101 citations · 195 across the 14 of their papers we have counts for
14 papers
Revisiting the scale dependence of the Reynolds number in correlated fluctuating fluids
Sijie Huang, Ayush Saurabh, Steve Pressé
For the incompressible Navier--Stokes equation, the Reynolds number () is a dimensionless parameter quantifying the relative importance of inertial over viscous forces…
Spatially Correlated Noise Induces Transitions from the Diffusive to Ballistic Regime in Fluids
Sijie Huang, Ayush Saurabh, Steve Presse
We investigate the fluctuating incompressible Navier--Stokes equation driven by spatially correlated thermal noise characterized by a single length scale. This formulation is const…
A cautious user's guide in applying HMMs to physical systems
Max Schweiger, Ayush Saurabh, Steve Pressé
Nature, as far as we know, evolves continuously through space and time. Yet the ubiquitous hidden Markov model (HMM)--originally developed for discrete time and space analysis in n…
Avoiding subtraction and division of stochastic signals using normalizing flows: NFdeconvolve
Pedro Pessoa, Max Schweiger, Lance W. Q. Xu +4
Across the scientific realm, we find ourselves subtracting or dividing stochastic signals. For instance, consider a stochastic realization, , generated from the addition or mult…
Re-thinking Richardson-Lucy without Iteration Cutoffs: Physically Motivated Bayesian Deconvolution
Zachary H. Hendrix, Peter T. Brown, Tim Flanagan +3
Richardson-Lucy deconvolution is widely used to restore images from degradation caused by the broadening effects of a point spread function and corruption by photon shot noise, in…
Modeling Non-additive Effects in Neighboring Chemically Identical Fluorophores
Ayush Saurabh, Stefan Niekamp, Ioannis Sgouralis +1
Quantitative fluorescence analysis is often used to derive chemical properties, including stoichiometries, of biomolecular complexes. One fundamental underlying assumption in the a…