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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Showing 2023Show all

2 papers · 1 filter

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…

eess.SP2023★ 16 cited

Real-Time Prediction of Gas Flow Dynamics in Diesel Engines using a Deep Neural Operator Framework

Varun Kumar, Somdatta Goswami, Daniel J. Smith +1

We develop a data-driven deep neural operator framework to approximate multiple output states for a diesel engine and generate real-time predictions with reasonable accuracy. As em…