activity
20232026
most citedWhy is the strength of an elastomeric polymer network so low?

2 citations · 4 across the 8 of their papers we have counts for

collaborators

9 papers

math.PR2026

Quenched First-Passage Asymptotics for Branching Random Walk on a Hamming Cube

Jose Blanchet, Zhenyuan Zhang

We study continuous-time supercritical branching random walks in space-inhomogeneous random environment on the Hamming cube , where the reproduction laws at ea…

math.PR2026

Viral Quasispecies Evolution as a Branching Random Walk on the Hypercube

Jose Blanchet, Zhenyuan Zhang

We study a continuous-time nearest-neighbor branching random walk on the -dimensional -ary hypercube as a model for viral quasispecies evolution under m…

math.PR2025

Large Deviations of First Passage Times of Branching Random Walks in : Asymptotics and Algorithms

Jose Blanchet, Wei Cai, Shaswat Mohanty +1

We investigate the large deviation probabilities of first passage times (FPT) of discrete-time supercritical non-lattice branching random walks (BRWs) in where $d\ge…

cond-mat.soft2025★ 2 cited

Why is the strength of an elastomeric polymer network so low?

Shaswat Mohanty, Jose Blanchet, Zhigang Suo +1

Experiments have long shown that a polymer network of covalent bonds commonly ruptures at a stress that is orders of magnitude lower than the strength of the covalent bonds. Here w…

math.PR2024

Tightness Analysis of First Passage Times of -Dimensional Branching Random Walk

Jose Blanchet, Zhenyuan Zhang

Given a discrete-time non-lattice supercritical branching random walk in , we investigate its first passage time to a shifted unit ball of a distance from the ori…

math.PR2024

On the First Passage Times of Branching Random Walks in

Jose Blanchet, Wei Cai, Shaswat Mohanty +1

We study the first passage times of discrete-time branching random walks in where . Here, the genealogy of the particles follows a supercritical Galton-Wat…

cs.LG2024★ 1 cited

Accelerated Sampling of Rare Events using a Neural Network Bias Potential

Xinru Hua, Rasool Ahmad, Jose Blanchet +1

In the field of computational physics and material science, the efficient sampling of rare events occurring at atomic scale is crucial. It aids in understanding mechanisms behind a…

math.PR2024★ 1 cited

Empirical martingale projections via the adapted Wasserstein distance

Jose Blanchet, Johannes Wiesel, Erica Zhang +1

Given a collection of multidimensional pairs , we study the problem of projecting the associated suitably smoothed empirical measure onto the space of…

math-ph2023

Modeling Shortest Paths in Polymeric Networks using Spatial Branching Processes

Zhenyuan Zhang, Shaswat Mohanty, Jose Blanchet +1

Recent studies have established a connection between the macroscopic mechanical response of polymeric materials and the statistics of the shortest path (SP) length between distant…