3 papers
cs.CG2026
Denoising 3D images: robustness of persistent homology measures
Ebru Dagdelen, Aakash Karlekar, Manav Arora +4
When computing sub/super-level-set persistent homology (PH), the effect of noise may introduce millions of (short-lived) topological generators, presenting an obstacle to both the…
cond-mat.soft2026
Topological Data Analysis combined with Machine Learning for Predicting Permeability of Porous Media
Ebru Dagdelen, Catherin Neena Lalu, Aakash Karlekar +5
Flow in porous media is difficult to address using standard analytical or numerical methods due to its complexity. However, since synthetic representations of porous media are easy…
physics.flu-dyn2025
Stochastic Modeling of Filtration with Sieving in Graded Pore Networks
Binan Gu, Pejman Sanaei, Lou Kondic +1
We model filtration of a feed solution, containing both small and large foulant particles, by a membrane filter. The membrane interior is modeled as a network of pores, allowing fo…