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Zhizhou Zhang
Zhizhou Zhang
Research Fellow, University of Manchester
Bestätigte E-Mail-Adresse bei manchester.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
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
3872019
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
2282019
Deep multiredshift limits on Epoch of Reionization 21 cm power spectra from four seasons of Murchison Widefield Array observations
CM Trott, CH Jordan, S Midgley, N Barry, B Greig, B Pindor, JH Cook, ...
Monthly Notices of the Royal Astronomical Society 493 (4), 4711-4727, 2020
2222020
Machine learning for advanced additive manufacturing
Z Jin, Z Zhang, K Demir, GX Gu
Matter 3 (5), 1541-1556, 2020
2122020
An overview of laser-based multiple metallic material additive manufacturing: from macro-to micro-scales
C Wei, Z Zhang, D Cheng, Z Sun, M Zhu, L Li
International Journal of Extreme Manufacturing 3 (1), 012003, 2020
1912020
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
1562020
Generative machine learning algorithm for lattice structures with superior mechanical properties
S Lee, Z Zhang, GX Gu
Materials Horizons 9 (3), 952-960, 2022
932022
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
822021
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
742021
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
742021
Physics-informed deep learning for digital materials
Z Zhang, GX Gu
Theoretical and Applied Mechanics Letters 11 (1), 100220, 2021
602021
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
552022
A new MWA limit on the 21 cm power spectrum at redshifts∼ 13–17
S Yoshiura, B Pindor, JLB Line, N Barry, CM Trott, A Beardsley, ...
Monthly Notices of the Royal Astronomical Society 505 (4), 4775-4790, 2021
552021
Finite‐Element‐Based Deep‐Learning Model for Deformation Behavior of Digital Materials
Z Zhang, GX Gu
Advanced Theory and Simulations 3 (7), 2000031, 2020
452020
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
292021
Deep learning accelerated design of mechanically efficient architected materials
S Lee, Z Zhang, GX Gu
ACS Applied Materials & Interfaces 15 (18), 22543-22552, 2023
282023
Exceptional mechanical performance by spatial printing with continuous fiber: Curved slicing, toolpath generation and physical verification
G Fang, T Zhang, Y Huang, Z Zhang, K Masania, CCL Wang
Additive Manufacturing 82, 104048, 2024
242024
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
242020
Additive manufacturing of lithium aluminosilicate glass-ceramic/metal 3D electronic components via multiple material laser powder bed fusion
D Cheng, C Wei, Y Huang, Z Zhang, D Wang, Z Liu, M Newman, T Ma, ...
Additive Manufacturing 49, 102481, 2022
172022
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
162022
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