Physics-informed neural networks (PINNs) offer a novel and efficient app...
Many real-world dynamical systems are associated with first integrals (a...
We propose a theoretical framework for investigating a modeling error ca...
We derived a condition under which a coupled system consisting of two
fi...
Definite integrals with parameters of holonomic functions satisfy holono...
In Hamiltonian mechanics and the Landau theory, many physical phenomena ...
A neural network model of a differential equation, namely neural ODE, ha...
In this study, we propose a method for extracting the hidden algebraic
s...
In this paper, a method for automatically deriving energy-preserving
num...