JH Lee, Z Zhang, and GX Gu. Maximum electro-momentum coupling in piezoelectric metamaterial scatterers. Journal of Applied Physics, 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

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

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

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, 2021

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]