Embedded Files
Microrheology and transport of microparticles in viscoelastic media
"MUnCH: a calculator for propagating statistical and other sources of error in passive microrheology". Two versions are provided a Mathematica notebook and a Python script. Download here or in the Wolfram Notebook archive.
Code for performing generalized Brownian dynamics (GBD) simulations of a microparticle embedded in a viscoelastic fluid and calculating and propagating statistical and other sources of error in passive microrheology using PyMUnCH. Download in GitHub.
Associated publications:
A. Córdoba and J. D. Schieber, “MUnCH: a calculator for propagating statistical and other sources of error in passive microrheology,” Rheologica Acta, vol. 61, pp. 49–57, 2022.
A. Córdoba, T. Indei, and J. D. Schieber, “Elimination of inertia from a generalized Langevin equation: Applications to microbead rheology modeling and data analysis,” Journal of Rheology, vol. 56, no. 1, pp. 185–212, 2012.
Single chain mean-field model of active gels
Single chain mean-field model of active gels
wxMaxima notebook that calculates the fraction of buckled filaments, the relaxation modulus and the dynamic modulus of an active gel using the dumbbell version (with Dirac delta distributed motor forces) of the athermal single chain model of active gels. Download here.
wxMaxima notebook that calculates the relaxation modulus and dynamic modulus of an active gel using the dumbbell version (with Dirac delta distributed motor forces) of the single chain model of active gels with Brownian forces. Download here.
Associated publications:
A. Córdoba, “The effects of the interplay between motor and brownian forces on the rheology of active gels,” The Journal of Physical Chemistry B, vol. 122, no. 15, pp. 4267–4277, 2018.
A. Córdoba, J. Schieber, and T. Indei, “A single-chain model for active gels I: Active dumbbell model,” RSC Advances, vol. 4, no. 34, pp. 17935–17949, 2014.
wxMaxima is a free computer algebra software (CAS) and can be downloaded here.
pyDSM: Fast Quantitative Rheology Predictions of Entangled Polymers
pyDSM: Fast Quantitative Rheology Predictions of Entangled Polymers
A user-friendly Python version of the code for performing simulations with the discrete slip link model of entangled polymer melts. It can be downloaded in GitHub here. The associated publication is:
J. G. Ethier, A. Córdoba, and J. D. Schieber, “pyDSM: GPU-accelerated rheology predictions for entangled polymers in python,” Computer Physics Communications, vol. 290, p. 108786, 2023.
Solver of the Rolie-Double-Poly (RDP) rheological model
Solver of the Rolie-Double-Poly (RDP) rheological model
These Mathematica scripts solve the Rolie-Double-Poly (RDP) model [Boudara et. al., J. Rheol. 63 (1), 71-91] and calculate the entropy generation rate using the method of Schieber and Córdoba [Phys. Fluids 33 (8)]. They can be downloaded in GitHub here. The associated publication is:
S. M. Arzideh, A. Córdoba, J. G. Ethier, J. D. Schieber, and D. C. Venerus, “Equibiaxial elongation of entangled polyisobutylene melts: Experiments and theoretical predictions,” Journal of Rheology, vol. 68, no. 3, pp. 341–353, 2024.
Contact
Contact
andcorduri@gmail.com
Google Sites
Report abuse