Hi Carlijn,
sorry for the late answer.
We suspect that you just run into a feedback-coupling of your
model. As you mentioned the Autocrine Chemotaxis example: The
movement and aggregation of the cells in that model is bound to
the chemotactic behaviour of the cells. The faster the attractant
moves, the faster the gradient can establish and cells can respond
via aggregation. So that's key of the model.
In addition, faster diffusion will take longer to simulate, as the
forward-euler diffusion solver we currently employ has a time step
limit depending on the diffusion rate.
If you still feel there is something odd, please don't hesitate to contact us again, maybe even including an example.
Best, Jörn
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-- -------------- Jörn Starruß Tel +49 351 463 38554 APB 1026 Technische Universität Dresden Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH) Abteilung Innovative Methoden des Computing
Hi Calijn,
Thanks to your example I could confirm the issue. We solved it along with a couple of other improvements.
Please find an updated release 2.2.3 at https://morpheus.gitlab.io
Best,
Joern
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