86 citations · 101 across the 9 of their papers we have counts for
9 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…
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…
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…
Revisiting Claims in "Black Hole Entropy: A Closer Look"
Pedro Pessoa, Bruno Arderucio Costa, Steve Pressé
Here we explain how C. Tsallis' reply (Entropy 2021, 23(5), 630) fails to respond to points raised in (Entropy 2020, 22(10), 1110) and introduces further inconsistencies on the ori…
Inferring effective forces for Langevin dynamics using Gaussian processes
J Shepard Bryan, Ioannis Sgouralis, Steve Pressé
Effective forces -- derived from experimental or {\it in silico} molecular dynamics time traces -- are critical in developing reduced and computationally efficient descriptions of…
Information propagation in time through allosteric signaling
Tushar Modi, S. Banu Ozkan, Steve Pressé
Naively, one expects the information communicated by an enzyme downstream within a signaling network, in which the enzyme is embedded, to grow monotonically with the enzyme's rate…