Science Daily

THOR AI solves a 100-year-old physics problem in seconds

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...
IEEE

Solving Stochastic Differential and Integral Equations Using Neural Network Method

Abstract: Artificial intelligence and nearly all its subfields include machine learning and deep learning in operations with the closings being a vital aspect across disciplines including solving ...
Frontiers

Implementing physics-informed neural networks with deep learning for differential equations

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...
IEEE

Learning Power System Dynamics with Noisy Data Using Neural Ordinary Differential Equations

Abstract: The ability to learn complex system dynamics is crucial to enhancing the reliability and stability of power systems. In this paper, we develop a novel neural ordinary differential equation ...
GitHub

2D Lid Driven Cavity Flow

This repo provides a MATLAB example code for the lid-driven cavity flow where incompressible Navier Stokes equation is numerically solved using a simple 2nd order finite difference scheme on a ...