The main thrusts of our research are (1) bioinspired design, (2) multi-physics modeling, (3) machine learning driven design, and (4) advanced additive manufacturing technologies. Opening the design space of functional objects that can be printed will drive and revolutionize the face of additive manufacturing. More information is given below by category. Please see our publications page for examples from across these exciting research avenues.
(1) Bioinspired design - Mimicking the simple, yet elusive, design paradigms of nature
J Ott, M Lazalde, GX Gu, Bioinspiration and Biomimetics (2019); GX Gu et al., Journal of the Mechanical Behavior of Biomedical Materials (2017); GX Gu et al., Advanced Materials (2017); GX Gu et al., Extreme Mechanics Letters (2016); GX Gu et al., Journal of Biomechanical Engineering (2016)
(2) Multi-physics modeling - Investigating how complex phenomenon affect properties of materials
B Zheng and GX Gu, Nanotechnology (2019); B Zheng and GX Gu, Carbon (2019); Z Zhang, K Demir, GX Gu, Mechanics of Materials, (2019); GX Gu et al., Acta Mechanica (2018); GX Gu et al., Additive Manufacturing (2017); GX Gu et al., Journal of Applied Mechanics (2016)
(3) Machine learning driven design - Constructing materials from scratch using data science approaches
J Wilt, C Yang, GX Gu, Advanced Engineering Materials (2019); C Yang, Y Kim, S Ryu, and GX Gu, MRS Communications (2019); CT Chen and GX Gu, Advanced Theory and Simulations (2019); GX Gu et al., Extreme Mechanics Letters (2018); GX Gu et al., Materials Horizons (2018)
(4) Advanced additive manufacturing technologies - Developing new tools to realize complex geometries
Z Jin, Z Zhang, GX Gu, Advanced Intelligent Systems (2019); Z Jin, Z Zhang, GX Gu, Manufacturing Letters (2019)
