In this paper, a parallel physics-informed neural network (PPINN) methodology is developed for the solution of multibody dynamics equations to further reduce ...
Automatic differentiation and parallelization algorithms are applied to the multi-body dynamic equations including mass, damping, and stiffness matrices, as ...
Application of a parallel physics-informed neural network to solve the multi-body dynamic equations for full-scale train collisions · No full-text available.
In this paper, a parallel physics-informed neural network (PPINN) methodology is developed for the solution of multibody dynamics equations to further reduce ...
Application of a parallel physics-informed neural network to solve the multi-body dynamic equations for full-scale train collisions.
Article&Book · [Elsevier] Application of a parallel physics-informed neural network to solve the multi-body dynamic equations for full-scale train collisions.
Mar 4, 2024 · Application of a parallel physics-informed neural network to solve the multi-body dynamic equations for full-scale train collisions. Applied ...
People also ask
What is physics-informed neural network for PDE?
What is physics-informed neural network algorithm?
Application of a parallel physics-informed neural network to solve the multi-body dynamic equations for full-scale train collisions · Author Picture Zhao Tang ...
Application of a parallel physics-informed neural network to solve the multi-body dynamic equations for full-scale train collisions. Article. Apr 2023; APPL ...
Tang, Application of a parallel physics-informed neural network to solve the multi-body dynamic equations for full-scale train collisions, Appl. Soft Comput ...