Geometry optimization with AMOEBA force field

The functionality of OpenMM will (eventually) include everything that one would need to run modern molecular simulation.
POST REPLY
User avatar
Pushp Bajaj
Posts: 3
Joined: Mon Feb 22, 2016 6:19 pm

Geometry optimization with AMOEBA force field

Post by Pushp Bajaj » Mon Feb 22, 2016 6:57 pm

Hello,

I was recently using OpenMM to do a energy minimization with AMOEBA for a simple H2O-Cl- dimer system. I printed out the energy and the forces for the optimized geometry and I got non-zero forces on the atoms in the optimized geometry. I used the following commands to perform the optimization and to get the energy and forces:

"simulation.minimizeEnergy(tolerance=0.0001, maxIterations=2000)"
or
"mm.openmm.LocalEnergyMinimizer.minimize(simulation.context, 0.0001)"

state=simulation.context.getState(getEnergy=True,getForces=True,getPositions=True)
energy=state.getPotentialEnergy()
forces=state.getForces()

I also did an optimization of the same system with AMOEBA using TINKER. To compare with OpenMM I used the optimized geometry from TINKER and calculated the energy and forces with OpenMM; I got the energies to be the same to the order of 10^-2 but there were large forces on the atoms. Does anyone know what might be causing these differences and why there are non-zero forces on the atoms in the optimized structure?

Thanks a lot!

User avatar
Jason Swails
Posts: 47
Joined: Mon Jan 07, 2013 5:11 pm

Re: Geometry optimization with AMOEBA force field

Post by Jason Swails » Mon Feb 22, 2016 7:45 pm

Because you are not at a true local minimum. Note that it is very difficult to get to a true local minimum (where the force on every atom is zero). The minimization criteria for OpenMM is (I believe) satisfied when the difference in energy between successive steps is less than the tolerance. Forces are a lot more sensitive than energies.

The OpenMM energy minimized is intended for use in preparing for MD. Maybe try another minimizer (like one from scipy based on second derivatives) to get closer to the true local minimum.

User avatar
Pushp Bajaj
Posts: 3
Joined: Mon Feb 22, 2016 6:19 pm

Re: Geometry optimization with AMOEBA force field

Post by Pushp Bajaj » Mon Feb 22, 2016 8:53 pm

Thank you for your reply!
Yes, I was to able get a more strict optimization done with TINKER where the rms of the final gradients is of the order of 10^-5. I thought it was just strange that after using the TINKER optimized geometry in OpenMM I still got large forces on the atoms.

User avatar
Peter Eastman
Posts: 2593
Joined: Thu Aug 09, 2007 1:25 pm

Re: Geometry optimization with AMOEBA force field

Post by Peter Eastman » Tue Feb 23, 2016 10:18 am

When you say "large forces", how large do you mean? The OpenMM minimizer should be able to get the forces very small. It just depends on the tolerance and maximum number of iterations. You may also need to specify double precision, since there's a limit to how precisely it can minimize in single precision.

User avatar
Pushp Bajaj
Posts: 3
Joined: Mon Feb 22, 2016 6:19 pm

Re: Geometry optimization with AMOEBA force field

Post by Pushp Bajaj » Tue Feb 23, 2016 10:37 am

Using the optimized geometry from TINKER in OpenMM I got forces of the order of 10^2 kJ/mol/nm. After optimizing with OpenMM the final geometry had forces of the order of 10 kJ/mol/nm.
If I'm not mistaken the tolerance is for the rms of the gradients, I played around with that changing it from 10^-3 to 10^-8 and the results did not change.

User avatar
Peter Eastman
Posts: 2593
Joined: Thu Aug 09, 2007 1:25 pm

Re: Geometry optimization with AMOEBA force field

Post by Peter Eastman » Tue Feb 23, 2016 11:08 am

Is that in single or double precision? If single, try switching to double. It should be able to minimize it a lot further than that.

POST REPLY