Dr Sihao Han , South China University of Technology , China
Publication profile
Google Scholar
Education and Experience
Sihao Han is currently pursuing his PhD in Mechanics at South China University of Technology, building upon his Bachelor’s degree in Mechanical Engineering from Southwest Jiaotong University. His academic journey is marked by a commitment to excellence and a passion for pushing the boundaries of knowledge in his field.
Academic Achievements
Sihao’s research is centered on solid mechanics, with a keen focus on understanding the wave characteristics and impact behavior of acoustic/mechanical metamaterials. Additionally, he is dedicated to advancing the development of multifunctional metamaterials. His goal is to leverage the power of artificial intelligence to revolutionize the application of metamaterials in demanding engineering contexts.
Research Focus
Sihao Han’s research centers on the innovative field of metamaterials, with a particular emphasis on their applications in energy absorption, vibration insulation, and wave propagation. His work involves the design and optimization of re-entrant honeycomb metamaterials and phononic crystals, leveraging advanced techniques like deep learning and reinforcement learning. Sihao’s studies aim to enhance the performance of these materials in demanding engineering applications, contributing to areas such as impact mitigation and load-bearing capacity. Through his interdisciplinary approach, Sihao bridges mechanical engineering with artificial intelligence to push the boundaries of materials science. 🚀🛠️
- 📚 “Hierarchical re-entrant honeycomb metamaterial for energy absorption and vibration insulation” – N Ma, Q Han, S Han, C Li, International Journal of Mechanical Sciences 250, 108307, 2023 (47 citations)
- 📚 “Design and reinforcement-learning optimization of re-entrant cellular metamaterials” – S Han, Q Han, N Ma, C Li, Thin-Walled Structures 191, 111071, 2023 (10 citations)
- 🧠 “Deep-learning-based inverse design of phononic crystals for anticipated wave attenuation” – S Han, Q Han, C Li, Journal of Applied Physics 132 (15), 2022 (9 citations)
- 🧠 “Inverse design of phononic crystals for anticipated wave propagation by integrating deep learning and semi-analytical approach” – S Han, Q Han, T Jiang, C Li, Acta Mechanica 234 (10), 4879-4897, 2023 (8 citations)
- 🔄 “Complex dispersion relations and evanescent waves in periodic magneto-electro curved phononic crystal plates” – S Han, Q Han, T Jiang, C Li, Applied Mathematical Modelling 119, 373-390, 2023 (3 citations)
- 📐 “Design and optimization of the dual-functional lattice-origami metamaterials” – T Jiang, S Han, Q Han, C Li, Composite Structures 327, 117670, 2024 (2 citations)
- ⚡ “Parametric electro-mechanical dispersive behaviors of guided waves in the functionally graded piezoelectric annular plate” – C Li, D Xiao, S Han, Q Han, ZAMM-Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte, 2023 (1 citation)
- 🛠️ “Machine learning-based optimal design of an acoustic black hole metaplate for enhanced bandgap and load-bearing capacity” – S Han, N Ma, Q Han, C Li, Mechanical Systems and Signal Processing 215, 111436, 2024
- 📏 “Compressive response and optimization design of a novel hierarchical re-entrant origami honeycomb metastructure” – N Ma, S Han, W Xu, Q Han, C Li, Engineering Structures 306, 117819, 2024
- 📏 “Design and compressive behaviors of the gradient re-entrant origami honeycomb metamaterials” – N Ma, S Han, Q Han, C Li, Thin-Walled Structures 198, 111652, 2024
- 🔧 “A novel multi-resonator honeycomb metamaterial with enhanced impact mitigation” – H Zheng, S Han, S Li, Q Han, C Li, European Journal of Mechanics-A/Solids, 105272, 2024