[gmx-developers] energies from previous step used for hamiltonian replica exchange evaluation?

Floris Buelens floris_buelens at yahoo.com
Tue Jun 10 15:50:01 CEST 2014


Right - all the required quantities come from a single call of do_force before update. But the way I see it (please do correct me), as soon as update() is executed, all the calculated energy quantities are those from the previous set of coordinates, and no longer valid as the basis for a monte carlo move for the new state of the system.






On Tuesday, 10 June 2014, 15:37, Berk Hess <hess at kth.se> wrote:
Hi,

Gromacs doesn't do Hamiltonian replica exchange by re-calculating 
potentials, does it?
All potentials and lambda dependencies are calculated using the 
coordinates before update, so I don't think there is any issue at all.

Cheers,

Berk




On 06/10/2014 02:56 PM, Floris Buelens wrote:
> Hi,
>
> While trying to evaluate Hamiltonian replica exchange probabilities 'offline', e.g. not at runtime but from checkpoint files, I think I might have run into an inconsistency in how they're evaluated in Gromacs. My worry is that exchange probabilities are calculated at the very end of the MD step loop, after update() has been called. This would mean that the exchange criterion is evaluated using energies from step x, but coordinates from step x+1.
>
> If I've got this right, the strictly correct way would be to evaluate replica exchanges before update() is called, and then to recalculate the energies and forces where the replica exchange attempt was successful (since they were calculated according to a different U(x) and are strictly no longer valid) - and only then to call update(). Or equivalently to implement hybrid MC/MD, where x MD steps are followed by a single MC step, where the exchange move is either accepted or rejected based on a fresh energy evaluation.
>
> Am I missing something?
>
> I had a look at replica exchange probabilities between successive steps and predictably the correlation is very high, but some of the deviations are not so small (some sample data pasted in below).
>
> thanks,
>
> Floris
>
>
>   p(n)  p(n+1)
> 0.0080  0.0102
> 1.0000  1.0000
> 0.0137  0.0142
> 0.7724  0.6141
> 0.0418  0.0619
> 0.0731  0.0859
> 0.2771  0.2374
> 0.0092  0.0130
> 0.3064  0.2375
> 0.0804  0.0770
> 0.0349  0.0325
> 1.0000  1.0000
> 0.0506  0.0718
> 0.1385  0.2349
> 0.0003  0.0004
> 0.9125  0.8968
> 0.0000  0.0000
> 0.7520  0.7820
> 0.0116  0.0124
> 1.0000  0.8525
> 0.2255  0.2747
> 0.0112  0.0130
> 0.0241  0.0230
> 1.0000  1.0000
> 0.0015  0.0010
> 0.0018  0.0027
> 0.1365  0.2044
> 1.0000  1.0000
> 0.0104  0.0062
> 0.0238  0.0420
> 0.4723  0.5447


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