activity
20202023
most citedEarly Detection of Thermoacoustic Instabilities in a Cryogenic Rocket Thrust Chamber using Combustion Noise Features and Machine Learning

44 citations · 48 across the 7 of their papers we have counts for

collaborators

8 papers

cs.LG2023

Score Normalization for a Faster Diffusion Exponential Integrator Sampler

Guoxuan Xia, Duolikun Danier, Ayan Das +4

Recently, Zhang et al. have proposed the Diffusion Exponential Integrator Sampler (DEIS) for fast generation of samples from Diffusion Models. It leverages the semi-linear nature o…

cs.AI2023

Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling

Ushnish Sengupta, Chinkuo Jao, Alberto Bernacchia +2

Channel modelling is essential to designing modern wireless communication systems. The increasing complexity of channel modelling and the cost of collecting high-quality wireless c…

physics.flu-dyn2021

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…

physics.flu-dyn2021

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…

cs.LG2021★ 1 cited

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…

eess.SP2020★ 44 cited

Early Detection of Thermoacoustic Instabilities in a Cryogenic Rocket Thrust Chamber using Combustion Noise Features and Machine Learning

Günther Waxenegger-Wilfing, Ushnish Sengupta, Jan Martin +4

Combustion instabilities are particularly problematic for rocket thrust chambers because of their high energy release rates and their operation close to the structural limits. In t…