collaborators

6 papers

q-bio.QM2019

Bayesian uncertainty quantification for micro-swimmers with fully resolved hydrodynamics

Karen Larson, Sarah Olson, Anastasios Matzavinos

Due to the computational complexity of micro-swimmer models with fully resolved hydrodynamics, parameter estimation has been prohibitively expensive. Here, we describe a Bayesian u…

math.NA2019

Computational framework to capture the spatiotemporal density of cells with a cumulative environmental coupling

Michael A. Yereniuk, Sarah D. Olson

Stochastic agent-based models can account for millions of cells with spatiotemporal movement that can be a function of different factors. However, these simulations can be computat…

q-bio.TO2018

A hybrid cellular automaton model of cartilage regeneration capturing the interactions between cellular dynamics and scaffold porosity

Simone Cassani, Sarah D. Olson

To accelerate the development of strategies for cartilage tissue engineering, models are necessary to study the interactions between cellular dynamics and scaffold (SC) porosity. I…

math.DS2018

Global Density Analysis for an Off-Lattice Agent-Based Model

Michael A. Yereniuk, Sarah D. Olson

Agent-based (AB) or Cellular Automata (CA) models are rule based and are a relatively simple discrete method that can be used to simulate complex interactions of many agents or cel…

physics.flu-dyn2018

A 3-dimensional model of flagellar swimming in a Brinkman fluid

Nguyenho Ho, Karin Leiderman, Sarah Olson

We investigate 3-dimensional flagellar swimming in a fluid with a sparse network of stationary obstacles or fibers. The Brinkman equation is used to model the average fluid flow wh…

math.NA2018

Emergent three-dimensional sperm motility: Coupling calcium dynamics and preferred curvature in a Kirchhoff rod model

Lucia Carichino, Sarah D. Olson

Changes in calcium concentration along the sperm flagellum regulate sperm motility and hyperactivation, characterized by an increased flagellar bend amplitude and beat asymmetry, e…