88 citations · 392 across the 21 of their papers we have counts for
23 papers
Data assimilation of flow MRI data into RANS models with algebraic closures
C. Namuroy, M. P. Juniper, P. Nair +4
We adopt the Bayesian inference framework to solve an inverse Reynolds-Averaged Navier-Stokes (RANS) problem for the approximate posterior probability distribution of the turbulenc…
Adjoint-based optimization of the control boundaries of a microfluidic acoustic flow
Javier Lorente-Macias, Matthew P. Juniper
In this study, we find the optimal control boundary (i.e., actuator velocity) that cancels the acoustic reverberations inside drop-on-demand inkjet printheads at a specific time. W…
Bayesian inference of mean velocity fields and turbulence models from flow MRI
A. Kontogiannis, P. Nair, M. Loecher +3
We solve a Bayesian inverse Reynolds-averaged Navier-Stokes (RANS) problem that assimilates mean flow data by jointly reconstructing the mean flow field and learning its unknown RA…
Bayesian inference of physics-based models of acoustically-forced laminar premixed conical flames
Alessandro Giannotta, Matthew Yoko, Stefania Cherubini +2
We perform twenty experiments on an acoustically-forced laminar premixed Bunsen flame and assimilate high-speed footage of the natural emission into a physics-based model containin…
Bayesian inverse Navier-Stokes problems: joint flow field reconstruction and parameter learning
Alexandros Kontogiannis, Scott V. Elgersma, Andrew J. Sederman +1
We formulate and solve a Bayesian inverse Navier-Stokes (N-S) problem that assimilates velocimetry data in order to jointly reconstruct a 3D flow field and learn the unknown N-S pa…
Rapid Bayesian identification of sparse nonlinear dynamics from scarce and noisy data
Lloyd Fung, Urban Fasel, Matthew P. Juniper
We propose a fast probabilistic framework for identifying differential equations governing the dynamics of observed data. We recast the SINDy method within a Bayesian framework and…