3 papers
cs.LG2024
Learning Hidden Physics and System Parameters with Deep Operator Networks
Dibakar Roy Sarkar, Vijay Kag, Birupaksha Pal +1
Discovering hidden physical laws and identifying governing system parameters from sparse observations are central challenges in computational science and engineering. Existing data…
cs.LG2024
A novel data generation scheme for surrogate modelling with deep operator networks
Shivam Choubey, Birupaksha Pal, Manish Agrawal
Operator-based neural network architectures such as DeepONets have emerged as a promising tool for the surrogate modeling of physical systems. In general, towards operator surrogat…
cs.LG2024
A novel framework for generalization of deep hidden physics models
Vijay Kag, Birupaksha Pal
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 co…