A Kolmogorov–Arnold Surrogate Model for Chemical Equilibria: Application to Solid Solutions
Abstract The computational cost of geochemical solvers is a challenging matter. For reactive transport simulations, where chemical calculations are performed up to billions of times, it is crucial to reduce the total computational time. Existing publications have explored various machine learning approaches to determine the most effective data‐driven ...
Leonardo Boledi +2 more
wiley +1 more source
Numerical Investigation of a Diffusive SIR Model: Focus on Positivity Preservation
ABSTRACT In this paper, we consider a system of semilinear partial differential equations (PDEs) representing a spatially extended SIR epidemic model. A brief analytical investigation of the well‐posedness and positivity of the solutions is provided in the appendix, while the main focus is on the numerical treatment of the model.
Rahele Mosleh +2 more
wiley +1 more source
ABSTRACT The accurate prediction of displacement and stress fields in pressure vessels is essential for the safe and reliable design of these structures, particularly when dealing with nonlinear behavior such as that of hyperelastic functionally graded materials (FGMs).
Nasser Firouzi +2 more
wiley +1 more source
Physics-Informed Neural Networks with Unknown Partial Differential Equations: An Application in Multivariate Time Series. [PDF]
Mortezanejad SAF +2 more
europepmc +1 more source
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks. [PDF]
Liu Z +5 more
europepmc +1 more source
A neural network-based PDE solving algorithm with high precision. [PDF]
Jiang Z, Jiang J, Yao Q, Yang G.
europepmc +1 more source
Entropy in Exact 2D Navier-Stokes and 3D Burgers Gas Flows. [PDF]
Broadbridge P.
europepmc +1 more source
Analytical insights and physical behavior of solitons in the fractional stochastic Allen-Cahn equations using a novel method. [PDF]
Nazari-Golshan A.
europepmc +1 more source
Partial differential equations in data science. [PDF]
Bertozzi AL +3 more
europepmc +1 more source
Optical neural engine for solving scientific partial differential equations. [PDF]
Tang Y +7 more
europepmc +1 more source

