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new method to compute T from C
Zimmerman et al. JCTC 2018, eq. 8
Compute transition probability matrix by a adding a pseudocount to count matrix and normalize it. This method avoids creating sources or sinks, so it turns out to be adequate for adaptive sampling calculations.
The new method to estimate T is helpful when doing adaptive sampling calculations.
TICA is not finished, but it already has the necessary tools implemented.
Maybe worth finding out whether the reference to Zimmerman, 2018 is the most relevant one? Check, e.g. eq. 55 in Prinz et al, JCP, 2011