It combines poincare's composable models and backend support with tools like simulation of time resolved emission and sweeps for spectra on different excitiation intensities and wavlenghts.
See the full announcemnt on github for more information:
https://t.co/h2doQwtcFK
With @GreccoHernan and @DiNapoli_Tomas we've been working on a python library for photochemical systems simulations which finally released! Jablonski exends poincare with easy binidings for defining energy levels and transitions, and has a suite of analysis tools on top.
The next thing we're working on is Jablonski, a new library for simulationg photochemical systems.
For more information see the full announcemnt on github:
https://t.co/Q0u1vCR2uY
or go directly to the dyscolab page:
https://t.co/WUD4hADojb
A month ago we released version 1.0 of Poincare and SimBio, python libraries for simulating dynamical systems and chemical reactions. We now released version 1.1 with:
- Reports with a system's equations and variables in Latex.
- Stochastic simulation with Gillespie's algorithm.
They provide a layer to separate model declaration and simulation, making model construction easier and allowing different simulation backends, and provide analysis tools for tasks such as parameter sweeps.
To learn more read the announcement on github:
https://t.co/fhhwVWhyFp
Poincare and simbio 1.0.0 have released! We've been working with @GreccoHernan, @maurosilber and @DiNapoli_Tomas
to create poincare, a python library for dynamical systems simualtion, and simbio, which adds bindings for chemical reactions.