| 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 | 387 | 2019 |
| 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 | 228 | 2019 |
| Machine learning for advanced additive manufacturing Z Jin, Z Zhang, K Demir, GX Gu Matter 3 (5), 1541-1556, 2020 | 210 | 2020 |
| 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 | 156 | 2020 |
| Generative machine learning algorithm for lattice structures with superior mechanical properties S Lee, Z Zhang, GX Gu Materials Horizons 9 (3), 952-960, 2022 | 91 | 2022 |
| Monitoring anomalies in 3D bioprinting with deep neural networks Z Jin, Z Zhang, X Shao, GX Gu ACS Biomaterials Science & Engineering 9 (7), 3945-3952, 2021 | 82 | 2021 |
| Deep reinforcement learning for digital materials design F Sui, R Guo, Z Zhang, GX Gu, L Lin ACS Materials Letters 3 (10), 1433-1439, 2021 | 74 | 2021 |
| Precise localization and semantic segmentation detection of printing conditions in fused filament fabrication technologies using machine learning Z Jin, Z Zhang, J Ott, GX Gu Additive Manufacturing 37, 101696, 2021 | 72 | 2021 |
| Physics-informed deep learning for digital materials Z Zhang, GX Gu Theoretical and Applied Mechanics Letters 11 (1), 100220, 2021 | 61 | 2021 |
| Machine learning for accelerating the design process of double-double composite structures Z Zhang, Z Zhang, F Di Caprio, GX Gu Composite Structures 285, 115233, 2022 | 54 | 2022 |
| Finite‐Element‐Based Deep‐Learning Model for Deformation Behavior of Digital Materials Z Zhang, GX Gu Advanced Theory and Simulations 3 (7), 2000031, 2020 | 45 | 2020 |
| Birefringent silk fibroin hydrogel constructed via binary solvent-exchange-induced self-assembly T Shu, K Zheng, Z Zhang, J Ren, Z Wang, Y Pei, J Yeo, GX Gu, S Ling Biomacromolecules 22 (5), 1955-1965, 2021 | 29 | 2021 |
| Deep learning accelerated design of mechanically efficient architected materials S Lee, Z Zhang, GX Gu ACS Applied Materials & Interfaces 15 (18), 22543-22552, 2023 | 28 | 2023 |
| Computational and experimental design exploration of 3d‐printed soft pneumatic actuators KG Demir, Z Zhang, J Yang, GX Gu Advanced Intelligent Systems 2 (7), 2000013, 2020 | 25 | 2020 |
| Laser scan strategy descriptor for defect prognosis in metal additive manufacturing using neural networks K Demir, Z Zhang, A Ben-Artzy, P Hosemann, GX Gu Journal of Manufacturing Processes 67, 628-634, 2021 | 16 | 2021 |
| Efficient pneumatic actuation modeling using hybrid physics-based and data-driven framework Z Zhang, Z Jin, GX Gu Cell Reports Physical Science 3 (4), 2022 | 14 | 2022 |
| Rational design of piezoelectric metamaterials with tailored electro-momentum coupling Z Zhang, JH Lee, GX Gu Extreme Mechanics Letters 55, 101785, 2022 | 12 | 2022 |
| Tailoring the Dynamic Actuation of 3D‐Printed Mechanical Metamaterials through Inherent and Extrinsic Instabilities Z Vangelatos, Z Zhang, GX Gu, CP Grigoropoulos Advanced Engineering Materials 22 (6), 1901586, 2020 | 12 | 2020 |
| Machine learning for advanced additive manufacturing. Matter 3: 1541–1556 Z Jin, Z Zhang, K Demir, GX Gu | 11 | 2020 |
| Maximum electro-momentum coupling in piezoelectric metamaterial scatterers JH Lee, Z Zhang, GX Gu Journal of Applied Physics 132 (12), 2022 | 10 | 2022 |
