Li, C Carraro, R Maboudian, DG Senesky, and GX Gu. Investigation of mechanical properties and structural integrity of graphene aerogels via molecular dynamics simulations. Physical Chemistry Chemical Physics, 2023
Z Jin, B Zheng, C Kim, and GX Gu. Leveraging graph neural networks and neural operator techniques for high-fidelity mesh-based physics simulations. APL Machine Learning, 2023
JH Lee, Z Zhang, and GX Gu. Dynamic homogenization of heterogeneous piezoelectric media: a polarization approach using infinite-body Green’s function. Journal of the Mechanics and Physics of Solids, 2023
RA Smaldone, KA Brown, GX Gu, and C Ke. Using 3D printing as a research tool for materials discovery. Device, 2023
B Zheng, F Oliveira, R Neumann Barros Ferreira, M Steiner, H Hamann, GX Gu, and B Luan. Quantum informed machine-learning potentials for molecular dynamics simulations of CO2’s chemisorption and diffusion in Mg-MOF-74. ACS Nano, 2023
Z Jin, G Hu, Z Zhang, SY Yu, and GX Gu. Modeling and analysis of post-processing conditions on 4D-bioprinting of deformable hydrogel-based biomaterial inks. Bioprinting, 2023
S Lee, Z Zhang, and GX Gu. Deep learning accelerated design of mechanically efficient architected materials. ACS Applied Materials & Interfaces, 2023
CT Chen and GX Gu. Physics-informed deep-learning for elasticity: Forward, inverse, and mixed problems. Advanced Science, 2023
M Abed, E Archibeck, R Isied, Y Feteih, G O’Connell, and GX Gu. Influence of radial stiffness gradients on porous composite bulk mechanics. Advanced Engineering Materials, 2023
SY Yu, S Lee, Z Zhang, Z Jin, and GX Gu. From brittle to ductile: Symmetry breaking in strut-based architected materials. ACS Materials Letters, 2023
B Zheng, Z Jin, G Hu, J Gu, SY Yu, JH Lee, and GX Gu. Machine learning and experiments: A synergy for the development of functional materials. MRS Bulletin, 2023
AY Chen, A Chen, A Fitzhugh, A Hartman, P Kaiser, I Nwaogwugwu, J Zeng, and GX Gu. Multi Jet Fusion printed lattice materials: Characterization and prediction of mechanical performance. Materials Advances, 2023
JH Lee, Z Zhang, and GX Gu. Maximum electro-momentum coupling in piezoelectric metamaterial scatterers. Journal of Applied Physics, 2022
AY Chen, A Chen, J Wright, A Fitzhugh, A Hartman, J Zeng, and GX Gu. Effect of build parameters on the mechanical behavior of polymeric materials produced by multi-jet fusion. Advanced Engineering Materials, 2022
D Park, J Jung, GX Gu, and S Ryu. A generalizable and interpretable deep learning model to improve the prediction accuracy of strain fields in grid composites. Materials & Design, 2022
S Lee, W Choi, JW Park, D Kim, S Nahm, W Jeon, GX Gu, M Kim, and S Ryu. Machine learning-enabled development of high performance gradient-index phononic crystals for energy focusing and harvesting. Nano Energy, 2022
Z Zhang, JH Lee, and GX Gu. Rational design of piezoelectric metamaterials with tailored electro-momentum coupling. Extreme Mechanics Letters, 2022
S Lee, DD Lim, E Pegg, and GX Gu. The origin of high-velocity impact response and damage mechanisms for bioinspired composites. Cell Reports Physical Science, 2022
V Shah, S Zadourian, C Yang, Z Zhang, and GX Gu. Data-driven approach for the prediction of mechanical properties of carbon fiber reinforced composites, Materials Advances, 2022
B Zheng, Z Zheng, and GX Gu. Designing mechanically tough graphene oxide materials using deep reinforcement learning. npj Computational Materials, 2022
Z Zhang, Z Jin, and GX Gu. Efficient pneumatic actuation modeling using hybrid physics-based and data-driven framework. Cell Reports Physical Science, 2022 [PDF]
S Lee, Z Zhang, and GX Gu. Generative machine learning algorithm for lattice structures with superior mechanical properties. Materials Horizons, 2022 [PDF]
Z Zhang, Z Zhang, F Di Caprio, and GX Gu. Machine learning for accelerating the design process of double-double composite structures. Composite Structures, 2022
B Zheng, Z Zheng, and GX Gu. Uncertainty quantification and prediction for mechanical properties of graphene aerogels via Gaussian process metamodels. Nano Futures, 2021
K Brown and GX Gu. Dimensions of smart additive manufacturing. Advanced Intelligent Systems, 2021 [PDF]
Y Kim, Y Kim, C Yang, K Park, GX Gu, and S Ryu. Deep learning framework for material design space exploration using active transfer learning and data augmentation. npj Computational Materials, 2021
A Chen, K Thind, K Demir, and GX Gu. Modeling bioinspired fish scale designs via a geometric and numerical approach. Materials, 2021
B Zheng, Z Zheng, and GX Gu. Scalable graphene defect prediction using transferable learning. Nanomaterials, 2021
F Sui, R Guo, Z Zhang, GX Gu, and L Lin. Deep reinforcement learning for digital materials design. ACS Materials Letters, 2021
AY Chen, E Pegg, A Chen, Z Jin, and GX Gu. 4D-printing of electro-active materials. Advanced Intelligent Systems, 2021
CT Chen and GX Gu. Learning hidden elasticity with deep neural networks. Proceedings of the National Academy of Sciences, 2021 [PDF]
T Shu, Z Lv, CT Chen, GX Gu, J Ren, L Cao, Y Pei, S Ling, and DL Kaplan. Mechanical training‐driven structural remodeling: A rational route for outstanding highly hydrated silk materials. Small, 2021
K Demir, Z Zhang, A Ben-Artzy, P Hosemann, and GX Gu. Laser scan strategy descriptor for defect prognosis in metal additive manufacturing using neural networks. Journal of Manufacturing Processes, 2021 [PDF]
Z Jin, Z Zhang, X Shao, and GX Gu. Monitoring anomalies in 3D-bioprinting with deep neural networks. ACS Biomaterials Science & Engineering, 2021 [PDF]
AY Chen, S Baehr, A Turner, Z Zhang, and GX Gu. Carbon-fiber reinforced polymer composites: A comparison of manufacturing methods on mechanical properties. International Journal of Lightweight Materials and Manufacture, 2021
B Zheng and GX Gu. Prediction of Graphene Oxide Functionalization using Gradient Boosting: Implications for Material Chemical Composition Identification. ACS Applied Nano Materials, 2021 [PDF]
T Shu, K Zheng, Z Zhang, J Ren, Z Wang, Y Pei, J Yeo, GX Gu, and S Ling. Birefringent Silk Fibroin Hydrogel Constructed via Binary Solvent-Exchange-Induced Self-Assembly. Biomacromolecules, 2021
Z Jin, Z Zhang, J Ott, and GX Gu. Precise localization and semantic segmentation detection of printing conditions in fused filament fabrication technologies using machine learning. Additive Manufacturing, 2021 [PDF]
Z Zhang and GX Gu. Physics-informed deep learning for digital materials. Theoretical & Applied Mechanics Letters, 2021 [PDF]
Z Jin, Z Zhang, K Demir, and GX Gu. Machine learning for advanced additive manufacturing. Matter, 2020 [PDF]
E Jacobs, C Yang, K Demir, and GX Gu. Vibrational detection of delamination in composites using a combined finite element analysis and machine learning approach. Journal of Applied Physics, 2020 [PDF]
B Zheng and GX Gu. Machine learning‑based detection of graphene defects with atomic precision. Nano-Micro Letters, 2020 [PDF]
CT Chen, D Chrzan, and GX Gu. Nano-topology optimization for materials design with atom-by-atom control. Nature Communications, 2020 [PDF]
YT Kim, C Yang, YS Kim, GX Gu, and S Ryu. Designing adhesive pillar shape with deep learning-based optimization. ACS Applied Materials & Interfaces, 2020 [PDF]
Z Zhang and GX Gu. Finite element based deep learning model for deformation behavior of digital materials. Advanced Theory and Simulations, 2020 [PDF]
K Demir, Z Zhang, J Yang, and GX Gu. Computational and experimental design exploration of 3D‐printed soft pneumatic actuators. Advanced Intelligent Systems, 2020 [PDF]
B Zheng and GX Gu. Stress field characteristics and collective mechanical properties of defective graphene. Journal of Physical Chemistry C, 2020 [PDF]
Z Vangelatos, Z Zhang, GX Gu, and CP Grigoropoulos. Tailoring the dynamic actuation of 3D printed mechanical metamaterials through inherent and extrinsic instabilities. Advanced Engineering Materials, 2020 [PDF]
C Yang, YS Kim, S Ryu, and GX Gu. Prediction of composite microstructure stress-strain curves using convolutional neural networks. Materials & Design, 2020 [PDF]
CT Chen and GX Gu. Generative deep neural networks for inverse materials design using backpropagation and active learning. Advanced Science, 2020 [PDF]
JD Ott, MT Lazalde, GX Gu. Algorithmic-driven design of shark denticle bioinspired structures for superior aerodynamic properties. Bioinspiration & Biomimetics, 2020 [PDF]
J Wilt, C Yang, and GX Gu. Accelerating auxetic metamaterial design with deep learning. Advanced Engineering Materials, 2020 [PDF]
Z Jin, Z Zhang, and GX Gu. Automated real‐time detection and prediction of inter‐Layer imperfections in additive manufacturing processes using artificial intelligence. Advanced Intelligent Systems, 2020 [PDF]
B Zheng and GX Gu. Recovery from mechanical degradation of graphene by defect enlargement. Nanotechnology, 2019 [PDF]
Z Vangelatos, GX Gu, C Grigoropoulos. Architected metamaterials with tailored 3D buckling mechanisms at the microscale. Extreme Mechanics Letters, 2019 [PDF]
B Zheng and GX Gu. Tuning graphene mechanical anisotropy via defect engineering. Carbon, 2019 [PDF]
Z Jin, Z Zhang, and GX Gu. Autonomous in-situ correction of fused deposition modeling printers using computer vision and deep learning. Manufacturing Letters, 2019 [PDF]
C Yang, YS Kim, S Ryu, and GX Gu. Using convolutional neural networks to predict composite properties beyond the elastic limit. MRS Communications, 2019 [PDF]
YS Kim, H Jeong, GX Gu, and S Ryu. A three-dimensional fracture pattern diagram of staggered platelet structures. Composite Structures, 2019
CT Chen and GX Gu. Effect of Constituent Materials on Composite Performance: Exploring Design Strategies via Machine Learning. Advanced Theory and Simulations, 2019 [PDF]
Z Zhang, K Demir, and GX Gu. Computational analysis of thermally induced stress concentration in structures with geometric constraints. Mechanics of Materials, 2019 [PDF]
CT Chen and GX Gu. Machine learning for composite materials. MRS Communications, 2019 [PDF]
Z Zhang, K Demir, and GX Gu. Developments in 4D-printing: A review on current smart materials, technologies, and applications. International Journal of Smart and Nano Materials, 2019 [PDF]
GX Gu, CT Chen, D Richmond, and MJ Buehler. Bioinspired hierarchical composite design using machine learning: Simulation, additive manufacturing, and experiment. Materials Horizons, 2018 [PDF]
GX Gu and MJ Buehler. Tunable mechanical properties through texture control of polycrystalline additively manufactured materials using adjoint- based gradient optimization. Acta Mechanica, 2018 [PDF]
J Yeo, GS Jung, FM Martinez, S Ling, GX Gu, Z Qin, and MJ Buehler. Materials-by-design: Computation, synthesis, and characterization from atoms to structures, Physica Scripta, 93 (5), 2018 [PDF]
GX Gu, CT Chen, and MJ Buehler. De novo composite design based on machine learning algorithm. Extreme Mechanics Letters, 18:19-28, 2018 [PDF]
GX Gu, M Takaffoli, and MJ Buehler. Hierarchically enhanced impact resistance of bioinspired composites. Advanced Materials, 29 (28), 2017 [PDF]
GX Gu, S Wettermark, and MJ Buehler. Algorithm driven design of fracture resistant composite materials realized through additive manufacturing. Additive Manufacturing, 17:47-54, 2017 [PDF]
GX Gu, F Libonati, S Wettermark, and MJ Buehler. Printing nature: Unraveling the role of nacre’s mineral bridges. Journal of the Mechanical Behavior of Biomedical Materials, 76:135-144, 2017 [PDF]
GX Gu, I Su, S Sharma, J Voros, Z Qin, and MJ Buehler. Three-dimensional-printing of bio-inspired composites. Journal of Biomechanical Engineering, 138 (2), 2016 [PDF]
GX Gu, L Dimas, Z Qin, and MJ Buehler. Optimization of composite fracture properties: Method, validation, and applications. Journal of Applied Mechanics, 83 (7), 2016 [PDF]
GX Gu, M Takaffoli, A Hsieh, and MJ Buehler. Biomimetic additive manufactured polymer composites for improved impact resistance. Extreme Mechanics Letters, 9:317-323, 2016 [PDF]
F Libonati, GX Gu, Z Qin, L Vergani, and MJ Buehler. Bone-inspired materials by design: Toughness amplification observed using 3D printing and testing. Advanced Engineering Materials, 18 (8), 2016 [PDF]