Hanfeng Zhai
PhD Candidate @ Stanford University

I'm Han, a Mechanical Engineering PhD Candidate in Mechanics and Computation at Stanford University. My doctoral research focuses on understanding how material defects and microstructures govern macroscopic mechanical properties using computational approaches, such as metal strain hardening and homogenization of digital rocks. I did Research Interns at Mitsubishi Electric Research Labs, and Tokyo Electron. Previously, I got my MS in Mechanical Engineering from Cornell University and BS in Theoretical and Applied Mechanics from Shanghai University. I'm from Beijing.

I am interested in solving problems in mechanics of materials from atomistic to continuum scales. My research interests are combining computational mechanics, materials theory, scientific machine learning, and inverse optimization for structural and materials modeling and design, with potential impact on energy, biotechnology, and advanced manufacturing.

I TA'd Mechanics -- Elasticity & Inelasticity (ME340); see problem session notes and a final review. Previously, I TA'd Finite Element Analysis; here are some Problem Session notes and a short intro that might help.




Akhondzadeh$^1$, Zhai$^1$, Jian, Sills, Bertin, Cai$^\star$. Link Statistics of Dislocation Network during Strain Hardening. Journal of the Mechanics and Physics of Solids (2026). [PDF] [Cite] [Video] [Poster]
$\texttt{TL;DR}$: Over 100 DDD simulations reveal that inactive slip systems follow single-exponential link length distributions, while active ones evolve into stress-driven double exponentials—explained by a generalized Poisson process.



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