Search Results for author:
Found 2 papers, 0 papers with code
A novel data generation scheme for surrogate modelling with deep operator networks
In general, towards operator surrogate modeling, the training data is generated by solving the PDEs using techniques such as Finite Element Method (FEM).
A novel framework for generalization of deep hidden physics models
Modelling of systems where the full system information is unknown is an oft encountered problem for various engineering and industrial applications, as it's either impossible to consider all the complex physics involved or simpler models are considered to keep within the limits of the available resources.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
