Hierarchically Enhanced Impact Resistance of Bioinspired Composites von Gu, Grace X., Takaffoli, Mahdi, Buehler, Markus J.

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Developments in 4D-printing: a review on current smart materials, technologies, and applications von Zhang, Zhizhou, Demir, Kahraman G., Gu, Grace X.

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Generative Deep Neural Networks for Inverse Materials Design Using Backpropagation and Active Learning von Chen, Chun‐Teh, Gu, Grace X.

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Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment von Gu, Grace X., Chen, Chun-Teh, Richmond, Deon J., Buehler, Markus J.

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Bone-Inspired Materials by Design: Toughness Amplification Observed Using 3D Printing and Testing von Libonati, Flavia, Gu, Grace X., Qin, Zhao, Vergani, Laura, Buehler, Markus J.

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Physics‐Informed Deep‐Learning For Elasticity: Forward, Inverse, and Mixed Problems von Chen, Chun‐Teh, Gu, Grace X.

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Printing nature: Unraveling the role of nacre's mineral bridges von Gu, Grace X, Libonati, Flavia, Wettermark, Susan D, Buehler, Markus J

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Physics-informed deep learning for digital materials von Zhang, Zhizhou, Gu, Grace X

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Deep learning framework for material design space exploration using active transfer learning and data augmentation von Kim, Yongtae, Kim, Youngsoo, Yang, Charles, Park, Kundo, Gu, Grace X., Ryu, Seunghwa

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Nano-topology optimization for materials design with atom-by-atom control von Chen, Chun-Teh, Chrzan, Daryl C., Gu, Grace X.

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Machine Learning-Based Detection of Graphene Defects with Atomic Precision von Zheng, Bowen, Gu, Grace X.

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Towards silent and efficient flight by combining bioinspired owl feather serrations with cicada wing geometry von Wei, Zixiao, Wang, Stanley, Farris, Sean, Chennuri, Naga, Wang, Ningping, Shinsato, Stara, Demir, Kahraman, Horii, Maya, Gu, Grace X.

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Ca2+-supplying black phosphorus-based scaffolds fabricated with microfluidic technology for osteogenesis von Li, Zhanrong, Zhang, Xingcai, Ouyang, Jiang, Chu, Dandan, Han, Fengqi, Shi, Liuqi, Liu, Ruixing, Guo, Zhihua, Gu, Grace X., Tao, Wei, Jin, Lin, Li, Jingguo

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Investigation of mechanical properties and structural integrity of graphene aerogels via molecular dynamics simulations von Zheng, Bowen, Liu, Chen, Li, Zhou, Carraro, Carlo, Maboudian, Roya, Senesky, Debbie G, Gu, Grace X

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Machine learning and experiments: A synergy for the development of functional materials von Zheng, Bowen, Jin, Zeqing, Hu, Grace, Gu, Jimin, Yu, Shao-Yi, Lee, Jeong-Ho, Gu, Grace X.

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Designing mechanically tough graphene oxide materials using deep reinforcement learning von Zheng, Bowen, Zheng, Zeyu, Gu, Grace X.

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Tunable mechanical properties through texture control of polycrystalline additively manufactured materials using adjoint-based gradient optimization von Gu, Grace X., Buehler, Markus J.

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Prediction of composite microstructure stress-strain curves using convolutional neural networks von Yang, Charles, Kim, Youngsoo, Ryu, Seunghwa, Gu, Grace X.

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Tuning the graphene mechanical anisotropy via defect engineering von Zheng, Bowen, Gu, Grace X.

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Deep Learning Accelerated Design of Mechanically Efficient Architected Materials von Lee, Sangryun, Zhang, Zhizhou, Gu, Grace X.

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