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Grace X. Gu
Grace X. Gu
Assistant Professor, Mechanical Engineering, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
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
4242018
De novo composite design based on machine learning algorithm
GX Gu, CT Chen, MJ Buehler
Extreme Mechanics Letters 18, 19-28, 2018
3712018
Hierarchically enhanced impact resistance of bioinspired composites
GX Gu, M Takaffoli, MJ Buehler
Advanced Materials 29 (28), 1700060, 2017
3522017
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
3242019
Prediction of composite microstructure stress-strain curves using convolutional neural networks
C Yang, Y Kim, S Ryu, GX Gu
Materials & Design 189, 108509, 2020
2652020
Generative deep neural networks for inverse materials design using backpropagation and active learning
CT Chen, GX Gu
Advanced Science 7 (5), 1902607, 2020
2392020
Machine learning for composite materials
CT Chen, GX Gu
MRs Communications 9 (2), 556-566, 2019
2312019
Biomimetic additive manufactured polymer composites for improved impact resistance
GX Gu, M Takaffoli, AJ Hsieh, MJ Buehler
Extreme Mechanics Letters 9, 317-323, 2016
2072016
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
1882016
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
1702019
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
1552016
Machine learning for advanced additive manufacturing
Z Jin, Z Zhang, K Demir, GX Gu
Matter 3 (5), 1541-1556, 2020
1472020
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
1422017
Accelerating auxetic metamaterial design with deep learning
JK Wilt, C Yang, GX Gu
Advanced Engineering Materials 22 (5), 1901266, 2020
1362020
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
1152020
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
932021
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
862021
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
802016
Architected metamaterials with tailored 3D buckling mechanisms at the microscale
Z Vangelatos, GX Gu, CP Grigoropoulos
Extreme Mechanics Letters 33, 100580, 2019
782019
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
662019
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