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...BAND_FIT/Step_3.pso_method/1.PSO/1.NPARTICLE_50/python_module/COST_HISTORY.mypso.P100.dat
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Example/Graphene/BAND_FIT/Step_3.pso_method/1.PSO/1.NPARTICLE_50/python_module/INCAR-TB
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# Non-linear least squares minimiation method and its input variables | ||
# TITLE G | ||
TBFIT T # | ||
LSTYPE PSO # Particle swarm optimization | ||
MITER 100 # maximum number of iteration for the fitting procedures | ||
PSO_NP 50 # number of particles (parameters) used in PSO | ||
PSO_OPT 0.3 0.4 0.2 # c1, c2, w defines cognitive, social, and inertia factor in PSO velocity update | ||
PTOL 1E-7 # convergence criteria for SK parameters to be fitted | ||
FTOL 1E-7 # convergence criteria for band structure for each fitting iterations | ||
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EFILE DFT_BAND.dat # target band structure to be fitted to (EDFT). Must be provided if TBFIT=.TRUE. | ||
GFILE POSCAR-TB # name of GEOMETRY & TB-parameter files. default: POSCAR-TB | ||
KFILE KPOINTS_BAND # default: KPOINTS_BAND | ||
PFILE PARAM_FIT.dat # initial sk-parameter will be read from this file | ||
POFILE PARAM_FIT.new.dat # fitted sk-parameter will be written here | ||
PRTDIFF .TRUE. | ||
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LOCCHG .TRUE. # set local charge neutrality. if collinear or NM: m_tot | ||
TYPMAG noncoll # set type of magnetic moment: nonmagnetic, collinear, noncollinear | ||
LSORB .TRUE. # set spin orbit interaction with 1st-order perturbation theory | ||
#LORBIT .TRUE. rh dat #orbital decomposed output (write absolute value of wavefunction coefficient to band_structure file) | ||
# LTOTEN .TRUE. | ||
#NELECT 4 | ||
# set weight and constraint for fitting : valid only if TBFIT .TRUE. | ||
SET WEIGHT # possible index: ALL, NKP=nkpoint, NEIG, IBAND, FBAND | ||
KRANGE : TBABND 1:16 DFTBND 1:16 WEIGHT 10 | ||
KRANGE : TBABND 1:10 DFTBND 1:10 WEIGHT 50 | ||
KRANGE : TBABND 7:10 DFTBND 7:10 WEIGHT 90 | ||
# KRANGE K-10:K+10 TBABND 1:10 DFTBND 1:10 WEIGHT 100 | ||
# KRANGE K-10:K+10 TBABND 7:10 DFTBND 7:10 WEIGHT 200 | ||
# KRANGE : TBABND 1:2 DFTBND 1:2 WEIGHT 500 | ||
END WEIGHT # PRINT_ONLY # following PRINT_ONLY tag make program to write target data and stops | ||
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SET CONSTRAINT TBPARAM | ||
e_px_C = e_pz_C # e_px_C is same as e_pz_C # currently it applies only to the onsite parameters | ||
e_py_C = e_pz_C # e_py_C is same as e_pz_C | ||
END CONSTRAINT TBPARAM | ||
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SET NN_CLASS # if R0 is not provided (sigle value is provided), R0=NN-dist and Max R0 will be R0*1.1 | ||
C-C : 1.5 R0 1.4145 # cutoff dist for 1st nearest neighbor between C-C bond (Rcut=1.5, R0= 1.4145) | ||
END NN_CLASS |
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.../Graphene/BAND_FIT/Step_3.pso_method/1.PSO/1.NPARTICLE_50/python_module/PARAM_FIT.new.dat
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# PARAM_FIT.new.dat | ||
# E_TARGET FILE NAME : DFT_BAND.dat | ||
# KRANGE : TBABND 1:16 DFTBND 1:16 WEIGHT 10 | ||
# KRANGE : TBABND 1:10 DFTBND 1:10 WEIGHT 50 | ||
# KRANGE : TBABND 7:10 DFTBND 7:10 WEIGHT 90 | ||
PRINT_INDEX .FALSE. | ||
USE_OVERLAP .FALSE. | ||
IS_SK .TRUE. | ||
SK_SCALE_MODE 1 | ||
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e_s_C -0.99551807 | ||
e_px_C -0.43507366 | ||
e_py_C -0.43507366 | ||
e_pz_C -0.43507366 | ||
sss_1_CC -4.22211347 | ||
sps_1_CC 4.91182192 | ||
pps_1_CC 3.72727549 | ||
ppp_1_CC -2.22174363 | ||
sss_2_CC 0.22000000 Fixed | ||
sps_2_CC 1.22000000 Fixed | ||
pps_2_CC 0.00000000 Fixed | ||
ppp_2_CC 0.00000000 Fixed | ||
o_sss_1_CC 0.10000000 Fixed | ||
o_sps_1_CC 0.10000000 Fixed | ||
o_pps_1_CC 0.10000000 Fixed | ||
o_ppp_1_CC 0.10000000 Fixed | ||
o_sss_2_CC 0.10000000 Fixed | ||
o_sps_2_CC 0.10000000 Fixed | ||
o_pps_2_CC 0.10000000 Fixed | ||
o_ppp_2_CC 0.10000000 Fixed | ||
stoner_I_p_C 2.13131125 |
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...hene/BAND_FIT/Step_3.pso_method/1.PSO/1.NPARTICLE_50/python_module/PARAM_FIT.new.dat_temp
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# PARAM_FIT.new.dat_temp | ||
# E_TARGET FILE NAME : DFT_BAND.dat | ||
PRINT_INDEX .FALSE. | ||
USE_OVERLAP .FALSE. | ||
IS_SK .TRUE. | ||
SK_SCALE_MODE 1 | ||
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e_s_C -3.65397318 | ||
e_px_C 0.26838760 | ||
e_py_C 0.26838760 | ||
e_pz_C 0.26838760 | ||
sss_1_CC 5.22624889 | ||
sps_1_CC 4.96808543 | ||
pps_1_CC -1.78857161 | ||
ppp_1_CC 3.44085865 | ||
sss_2_CC 0.22000000 Fixed | ||
sps_2_CC 1.22000000 Fixed | ||
pps_2_CC 0.00000000 Fixed | ||
ppp_2_CC 0.00000000 Fixed | ||
o_sss_1_CC 0.10000000 Fixed | ||
o_sps_1_CC 0.10000000 Fixed | ||
o_pps_1_CC 0.10000000 Fixed | ||
o_ppp_1_CC 0.10000000 Fixed | ||
o_sss_2_CC 0.10000000 Fixed | ||
o_sps_2_CC 0.10000000 Fixed | ||
o_pps_2_CC 0.10000000 Fixed | ||
o_ppp_2_CC 0.10000000 Fixed | ||
stoner_I_p_C 0.00000000 |
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...ene/BAND_FIT/Step_3.pso_method/1.PSO/1.NPARTICLE_50/python_module/PARAM_FIT.new.lmdif.dat
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# PARAM_FIT.new.lmdif.dat | ||
# FITTED PARAMETERS FROM TBFITPY_MOD | ||
PRINT_INDEX .FALSE. | ||
USE_OVERLAP .FALSE. | ||
IS_SK .TRUE. | ||
SK_SCALE_MODE 1 | ||
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e_s_C -3.65397318 | ||
e_px_C 0.26838760 | ||
e_py_C 0.26838760 | ||
e_pz_C 0.26838760 | ||
sss_1_CC 5.22624889 | ||
sps_1_CC 4.96808543 | ||
pps_1_CC -1.78857161 | ||
ppp_1_CC 3.44085865 | ||
sss_2_CC 0.22000000 Fixed | ||
sps_2_CC 1.22000000 Fixed | ||
pps_2_CC 0.00000000 Fixed | ||
ppp_2_CC 0.00000000 Fixed | ||
o_sss_1_CC 0.10000000 Fixed | ||
o_sps_1_CC 0.10000000 Fixed | ||
o_pps_1_CC 0.10000000 Fixed | ||
o_ppp_1_CC 0.10000000 Fixed | ||
o_sss_2_CC 0.10000000 Fixed | ||
o_sps_2_CC 0.10000000 Fixed | ||
o_pps_2_CC 0.10000000 Fixed | ||
o_ppp_2_CC 0.10000000 Fixed | ||
stoner_I_p_C 0.00000000 |
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...AND_FIT/Step_3.pso_method/1.PSO/1.NPARTICLE_50/python_module/PARAM_FIT.new.mypso.P100.dat
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# PARAM_FIT.new.mypso.P100.dat | ||
# FITTED PARAMETERS FROM TBFITPY_MOD | ||
PRINT_INDEX .FALSE. | ||
USE_OVERLAP .FALSE. | ||
IS_SK .TRUE. | ||
SK_SCALE_MODE 1 | ||
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e_s_C 0.04251197 | ||
e_px_C 0.01695832 | ||
e_py_C 0.01695832 | ||
e_pz_C 0.01695832 | ||
sss_1_CC 2.93674026 | ||
sps_1_CC 5.10140264 | ||
pps_1_CC -1.84781121 | ||
ppp_1_CC 4.30655213 | ||
sss_2_CC 0.22000000 Fixed | ||
sps_2_CC 1.22000000 Fixed | ||
pps_2_CC 0.00000000 Fixed | ||
ppp_2_CC 0.00000000 Fixed | ||
o_sss_1_CC 0.10000000 Fixed | ||
o_sps_1_CC 0.10000000 Fixed | ||
o_pps_1_CC 0.10000000 Fixed | ||
o_ppp_1_CC 0.10000000 Fixed | ||
o_sss_2_CC 0.10000000 Fixed | ||
o_sps_2_CC 0.10000000 Fixed | ||
o_pps_2_CC 0.10000000 Fixed | ||
o_ppp_2_CC 0.10000000 Fixed | ||
stoner_I_p_C 2.15735541 |
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...BAND_FIT/Step_3.pso_method/1.PSO/1.NPARTICLE_50/python_module/PARAM_FIT.new.mypso.P50.dat
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# PARAM_FIT.new.mypso.P50.dat | ||
# FITTED PARAMETERS FROM TBFITPY_MOD | ||
PRINT_INDEX .FALSE. | ||
USE_OVERLAP .FALSE. | ||
IS_SK .TRUE. | ||
SK_SCALE_MODE 1 | ||
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e_s_C -0.99471103 | ||
e_px_C -0.46013074 | ||
e_py_C -0.46013074 | ||
e_pz_C -0.46013074 | ||
sss_1_CC -4.22402253 | ||
sps_1_CC 4.91356695 | ||
pps_1_CC 3.72842339 | ||
ppp_1_CC -2.24404349 | ||
sss_2_CC 0.22000000 Fixed | ||
sps_2_CC 1.22000000 Fixed | ||
pps_2_CC 0.00000000 Fixed | ||
ppp_2_CC 0.00000000 Fixed | ||
o_sss_1_CC 0.10000000 Fixed | ||
o_sps_1_CC 0.10000000 Fixed | ||
o_pps_1_CC 0.10000000 Fixed | ||
o_ppp_1_CC 0.10000000 Fixed | ||
o_sss_2_CC 0.10000000 Fixed | ||
o_sps_2_CC 0.10000000 Fixed | ||
o_pps_2_CC 0.10000000 Fixed | ||
o_ppp_2_CC 0.10000000 Fixed | ||
stoner_I_p_C 2.12744832 |
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Example/Graphene/BAND_FIT/Step_3.pso_method/1.PSO/1.NPARTICLE_50/python_module/fort.17
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ITER= 1, rt(sum((dE*WT)^2)) = 14092.572887, rt(sum(dE^2)) = 324.675387 | ||
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ITER= 2, rt(sum((dE*WT)^2)) = 14092.119506, rt(sum(dE^2)) = 324.666241 | ||
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ITER= 3, rt(sum((dE*WT)^2)) = 14091.247384, rt(sum(dE^2)) = 324.649325 | ||
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ITER= 4, rt(sum((dE*WT)^2)) = 14089.555676, rt(sum(dE^2)) = 324.616266 | ||
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ITER= 5, rt(sum((dE*WT)^2)) = 14086.785849, rt(sum(dE^2)) = 324.557723 | ||
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ITER= 6, rt(sum((dE*WT)^2)) = 14081.247690, rt(sum(dE^2)) = 324.437398 | ||
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ITER= 7, rt(sum((dE*WT)^2)) = 14070.067012, rt(sum(dE^2)) = 324.198417 | ||
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ITER= 8, rt(sum((dE*WT)^2)) = 14047.842911, rt(sum(dE^2)) = 323.722558 | ||
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ITER= 9, rt(sum((dE*WT)^2)) = 14003.819401, rt(sum(dE^2)) = 322.777316 | ||
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ITER= 10, rt(sum((dE*WT)^2)) = 13916.654931, rt(sum(dE^2)) = 320.869346 | ||
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ITER= 11, rt(sum((dE*WT)^2)) = 13742.958099, rt(sum(dE^2)) = 317.134397 | ||
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ITER= 12, rt(sum((dE*WT)^2)) = 13407.921797, rt(sum(dE^2)) = 309.939031 | ||
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ITER= 13, rt(sum((dE*WT)^2)) = 12784.232187, rt(sum(dE^2)) = 296.467230 | ||
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ITER= 14, rt(sum((dE*WT)^2)) = 11582.409474, rt(sum(dE^2)) = 269.731834 | ||
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ITER= 15, rt(sum((dE*WT)^2)) = 9266.874653, rt(sum(dE^2)) = 218.882726 | ||
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ITER= 16, rt(sum((dE*WT)^2)) = 5272.430515, rt(sum(dE^2)) = 128.632708 | ||
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ITER= 17, rt(sum((dE*WT)^2)) = 2960.603011, rt(sum(dE^2)) = 89.089234 | ||
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ITER= 18, rt(sum((dE*WT)^2)) = 2492.758746, rt(sum(dE^2)) = 85.490622 | ||
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ITER= 19, rt(sum((dE*WT)^2)) = 2459.210080, rt(sum(dE^2)) = 90.493828 | ||
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ITER= 20, rt(sum((dE*WT)^2)) = 2458.621899, rt(sum(dE^2)) = 89.141528 | ||
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ITER= 21, rt(sum((dE*WT)^2)) = 2458.534783, rt(sum(dE^2)) = 89.902713 | ||
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ITER= 22, rt(sum((dE*WT)^2)) = 2458.514004, rt(sum(dE^2)) = 89.535322 | ||
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ITER= 23, rt(sum((dE*WT)^2)) = 2458.508923, rt(sum(dE^2)) = 89.719576 | ||
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||
ITER= 24, rt(sum((dE*WT)^2)) = 2458.507661, rt(sum(dE^2)) = 89.628003 | ||
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||
ITER= 25, rt(sum((dE*WT)^2)) = 2458.507349, rt(sum(dE^2)) = 89.673594 | ||
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||
ITER= 26, rt(sum((dE*WT)^2)) = 2458.507272, rt(sum(dE^2)) = 89.650891 | ||
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||
ITER= 27, rt(sum((dE*WT)^2)) = 2458.507252, rt(sum(dE^2)) = 89.662195 | ||
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||
Termination INFO= 1 , condition: |actred|,prered <= ftol, ratio <= 2 : actred= 0.1560944E-07 prered= 0.3110420E-07 ratio= 0.5018434E+00 | ||
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||
Check constraint: upper and lower bounds | ||
#========================================================= | ||
|
||
Check fitness function updates | ||
#============================================ | ||
FDIFF( 0.00100000)<= 100.00000000 |
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