[QE-users] Optimization does not converge
Gui Wei
201707021019 at cqu.edu.cn
Thu Apr 4 04:34:06 CEST 2019
Dear QE users,
I am trying to optimize a single-layer graphene connected to a hydroxyl group.After 48 scf cycles,the optimization result has never reached the convergence value,the force of some atoms is always greater than the convergence threshold.But when I connect an epoxy group instead of a hydroxyl group on the graphene sheet, the optimization can reach convergence after 24 scf cycles.Does anyone know the reason for this?
Any suggestions would be greatly appreciated.
Thank you.
&control
calculation = 'relax',
prefix='QJ1GO',
pseudo_dir = '/public/home/duan1/GuiWei/pseudo/',
outdir='/public/home/duan1/GuiWei/tempdir/'
tstress = .true.
tprnfor = .true.
etot_conv_thr=1.0D-4
forc_conv_thr=1.0D-3
/
&system
ibrav= 0,
nat=66,
ntyp=3,
occupations='smearing',
smearing='mp',
degauss=0.02,
ecutwfc =40.0
ecutrho =320.0
vdw_corr='DFT-D'
london_s6 = 0.75
/
&electrons
conv_thr = 1.0d-8
mixing_beta = 0.2
mixing_mode = 'local-TF'
mixing_ndim=16
electron_maxstep=200
/
&IONS
ion_dynamics='bfgs'
/
CELL_PARAMETERS angstrom
19.680000000000003 0.000000000000010 0.000000000000000
0.000000000000000 8.521689973238882 0.000000000000000
0.000000000000000 0.000000000000000 25.000000000000000
ATOMIC_SPECIES
C 12.0107 C.pbe-rrkjus.UPF
O 16.00 O.pbe-rrkjus.UPF
H 1.00 H.pbe-rrkjus.UPF
ATOMIC_POSITIONS crystal
C 0.0000000000000000 0.0000000000000000 0.2164000000000000
C 0.1250000000000000 -0.0000000000000000 0.2164000000000000
C 0.0625000000000000 0.2499999999999999 0.2164000000000000
C 0.0000000000000000 0.4999999999999999 0.2164000000000000
C 0.2500000000000000 -0.0000000000000002 0.2164000000000000
C 0.1875000000000000 0.2499999999999999 0.2164000000000000
C 0.1250000000000000 0.4999999999999998 0.2164000000000000
C 0.0624999999999998 0.7499999999999989 0.2164000000000000
C 0.3750000000000000 -0.0000000000000002 0.2164000000000000
C 0.3125000000000000 0.2500000000000000 0.2164000000000000
C 0.2500000000000000 0.4999999999999999 0.2164000000000000
C 0.1875000000000000 0.7499999999999989 0.2164000000000000
C 0.5000000000000000 -0.0000000000000002 0.2164000000000000
C 0.4375000000000000 0.2500000000000000 0.2164000000000000
C 0.3750000000000000 0.4999999999999999 0.2164000000000000
C 0.3125000000000000 0.7499999999999988 0.2164000000000000
C 0.6250000000000000 -0.0000000000000004 0.2164000000000000
C 0.5625000000000000 0.2500000000000000 0.2164000000000000
C 0.5000000000000000 0.4999999999999999 0.2164000000000000
C 0.4375000000000000 0.7499999999999988 0.2164000000000000
C 0.7500000000000000 -0.0000000000000004 0.2164000000000000
C 0.6875000000000000 0.2499999999999999 0.2164000000000000
C 0.6250000000000000 0.4999999999999999 0.2164000000000000
C 0.5625000000000000 0.7499999999999988 0.2164000000000000
C 0.8750000000000000 -0.0000000000000004 0.2164000000000000
C 0.8125000000000000 0.2499999999999990 0.2164000000000000
C 0.7500000000000000 0.4999999999999999 0.2164000000000000
C 0.6875000000000000 0.7499999999999989 0.2164000000000000
C 0.9375000000000000 0.2499999999999990 0.2164000000000000
C 0.8750000000000000 0.5000000000000000 0.2164000000000000
C 0.8125000000000000 0.7499999999999988 0.2164000000000000
C 0.9375000000000000 0.7499999999999988 0.2164000000000000
C 0.0624999725702591 0.0833332967603452 0.2164000000000000
C -0.0000000274297411 0.3333332967603450 0.2164000000000000
C 0.1874999725702590 0.0833332967603452 0.2164000000000000
C 0.1249999725702590 0.3333332967603450 0.2164000000000000
C 0.0624999725702589 0.5833332967603438 0.2164000000000000
C -0.0000000274297409 0.8333332967603447 0.2164000000000000
C 0.3124999725702590 0.0833332967603452 0.2164000000000000
C 0.2499999725702590 0.3333332967603450 0.2164000000000000
C 0.1874999725702590 0.5833332967603448 0.2164000000000000
C 0.1249999725702590 0.8333332967603447 0.2164000000000000
C 0.4374999725702590 0.0833332967603452 0.2164000000000000
C 0.3749999725702590 0.3333332967603450 0.2164000000000000
C 0.3124999725702590 0.5833332967603448 0.2164000000000000
C 0.2499999725702590 0.8333332967603447 0.2164000000000000
C 0.5624999725702590 0.0833332967603451 0.2164000000000000
C 0.4999999725702591 0.3333332967603449 0.2164000000000000
C 0.4374999725702590 0.5833332967603438 0.2164000000000000
C 0.3749999725702590 0.8333332967603447 0.2164000000000000
C 0.6874999725702590 0.0833332967603451 0.2164000000000000
C 0.6249999725702590 0.3333332967603450 0.2164000000000000
C 0.5624999725702590 0.5833332967603447 0.2164000000000000
C 0.4999999725702591 0.8333332967603448 0.2164000000000000
C 0.8124999725702590 0.0833332967603451 0.2164000000000000
C 0.7499999725702590 0.3333332967603450 0.2164000000000000
C 0.6874999725702600 0.5833332967603440 0.2164000000000000
C 0.6249999725702590 0.8333332967603438 0.2164000000000000
C 0.9374999725702590 0.0833332967603450 0.2164000000000000
C 0.8749999725702590 0.3333332967603450 0.2164000000000000
C 0.8124999725702600 0.5833332967603438 0.2164000000000000
C 0.7499999725702590 0.8333332967603438 0.2164000000000000
C 0.9374999725702590 0.5833332967603438 0.2164000000000000
C 0.8749999725702601 0.8333332967603448 0.2164000000000000
O 0.5008325506691220 0.4975899051684459 0.2743438844378600
H 0.4505865611121930 0.4983293698599460 0.2875531708238770
K_POINTS automatic
2 2 1 0 0 0
Wei gui
School of Mechanical Engineering,Chongqing University, China
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