output
20212024
most citedPhysics-informed neural networks for predicting gas flow dynamics and unknown parameters in diesel engines

39 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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2 papers · 1 filter

cs.LG2024★ 10 cited

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…

cs.LG2023★ 39 cited

Physics-informed neural networks for predicting gas flow dynamics and unknown parameters in diesel engines

Kamaljyoti Nath, Xuhui Meng, Daniel J Smith +1

This paper presents a physics-informed neural network (PINN) approach for monitoring the health of diesel engines. The aim is to evaluate the engine dynamics, identify unknown para…