12 citations · 30 across the 4 of their papers we have counts for
4 papers
Going Deeper with Five-point Stencil Convolutions for Reaction-Diffusion Equations
Yongho Kim, Yongho Choi
Physics-informed neural networks have been widely applied to partial differential equations with great success because the physics-informed loss essentially requires no observation…
Learning finite difference methods for reaction-diffusion type equations with FCNN
Yongho Kim, Yongho Choi
In recent years, Physics-informed neural networks (PINNs) have been widely used to solve partial differential equations alongside numerical methods because PINNs can be trained wit…
Fast Numerical Simulation of Allen-Cahn Equation
Yongho Kim, Yongho Choi
Simulation speed depends on code structures, hence it is crucial how to build a fast algorithm. We solve the Allen-Cahn equation by an explicit finite difference method, so it requ…
Numerical investigation of local defectiveness control of diblock copolymer patterns
D. Jeong, Y. Choi, J. Kim
We numerically investigate local defectiveness control of self-assembled diblock copolymer patterns through appropriate substrate design. We use a nonlocal Cahn-Hilliard (CH) equat…