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Computational methods for hydrodynamics of
curved fluid interfaces. -
GD-VAEs: Geometric Dynamic Variational Autoencoders
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Immersed boundary methods and
fluctuating hydrodynamics. -
Implicit-solvent coarse-grained models
lipid bilayer membrane hydrodynamics. -
Variational autoencoders for
data-driven learning of dynamics. -
Poster session presentations at URCA event.
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Non-equilibrium Statistical Mechanics.
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Stochastic iterative methods for
fluctuating hydrodynamics. -
Open source software package for
fluctuating hydrodynamic simulations. -
David Valdman's graduation.
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Pat Plunkett's graduation reception.
NOTE: The most up-to-date information can be found on the git-hub page. This includes a python interface to the package.
Tutorials
Setting up models and simulations:
- Jupyter Notebook interface and Python (Polymer Example)
- Additional examples on GitHub: mango-selm
- Scripting to setup simulations (FENE-Dimer Example).
Tutorial: How to Setup Models and Simulations using Jupyter Notebooks and Python.
Interactive Session.
Slides: [PDF]
(prior versions)
For additional information see the documentation.