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Short description of portfolio item number 1
Short description of portfolio item number 2
Published in Nano Letters, 2018
Molecular dynamics simulation of dislocations in metallic nanocubes
Recommended citation: Kiani, Mehrdad T., Yifan Wang, Nicolas Bertin, Wei Cai, and X. Wendy Gu. "Strengthening mechanism of a single precipitate in a metallic nanocube." Nano letters 19, no. 1 (2018): 255-260. (link)
Published in Journal of the Mechanics and Physics of Solids, 2019
Spherical harmonics solver for linear elasticity problems with spherical interface
Recommended citation: Wang, Yifan, Xiaohan Zhang, and Wei Cai. "Spherical harmonics method for computing the image stress due to a spherical void." Journal of the Mechanics and Physics of Solids 126 (2019): 151-167. (link)
Published in Nature Communications, 2020
Reference-free method for microparticle traction force microscopy for mechanical interaction in phagocytosis
Recommended citation: Vorselen, Daan, Yifan Wang, Miguel M. de Jesus, Pavak K. Shah, Matthew J. Footer, Morgan Huse, Wei Cai, and Julie A. Theriot. "Microparticle traction force microscopy reveals subcellular force exertion patterns in immune cell–target interactions." Nature communications 11, no. 1 (2020): 1-14. (link)
Published in Journal of the Mechanics and Physics of Solids, 2020
Analytical formula for enery barrier of dislocation cross-slip in FCC metals
Recommended citation: Kuykendall, William P., Yifan Wang, and Wei Cai. "Stress effects on the energy barrier and mechanisms of cross-slip in FCC nickel." Journal of the Mechanics and Physics of Solids 144 (2020): 104105. (link)
Published in Proceedings of the National Academy of Sciences, 2023
Entropy effect of thermally activated processes in solids
Recommended citation: Yifan Wang, and Wei Cai. "Stress-dependent activation entropy in thermally activated cross-slip of dislocations." Proceedings of the National Academy of Sciences 120 (2023): e2222039120. (link)
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2022 Materials Research Socienty Spring Meeting & Exhibition
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The 10th International Conference on Multiscale Materials Modeling
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2023 Materials Research Socienty Spring Meeting & Exhibition
Teaching Assistant, Stanford University, Department of Mechanical Engineering, 2018
Introduction to the theories of elasticity, plasticity and fracture and their applications. Elasticity: Definition of stress, strain, and elastic energy; equilibrium and compatibility conditions; and formulation of boundary value problems. Stress function approach to solve 2D elasticity problems and Greenâs function approach in 3D. Applications to contact and crack. Plasticity: Yield surface, associative flow rule, strain hardening models, crystal plasticity models. Applications to plastic bending, torsion and pressure vessels. Fracture: Linear elastic fracture mechanics, J-integral, Dugdale-Barrenblatt crack model. Applications to brittle fracture and fatigue crack growth. Computer programming in Matlab is used to aid analytic derivation and numerical solutions.
Teaching Assistant, Stanford University, Department of Mechanical Engineering, 2019
To develop a basic quantitative understanding of the behavior of point, line and planar defects in crystalline solids. Particular attention is focused on those defects that control the thermodynamic, structural and mechanical properties of crystalline materials.
Teaching Assistant, Stanford University, Department of Mechanical Engineering, 2021
The main purpose of this course is to provide students with enough statistical mechanics background to the Molecular Simulations classes (ME 346B,C), including the fundamental concepts such as ensemble, entropy, and free energy, etc. The main theme of this course is how the laws at the macroscale (thermodynamics) can be obtained by analyzing the spontaneous fluctuations at the microscale (dynamics of molecules). Topics include thermodynamics, probability theory, information entropy, statistical ensembles, phase transition and phase equilibrium. Recommended: PHYSICS 110 or equivalent.
Teaching Assistant, Stanford University, Department of Mechanical Engineering, 2021
Algorithms of molecular simulations and underlying theories. Molecular dynamics, time integrators, modeling thermodynamic ensembles (NPT, NVT). Monte Carlo simulations. Applications in solids, liquids, polymers, phase transitions, and combination with machine learning tools. Examples provided in easy-to-use Python Notebooks. Final projects.