| Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment GX Gu, CT Chen, DJ Richmond, MJ Buehler Materials Horizons 5 (5), 939-945, 2018 | 496 | 2018 |
| De novo composite design based on machine learning algorithm GX Gu, CT Chen, MJ Buehler Extreme Mechanics Letters 18, 19-28, 2018 | 420 | 2018 |
| Hierarchically enhanced impact resistance of bioinspired composites GX Gu, M Takaffoli, MJ Buehler Advanced Materials 29 (28), 1700060, 2017 | 392 | 2017 |
| Developments in 4D-printing: a review on current smart materials, technologies, and applications Z Zhang, KG Demir, GX Gu International Journal of Smart and Nano Materials 10 (3), 205-224, 2019 | 372 | 2019 |
| Prediction of composite microstructure stress-strain curves using convolutional neural networks C Yang, Y Kim, S Ryu, GX Gu Materials & Design 189, 108509, 2020 | 339 | 2020 |
| Generative deep neural networks for inverse materials design using backpropagation and active learning CT Chen, GX Gu Advanced Science 7 (5), 1902607, 2020 | 284 | 2020 |
| Machine learning for composite materials CT Chen, GX Gu MRs Communications 9 (2), 556-566, 2019 | 281 | 2019 |
| Biomimetic additive manufactured polymer composites for improved impact resistance GX Gu, M Takaffoli, AJ Hsieh, MJ Buehler Extreme Mechanics Letters 9, 317-323, 2016 | 222 | 2016 |
| Autonomous in-situ correction of fused deposition modeling printers using computer vision and deep learning Z Jin, Z Zhang, GX Gu Manufacturing Letters 22, 11-15, 2019 | 213 | 2019 |
| Bone‐inspired materials by design: toughness amplification observed using 3D printing and testing F Libonati, GX Gu, Z Qin, L Vergani, MJ Buehler Advanced Engineering Materials 18 (8), 1354-1363, 2016 | 207 | 2016 |
| Machine learning for advanced additive manufacturing Z Jin, Z Zhang, K Demir, GX Gu Matter 3 (5), 1541-1556, 2020 | 195 | 2020 |
| Accelerating auxetic metamaterial design with deep learning JK Wilt, C Yang, GX Gu Advanced Engineering Materials 22 (5), 1901266, 2020 | 175 | 2020 |
| Three-dimensional-printing of bio-inspired composites G X. Gu, I Su, S Sharma, JL Voros, Z Qin, MJ Buehler Journal of biomechanical engineering 138 (2), 021006, 2016 | 171 | 2016 |
| Printing nature: Unraveling the role of nacre's mineral bridges GX Gu, F Libonati, SD Wettermark, MJ Buehler Journal of the mechanical behavior of biomedical materials 76, 135-144, 2017 | 156 | 2017 |
| Automated real‐time detection and prediction of interlayer imperfections in additive manufacturing processes using artificial intelligence Z Jin, Z Zhang, GX Gu Advanced Intelligent Systems 2 (1), 1900130, 2020 | 148 | 2020 |
| Deep learning framework for material design space exploration using active transfer learning and data augmentation Y Kim, Y Kim, C Yang, K Park, GX Gu, S Ryu npj Computational Materials 7 (1), 140, 2021 | 125 | 2021 |
| Ca2+-supplying black phosphorus-based scaffolds fabricated with microfluidic technology for osteogenesis Z Li, X Zhang, J Ouyang, D Chu, F Han, L Shi, R Liu, Z Guo, GX Gu, ... Bioactive materials 6 (11), 4053-4064, 2021 | 102 | 2021 |
| Architected metamaterials with tailored 3D buckling mechanisms at the microscale Z Vangelatos, GX Gu, CP Grigoropoulos Extreme Mechanics Letters 33, 100580, 2019 | 94 | 2019 |
| Optimization of composite fracture properties: method, validation, and applications GX Gu, L Dimas, Z Qin, MJ Buehler Journal of Applied Mechanics 83 (7), 071006, 2016 | 88 | 2016 |
| Using convolutional neural networks to predict composite properties beyond the elastic limit C Yang, Y Kim, S Ryu, GX Gu MRS Communications 9 (2), 609-617, 2019 | 78 | 2019 |