[gpaw-users] Benzene optimization 'Did not converge'
qian li
qian.li at chem.ku.dk
Fri Dec 7 15:04:21 CET 2012
Dear Sir or Madam,
I am the new user of GPAW.
When I optimize the benzene with h=0.20, it is converged. But when I change
h from 0.2 to 0.18, it can't be converged even though I use basis dzp for
optimization.
Does h have some special sensitivity to the box? Should some other
parameters be added in the file to make it converged?
Thank you very much for your warmhearted help!
This is the input file.
from ase import *
from gpaw import *
from gpaw.transport.tools import sort_atoms
from ase.io import read,write
from ase.visualize import view
from ase.lattice.surface import *
from ase.optimize import QuasiNewton
from ase.data.molecules import molecule
import numpy as np
atoms = read('benzene_gas.xyz')
atoms.set_cell([20,20,22]) # Set unit-cell (cubic 10x10x10≈)
atoms.center() # Center atoms in unit-cell
# Define GPAW calculator
vdw = 'vdW-DF'
calc = GPAW(xc=vdw,# XC functional
h=0.18,
basis='dzp',
txt="optimize_gas.txt") # Output text file
atoms.set_calculator(calc) # Attach calculator to atoms
relax = QuasiNewton(atoms, # Attach minimizer to atoms
trajectory='optimize_gas.traj', # Trajectory file
logfile='qn.log') # Optimizer output
relax.run(fmax=0.05) # Run optimization, max force 0.05 eV/≈
calc.write("optimize_gas.gpw") # Write GPAW output (density, etc...)
This is the error:
GPAW CLEANUP (node 5): gpaw.KohnShamConvergenceError occurred. Calling
MPI_Abort!
File "benze.py", line 27, in ?
relax.run(fmax=0.05) # Run optimization, max force 0.05
eV/≈
File "/kemi/strange/ase/ase/optimize/optimize.py", line 114, in run
f = self.atoms.get_forces()
File "/kemi/strange/ase/ase/atoms.py", line 650, in get_forces
forces = self._calc.get_forces(self)
File "/users/kemi/strange/gpaw/gpaw/aseinterface.py", line 69, in
get_forces
force_call_to_set_positions=force_call_to_set_positions)
File "/users/kemi/strange/gpaw/gpaw/paw.py", line 283, in calculate
raise KohnShamConvergenceError('Did not converge!')
gpaw.KohnShamConvergenceError: Did not converge!
Best regards
Qian Li
university of copenhagen
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