44 citations · 48 across the 7 of their papers we have counts for
3 papers · 1 filter
Forecasting Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Multimodal Bayesian Deep Learning
Ushnish Sengupta, Günther Waxenegger-Wilfing, Jan Martin +2
The 100 MW cryogenic liquid oxygen/hydrogen multi-injector combustor BKD operated by the DLR Institute of Space Propulsion is a research platform that allows the study of thermoaco…
Simultaneous boundary shape estimation and velocity field de-noising in Magnetic Resonance Velocimetry using Physics-informed Neural Networks
Ushnish Sengupta, Alexandros Kontogiannis, Matthew P. Juniper
Magnetic resonance velocimetry (MRV) is a non-invasive experimental technique widely used in medicine and engineering to measure the velocity field of a fluid. These measurements a…
Online parameter inference for the simulation of a Bunsen flame using heteroscedastic Bayesian neural network ensembles
Maximilian L. Croci, Ushnish Sengupta, Matthew P. Juniper
This paper proposes a Bayesian data-driven machine learning method for the online inference of the parameters of a G-equation model of a ducted, premixed flame. Heteroscedastic Bay…