24 citations · 75 across the 17 of their papers we have counts for
18 papers
Energetic variational formulation for electrohydrodynamics of surfactant-laden droplets
Hangjie Ji, Jian-Guo Liu
The coupling between surfactant-laden droplet dynamics and electric fields plays an important role in liquid-handling technologies such as digital microfluidics. We develop an ener…
A positivity-preserving numerical method for a thin liquid film on a vertical cylindrical fiber
Bohyun Kim, Hangjie Ji, Andrea L. Bertozzi +2
When a thin liquid film flows down on a vertical fiber, one can observe the complex and captivating interfacial dynamics of an unsteady flow. Such dynamics are applicable in variou…
An electro-hydrodynamics modeling of droplet actuation on solid surface by surfactant-mediated electro-dewetting
Weiqi Chu, Hangjie Ji, Qining Wang +2
We propose an electro-hydrodynamics model to describe the dynamic evolution of a slender drop containing a dilute ionic surfactant on a naturally wettable surface, with a varying e…
Coarsening of thin films with weak condensation
Hangjie Ji, Thomas P. Witelski
A lubrication model can be used to describe the dynamics of a weakly volatile viscous fluid layer on a hydrophobic substrate. Thin layers of the fluid are unstable to perturbations…
A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation
Zhenyu Yang, Zongsheng Hu, Hangjie Ji +4
Purpose: To develop a neural ordinary differential equation (ODE) model for visualizing deep neural network (DNN) behavior during multi-parametric MRI (mp-MRI) based glioma segment…
Heavy Ball Neural Ordinary Differential Equations
Hedi Xia, Vai Suliafu, Hangjie Ji +4
We propose heavy ball neural ordinary differential equations (HBNODEs), leveraging the continuous limit of the classical momentum accelerated gradient descent, to improve neural OD…