Area of research
Statistical and Nonlinear Physics · Computational Mechanics
Research interest
Research interests include Partial differential equation, Artificial neural network, Computer science, Nonlinear system, Activation function, and Applied mathematics.
Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology
A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositions
When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization?
Adaptive activation functions accelerate convergence in deep and physics-informed neural networks