5 papers
AMORE: Adaptive Multi-Output Operator Network for Stiff Chemical Kinetics
Kamaljyoti Nath, Additi Pandey, Bryan T. Susi +2
Time integration of stiff systems is a primary source of computational cost in combustion, hypersonics, and other reactive transport systems. This stiffness can introduce time scal…
A Neural Operator Emulator for Coastal and Riverine Shallow Water Dynamics
Peter Rivera-Casillas, Sourav Dutta, Shukai Cai +7
Coastal regions and river floodplains are particularly vulnerable to the impacts of extreme weather events. Accurate real-time forecasting of hydrodynamic processes in these areas…
A Digital Twin for Diesel Engines: Operator-infused Physics-Informed Neural Networks with Transfer Learning for Engine Health Monitoring
Kamaljyoti Nath, Varun Kumar, Daniel J. Smith +1
Improving diesel engine efficiency, reducing emissions, and enabling robust health monitoring have been critical research topics in engine modelling. While recent advancements in t…
Leveraging Deep Operator Networks (DeepONet) for Acoustic Full Waveform Inversion (FWI)
Kamaljyoti Nath, Khemraj Shukla, Victor C. Tsai +6
Full Waveform Inversion (FWI) is an important geophysical technique considered in subsurface property prediction. It solves the inverse problem of predicting high-resolution Earth…
Learning characteristic parameters and dynamics of centrifugal pumps under multiphase flow using physics-informed neural networks
Felipe de Castro Teixeira Carvalho, Kamaljyoti Nath, Alberto Luiz Serpa +1
Electrical submersible pumps (ESPs) are prevalently utilized as artificial lift systems in the oil and gas industry. These pumps frequently encounter multiphase flows comprising a…