GitHub

Finite basis physics-informed neural networks (FBPINNs)

This repository allows you to solve forward and inverse problems related to partial differential equations (PDEs) using finite basis physics-informed neural networks (FBPINNs). To improve the ...
Scientific Research Publishing

Solar Energy Driven Convective Transport Model in the Troposphere ()

Vertical, convective, thermal energy transport is examined outside the box of microscale turbulent dispersion or unstable air ...
University of Oslo

MAT4305 – Partial Differential Equations and Sobolev Spaces

The course provides an introduction to the theoretical basis for linear partial differential equations, focusing on elliptic equations and eigenvalue problems. The techniques and methods developed are ...
University of Oslo

MAT4720 – Stochastic Analysis and Stochastic Differential Equations

The course gives a thorough basis for understanding stochastic dynamics and models. We will in particular study Brownian motion and martingales, Ito’s stochastic calculus, stochastic integration and ...
GitHub

Paper List of Physics-Informed Neural Network (PINN)

"Neural Networks Meet Physics: A Survey of Physics-Informed Approaches to Modeling and Simulation." Nasir, Karthika, Rahul Menon, and Sneha Iyer. (2025). [Paper] Torres, Edgar, and Mathias Niepert.