Yifan Wang

Yifan Wang

Postdoctoral Fellow in the Department of Materials Science and Engineering, Stanford University

Posts by Collection

portfolio

publications

Strengthening Mechanism of a Single Precipitate in a Metallic Nanocube

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)

Spherical Harmonics Method for Computing the Image Stress Due to a Spherical Void

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)

Microparticle traction force microscopy reveals subcellular force exertion patterns in immune cell–target interactions

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)

Stress effects on the energy barrier and mechanisms of cross-slip in FCC nickel

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)

talks

teaching

ME340: Mechanics - Elasticity and Inelasticity

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 Green’s 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.

ME209: Imperfections in Crystalline Solids

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.

ME346A: Introduction to Statistical Mechanics

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.

ME346B: Introduction to Molecular Simulations

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.