36 citations · 78 across the 6 of their papers we have counts for
6 papers
Power spectral density of trajectories of active Ornstein-Uhlenbeck particles
Yeongjin Kim, Gleb Oshanin, Jae-Hyung Jeon
The power spectral density (PSD) is a central frequency-domain descriptor of stochastic processes. While PSDs have been studied for Brownian motion and a few anomalous diffusion pr…
Active Diffusion of Self-Propelled Particles in Semi-Flexible Polymer Networks
Yeongjin Kim, Won Kyu Kim, Jae-Hyung Jeon
Mesh-like structures, such as mucus gel or cytoskeleton networks, are ubiquitous in biological systems. These intricate structures are composed of cross-linked, semi-flexible bio-f…
Active diffusion of self-propelled particles in flexible polymer networks
Yeongjin Kim, Sungmin Joo, Won Kyu Kim +1
Biopolymer networks having a meshwork topology, e.g., extracellular matrix and mucus gels, are ubiquitous. It is an open question to understand how self-propelled agents such as Ja…
Bayesian inference of scaled versus fractional Brownian motion
Samudrajit Thapa, Seongyu Park, Yeongjin Kim +3
We present a Bayesian inference scheme for scaled Brownian motion, and investigate its performance on synthetic data for parameter estimation and model selection in a combined infe…
Bayesian inference of Lévy walks via hidden Markov models
Seongyu Park, Samudrajit Thapa, Yeongjin Kim +2
The Lévy walk is a non-Brownian random walk model that has been found to describe anomalous dynamic phenomena in diverse fields ranging from biology over quantum physics to ecology…
Objective comparison of methods to decode anomalous diffusion
Gorka Muñoz-Gil, Giovanni Volpe, Miguel Angel Garcia-March +31
Deviations from Brownian motion leading to anomalous diffusion are found in transport dynamics from quantum physics to life sciences. The characterization of anomalous diffusion fr…