Research
Our research interests fall in the following categories (1) bioinspired design, (2) multi-physics modeling, (3) machine learning driven design, (4) advanced additive manufacturing technologies, and (5) soft robotics applications. 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.
C Lee et al., Cell Reports Physical Science (2023), S Lee et al., Cell Reports Physical Science (2022), A Chen et al., Materials (2021), J Ott et al., Bioinspiration and Biomimetics (2019); GX Gu et al., Journal of the Mechanical Behavior of Biomedical Materials (2017); GX Gu et al., Advanced Materials (2017)
Lee et al., Journal of the Mechanics and Physics of Solids (2023), Jin et al., Journal of Intelligent Manufacturing (2023), B Zheng et al., PCCP (2023), B Zheng et al, npj Computational Materials (2022), B Zheng et al., Carbon (2019); Z Zhang et al., Mechanics of Materials, (2019)
S Lee et al., ACS Applied Materials & Interfaces (2023), D Park et al., Materials & Design (2022), S Lee et al., Materials Horizons (2022), Z Zhang et al., Advanced Theory and Simulations (2020), Yang et al., Materials & Design (2020)
Smaldone et al., Device (2023), Z Jin et al., ACS Biomaterials Science & Engineering (2021), Z Jin et al., Additive Manufacturing (2021), Z Jin et al., Matter (2020), Z Jin et al., Advanced Intelligent Systems (2019); Z Jin et al., Manufacturing Letters (2019)
Z Zhang et al., Cell Reports Physical Science (2022), K Demir et al., Advanced Intelligent Systems (2020); Z Vangelatos et al., Advanced Engineering Materials (2020)
