3 papers
cs.AI2026
A Physics-Informed Neural Network Framework for Elastodynamic Wave Propagation in Bimaterial Systems
Sonal Ankush Chibire, Jenn-Terng Gau, Bo Zhang
Physics-informed neural networks (PINNs) provide a promising framework for solving partial differential equations while embedding the underlying physical laws directly into the lea…
cs.NE2024
Discovering Physics-Informed Neural Networks Model for Solving Partial Differential Equations through Evolutionary Computation
Bo Zhang, Chao Yang
In recent years, the researches about solving partial differential equations (PDEs) based on artificial neural network have attracted considerable attention. In these researches, t…
math.OC2023
AONN-2: An adjoint-oriented neural network method for PDE-constrained shape optimization
Xili Wang, Pengfei Yin, Bo Zhang +1
Shape optimization has been playing an important role in a large variety of engineering applications. Existing shape optimization methods are generally mesh-dependent and therefore…