I am running Monte Carlo simulations of polymers with nearest neighbor interactions only. For benchmarking purposes, I decided to run some excluded volume simulations (no overlaps) allowed on a 3D simple cubic lattice (coordination number of 6).

These are the moves I implemented: enter image description here

The problem I am seeing is that the end-to-end autocorrelation function for my single polymer is not dying down to zero. The reason I call this a problem because I am getting incorrect Flory Exponents: $$\langle R_g^2\rangle \propto N^{2\nu}, \tag{1}$$ where I am getting $\nu = 0.8$, which is too high.

I am running 10^7 steps with Rosenbluth sampling.

E.g. If there are N possible kink jump spots, I will test each spot until there is a vacancy available. Same applies for the end rotations.

What could be the cause of this? Is it simply that my moves are too local? How do I decorrelate my system faster, as N increases?

  • $\begingroup$ Just to clarify, how close is the autocorrelation function getting to zero? What (roughly) are you expecting the Flory exponents to be? $\endgroup$
    – Tyberius
    Feb 1, 2022 at 17:56
  • $\begingroup$ From renormalization group theory, I expect $\nu$ to be 0.33 in bad solvent, and 0.6 in a solvent with only excluded volume interactions -- and higher if solvent quality increases further. But when I run simulations at a T=0.5, my scaling exponent hits 0.37 for bad solvent. $\endgroup$
    – megamence
    Feb 1, 2022 at 20:06
  • $\begingroup$ As for the exact value of the auto-correlation function, it either stays very non-zero (0.2-0.4), or oscillates more wildly than expected $\endgroup$
    – megamence
    Feb 1, 2022 at 20:09
  • $\begingroup$ Did you figure this out now? Please update us! $\endgroup$ Sep 6, 2022 at 20:03

1 Answer 1


The problem with this moveset is that it is too local. The best way to decorrelate polymer configurations is to run simulations with more aggressive moves, such as chain regrowth.


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