Publications

Convergence Analysis and Implementation of Physics-Informed Neural Networks for Partial Differential Equations with Domain Decomposition Methods
Currently working on a research article investigating the theoretical convergence properties and practical implementation of Physics-Informed Neural Networks (PINNs) for solving specific types of partial differential equations. The research combines domain decomposition methods with PINNs to enhance computational efficiency and solution accuracy.
Work in Progress