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Tengyuan Hao is a dedicated researcher who earned a Doctor of Philosophy in Mechanical Engineering from the University of Delaware in 2024. His academic journey includes a Master of Science in Mechanical Engineering in 2018 and a Bachelor of Mechanical Engineering in 2014, both from the University of Delaware. He is now a postdoctoral researcher at the Georgia Institute of Technology.
Tengyuan Hao's research interests encompass diverse areas within the realm of solid mechanics and fracture in composites. His focus extends to the physics governing crack nucleation and the subsequent formation of crack paths in brittle composites. Additionally, he is deeply engaged in exploring the effective toughness of heterogeneous materials. Through his academic pursuits, Tengyuan aims to contribute valuable insights into these intricate aspects of material behavior, thereby advancing our understanding of fracture mechanics and the mechanical properties of heterogeneous materials.
Tengyuan employs a multidisciplinary approach, integrating density functional theory (DFT), molecular dynamics (MD), and finite element (FE) simulations to gain insights into fracture mechanisms and effective properties of heterogeneous, amorphous, and low-dimensional materials. In addition, Tengyuan has applied machine learning techniques, including Transformer, Recurrent Neural Networks (RNNs), and ConvLSTM2D, for predicting fractures in complex composite materials. His proficiency extends to GPU computing using CUDA for machine learning applications.
Tengyuan's research contributions are evident in his numerous publications in reputable journals, covering topics such as the effective modulus of curvilinear fiber-reinforced composites, atomistic mechanisms of crack nucleation and propagation in amorphous silica, strain-induced reconstructions in graphene, and the strength and toughness of various nanomaterials.
In addition to his academic pursuits, Tengyuan has gained valuable work experience in the industry, particularly in project engineering. His work at Fuyao Glass America involved leading a team in overseeing major production line installation and upgrading projects, emphasizing a hands-on approach to managing projects exceeding $10 million USD in investment.
With a strong background in both academic research and industry applications, Tengyuan Hao is well-equipped to contribute to advancements in materials science and engineering. His commitment to understanding and improving the mechanical properties of materials demonstrates his dedication to making meaningful contributions to the field.
Publication
Publication
Ragan, Tyler*, Tengyuan Hao*, Daniel Olsen, and Min Zhou. "Microscale Model for Intergranular and Transgranular Damage and Fracture in Polycrystalline Ceramics." Mechanics of Materials (2025): 105363. (pdf doi)
Hao, Tengyuan, and Zubaer M. Hossain. "Anisotropy effects on crack path formation at atomistic-continuum scales." Journal of Applied Physics 136, no. 24 (2024). (pdf doi)
Hao, Tengyuan. "Anisotropy Effects on Crack Path and Effective Toughness in Heterogeneous Materials." Doctoral dissertation. University of Delaware, 2024. (pdf doi)
Hao, Tengyuan, Javid Mustafa, Garrett Gray, and Zubaer Hossain. "Effective modulus of 3D-printable curvilinear fiber reinforced composites." Composite Structures 330 (2024): 117811. (pdf doi)
Andreasen, Claire*, Tengyuan Hao*, Julia Hatoum, and Zubaer M. Hossain. "Strain induced second-order Jahn–Teller reconstruction and magnetic moment modulation at monovacancy in graphene." Journal of Applied Physics 130, no. 3 (2021). (pdf doi)
Hao, Tengyuan, Zhaocheng Zhang, Tousif Ahmed, Justin Xu, Shane Brown, and Zubaer M. Hossain. "Line-defect orientation-and length-dependent strength and toughness in hBN." Journal of Applied Physics 129, no. 1 (2021). (pdf doi)
Xu, Justin, Tengyuan Hao, and Zubaer M. Hossain. "Electronic structure basis of strength and toughness in fluoropolymers." Journal of Applied Physics 128, no. 15 (2020). (pdf doi)
Hao, Tengyuan, Justin Xu, and Zubaer M. Hossain. "Structure-dependent strength and toughness in dodecahedral silica nanocage." Journal of Applied Physics 128, no. 6 (2020). (pdf doi)
Hao, Tengyuan, Tousif Ahmed, Rownak Jahan Mou, Justin Xu, Shane Brown, and Zubaer M. Hossain. "Critical inter-defect distance that modulates strength and toughness in defective 2D sp2-lattice." Journal of Applied Physics 127, no. 20 (2020). (pdf doi)
Hao, Tengyuan, and Zubaer M. Hossain. "Stress-localization induced toughening in CNT–silica nanocomposites." Journal of Applied Physics 127, no. 15 (2020). (pdf doi)
Ma, Ling*, Tengyuan Hao*, and Zubaer M. Hossain. "Size-dependent toughness and strength in defective 3C-SiC nanowires." Journal of Applied Physics 126, no. 16 (2019). (pdf doi)
Hao, Tengyuan, and Zubaer M. Hossain. "Atomistic mechanisms of crack nucleation and propagation in amorphous silica." Physical Review B 100, no. 1 (2019): 014204. (pdf doi)
Ahmed, Tousif, Allison Procak, Tengyuan Hao, and Zubaer M. Hossain. "Strong anisotropy in strength and toughness in defective hexagonal boron nitride." Physical Review B 99, no. 13 (2019): 134105. (pdf doi)
Hossain, M. Z., T. Hao, and B. Silverman. "Stillinger–Weber potential for elastic and fracture properties in graphene and carbon nanotubes." Journal of Physics: Condensed Matter 30, no. 5 (2018): 055901. (pdf doi)
Hao, Tengyuan. "Effective mechanical properties in carbon nanotube-silica nanocomposite." Master's Theses, University of Delaware, 2018. (pdf doi)
Manuscript under review
Manuscript under review
Manuscript under preparation
Manuscript under preparation
Hao, Tengyuan, and Zubaer Hossain. "Atomistic deflection-penetration criteria at slanted interface."
Hao, Tengyuan, and Zubaer Hossain. "Variable stiffness boundary condition to measure effective toughness in heterogeneous media."
Hao, Tengyuan, and Zubaer Hossain. "Utilizing machine learning to predict crack paths in porous media."
Hao, Tengyuan, and Zubaer Hossain. "Strain-effects on magnetism in multidefect graphene."
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