On Monday, 27 January 2014 04:47:22 UTC+1, Christoph Junghans wrote:
>
> (...)
> >> The theory behind Boltzmann inversion assumes a Boltzmann distribution 
> >> (NVT). 
> >> Which thermostat are you using? For Espresso++ Langevin thermostat 
> >> should to the same as stochastic dynamics. 
> > 
> > 
> > Actually I have moved to Gromacs to not complicate too much. When I look 
> on 
> > the 
> > temperature, it is kept correctly during the simulation (with sd 
> > integrator). 
> > 
> > The strange thing is with rdfs. In the attachment there is a tgt and 
> .new 
> > A-A.dist 
> > from step_001. The shapes seem similar but the y-values are different. 
> In 
> > the next 
> > steps the rdfs look totally different (and the .conv value rise 
> enormous). 
> 1.) Your target distribution is really noisy, which will lead to a 
> very noisy initial potential, maybe a bigger spacing would help. 
> 2.) It seems the first update makes the A-A potential too attractive, 
> hence you get the really high peak at x=0.42, maybe you will need to 
> scale the update with a factor like 0.1 (postupd scale).


I am very appreciate for your help. The scale factor helped to remove this 
huge difference.  I am wondering why I encountered that. Is it possible 
that 
it is because of bond interaction? I have defined the exclusion list for 
.top so
this should be handled and the behavior does not changed. 

Best regards,
Jakub Krajniak

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