AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)

Dimension reduced surrogate construction for parametric PDE maps

Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition. Available on doi.org/10.1016/j.cma.2021.114181.

One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-order model methods.

Framework to learn effective dynamics and couple a macro scale simulator with a fast neural network latent propagator.

Non-intrusive reduced-order modeling with geometry-informed snapshots. Current based registration is applied to compute the diffeomorphism between snapshots.

PySHRED: Package for Shallow Recurrent Decoding

Code TMA4900 Industrial Mathematics, Master’s Thesis

Supplemental Material for "BUQEYE Guide to Projection-Based Emulators in Nuclear Physics"

Parallel-in-time integration of Neural ODEs with reduced basis approximation

Code for building a reduced-order model for the linear elasticity equation on a square in 2D for my specialization Project at NTNU.

Complete implementation of Lift & Learn methodology for FitzHugh-Nagumo system with comprehensive visualizations and noise robustness analysis

Optimal control for transport-dominated systems with sPOD