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Dimensional models #2418
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We currently have a lot of duplicate variables (dimensionless/dimensional). |
Would be good to revive #406 when implementing this to add an additional layer of testing |
I think so, I would just keep those that have actually some sort of physical meaning beyond being the dimensionless form of something (e.g. dimensionless particle concentrations / stoichiometry). |
Some basic profiling reveals that implementing the models in a dimensional way provides no slow-down compared to dimensionless. Since dimensionless models are a big barrier to entry, we should reformat the models to be entirely dimensional. Further benchmarking and testing will be needed.
Note: scaling variables is still a good idea for the condition number of the solver, but this can be done directly in the solver
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