Latest Articles for Differential Equations

This article discusses challenges in calculating three-loop form factors in particle physics.

Researchers present a faster way to solve complex differential equations using random walks.

An overview of how deep learning methods tackle differential equations.

New methods improve computations for differential equations involving Lie groups in quantum dynamics.

Innovative method combines machine learning and physics for solving differential equations.

Explore the links between shapes, transformations, and algebraic structures in mathematics.

A look into the dynamics of differential equations and equilibrium points.

Learn how homogenisation aids in understanding complex materials and systems effectively.

A new approach to understanding behavior in complicated systems using deformed statistics.

A deep dive into how wavefunctions shape our understanding of the universe.

RandNet-Parareal speeds up solving time-dependent equations efficiently.

Discover how adversarial autoencoders enhance machine learning models with limited data.

Discover how stability shapes mathematical systems and real-world phenomena.

jinns enhances physics-informed neural networks for diverse real-world applications.