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

1. Hao, Tengyuan, Adrian Piel, and Zubaer Hossain. "Variable stiffness boundary condition to determine effective toughness of heterogeneous materials." Computer Methods in Applied Mechanics and Engineering 448 (2026): 118414. (pdf doi portfolio)

2. 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 portfolio)

3. 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 portfolio)

4. Hao, Tengyuan. "Anisotropy Effects on Crack Path and Effective Toughness in Heterogeneous Materials." Doctoral dissertation. University of Delaware, 2024. (pdf doi)

5. 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 portfolio)

6. 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)

7. 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 portfolio)

8. 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)

9. 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 portfolio)

10. 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 portfolio)

11. Hao, Tengyuan, and Zubaer M. Hossain. "Stress-localization induced toughening in CNT–silica nanocomposites." Journal of Applied Physics 127, no. 15 (2020). (pdf doi portfolio)

12. 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)

13. 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 portfolio)

14. 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)

15. 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)

16. Hao, Tengyuan. "Effective mechanical properties in carbon nanotube-silica nanocomposite." Master's Theses, University of Delaware, 2018. (pdf doi)

Manuscript under review

1. Tengyuan Hao, Gleb Gil Goviazin, Daniel Rittel, Daniel Olsen, and Min Zhou. "New ignition mechanism of polymer-based reactive materials." Physical Review Letters. under review.

2. Tengyuan Hao and Zubaer Hossain. "Physics-based Machine Learning Prediction of Crack Path in Porous Media." Computer Methods in Applied Mechanics and Engineering. under review.

Manuscript under preparation

1. Hao, Tengyuan, and Zubaer Hossain. "Atomistic deflection-penetration criteria at slanted interface."

2. Hao, Tengyuan, and Zubaer Hossain. "Strain-effects on magnetism in multidefect graphene."