Fast Numerical Approximation of Parabolic Problems Using Model Order Reduction and the Laplace Transform
F Henríquez, JS Hesthaven - arXiv preprint arXiv:2403.02847, 2024 - arxiv.org
We introduce a novel, fast method for the numerical approximation of parabolic partial
differential equations (PDEs for short) based on model order reduction techniques and the …
differential equations (PDEs for short) based on model order reduction techniques and the …
Aerodynamics and sensing analysis for efficient drone-based parcel delivery
In an era of rapid urbanization and e-commerce growth, efficient parcel delivery methods are
crucial. This paper presents a detailed study of the aerodynamics and sensing analysis of …
crucial. This paper presents a detailed study of the aerodynamics and sensing analysis of …
A study on flame reconstruction in a supersonic combustor using deep learning
W Xu, C Liang, H Qiu, J Zhang, W Bao - Physics of Fluids, 2025 - pubs.aip.org
This study investigates the application of a low-order reconstruction method for image
reconstruction of a scramjet combustor. In the encoding network, reconstruction performance …
reconstruction of a scramjet combustor. In the encoding network, reconstruction performance …