Merge pull request #3996 from lafourcadep/snann_slcsa

Compute sna/atom on fixed number of neighbors and compute slcsa/atom (Supervised Learning Crystal Structure Analysis tool)
This commit is contained in:
Axel Kohlmeyer
2023-12-13 14:36:49 -05:00
committed by GitHub
21 changed files with 2559 additions and 52 deletions

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../../../potentials/Zr_mm.eam.fs

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# Hcp Zr with box vectors H1=[2-1-10], H2=[-12-10], H3=[0001].
864 atoms
1 atom types
0.000000000000 19.374000000000 xlo xhi
0.000000000000 33.556752345839 ylo yhi
0.000000000000 30.846000000000 zlo zhi
Masses
1 91.22400000 # Zr
Atoms # atomic
1 1 0.000000000000 1.864264019213 2.570500000000
2 1 0.000000000000 0.000000000000 0.000000000000
3 1 1.614500000000 4.660660048033 2.570500000000
4 1 1.614500000000 2.796396028820 0.000000000000
5 1 3.229000000000 1.864264019213 2.570500000000
6 1 3.229000000000 0.000000000000 0.000000000000
7 1 4.843500000000 4.660660048033 2.570500000000
8 1 4.843500000000 2.796396028820 0.000000000000
9 1 6.458000000000 1.864264019213 2.570500000000
10 1 6.458000000000 0.000000000000 0.000000000000
11 1 8.072500000000 4.660660048033 2.570500000000
12 1 8.072500000000 2.796396028820 0.000000000000
13 1 9.687000000000 1.864264019213 2.570500000000
14 1 9.687000000000 0.000000000000 0.000000000000
15 1 11.301500000000 4.660660048033 2.570500000000
16 1 11.301500000000 2.796396028820 0.000000000000
17 1 12.916000000000 1.864264019213 2.570500000000
18 1 12.916000000000 0.000000000000 0.000000000000
19 1 14.530500000000 4.660660048033 2.570500000000
20 1 14.530500000000 2.796396028820 0.000000000000
21 1 16.145000000000 1.864264019213 2.570500000000
22 1 16.145000000000 0.000000000000 0.000000000000
23 1 17.759500000000 4.660660048033 2.570500000000
24 1 17.759500000000 2.796396028820 0.000000000000
25 1 0.000000000000 7.457056076853 2.570500000000
26 1 0.000000000000 5.592792057640 0.000000000000
27 1 1.614500000000 10.253452105673 2.570500000000
28 1 1.614500000000 8.389188086460 0.000000000000
29 1 3.229000000000 7.457056076853 2.570500000000
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32 1 4.843500000000 8.389188086460 0.000000000000
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69 1 16.145000000000 13.049848134493 2.570500000000
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769 1 0.000000000000 13.049848134493 28.275500000000
770 1 0.000000000000 11.185584115280 25.705000000000
771 1 1.614500000000 15.846244163313 28.275500000000
772 1 1.614500000000 13.981980144100 25.705000000000
773 1 3.229000000000 13.049848134493 28.275500000000
774 1 3.229000000000 11.185584115280 25.705000000000
775 1 4.843500000000 15.846244163313 28.275500000000
776 1 4.843500000000 13.981980144100 25.705000000000
777 1 6.458000000000 13.049848134493 28.275500000000
778 1 6.458000000000 11.185584115280 25.705000000000
779 1 8.072500000000 15.846244163313 28.275500000000
780 1 8.072500000000 13.981980144100 25.705000000000
781 1 9.687000000000 13.049848134493 28.275500000000
782 1 9.687000000000 11.185584115280 25.705000000000
783 1 11.301500000000 15.846244163313 28.275500000000
784 1 11.301500000000 13.981980144100 25.705000000000
785 1 12.916000000000 13.049848134493 28.275500000000
786 1 12.916000000000 11.185584115280 25.705000000000
787 1 14.530500000000 15.846244163313 28.275500000000
788 1 14.530500000000 13.981980144100 25.705000000000
789 1 16.145000000000 13.049848134493 28.275500000000
790 1 16.145000000000 11.185584115280 25.705000000000
791 1 17.759500000000 15.846244163313 28.275500000000
792 1 17.759500000000 13.981980144100 25.705000000000
793 1 0.000000000000 18.642640192133 28.275500000000
794 1 0.000000000000 16.778376172920 25.705000000000
795 1 1.614500000000 21.439036220953 28.275500000000
796 1 1.614500000000 19.574772201740 25.705000000000
797 1 3.229000000000 18.642640192133 28.275500000000
798 1 3.229000000000 16.778376172920 25.705000000000
799 1 4.843500000000 21.439036220953 28.275500000000
800 1 4.843500000000 19.574772201740 25.705000000000
801 1 6.458000000000 18.642640192133 28.275500000000
802 1 6.458000000000 16.778376172920 25.705000000000
803 1 8.072500000000 21.439036220953 28.275500000000
804 1 8.072500000000 19.574772201740 25.705000000000
805 1 9.687000000000 18.642640192133 28.275500000000
806 1 9.687000000000 16.778376172920 25.705000000000
807 1 11.301500000000 21.439036220953 28.275500000000
808 1 11.301500000000 19.574772201740 25.705000000000
809 1 12.916000000000 18.642640192133 28.275500000000
810 1 12.916000000000 16.778376172920 25.705000000000
811 1 14.530500000000 21.439036220953 28.275500000000
812 1 14.530500000000 19.574772201740 25.705000000000
813 1 16.145000000000 18.642640192133 28.275500000000
814 1 16.145000000000 16.778376172920 25.705000000000
815 1 17.759500000000 21.439036220953 28.275500000000
816 1 17.759500000000 19.574772201740 25.705000000000
817 1 0.000000000000 24.235432249773 28.275500000000
818 1 0.000000000000 22.371168230560 25.705000000000
819 1 1.614500000000 27.031828278593 28.275500000000
820 1 1.614500000000 25.167564259380 25.705000000000
821 1 3.229000000000 24.235432249773 28.275500000000
822 1 3.229000000000 22.371168230560 25.705000000000
823 1 4.843500000000 27.031828278593 28.275500000000
824 1 4.843500000000 25.167564259380 25.705000000000
825 1 6.458000000000 24.235432249773 28.275500000000
826 1 6.458000000000 22.371168230560 25.705000000000
827 1 8.072500000000 27.031828278593 28.275500000000
828 1 8.072500000000 25.167564259380 25.705000000000
829 1 9.687000000000 24.235432249773 28.275500000000
830 1 9.687000000000 22.371168230560 25.705000000000
831 1 11.301500000000 27.031828278593 28.275500000000
832 1 11.301500000000 25.167564259380 25.705000000000
833 1 12.916000000000 24.235432249773 28.275500000000
834 1 12.916000000000 22.371168230560 25.705000000000
835 1 14.530500000000 27.031828278593 28.275500000000
836 1 14.530500000000 25.167564259380 25.705000000000
837 1 16.145000000000 24.235432249773 28.275500000000
838 1 16.145000000000 22.371168230560 25.705000000000
839 1 17.759500000000 27.031828278593 28.275500000000
840 1 17.759500000000 25.167564259380 25.705000000000
841 1 0.000000000000 29.828224307413 28.275500000000
842 1 0.000000000000 27.963960288200 25.705000000000
843 1 1.614500000000 32.624620336233 28.275500000000
844 1 1.614500000000 30.760356317019 25.705000000000
845 1 3.229000000000 29.828224307413 28.275500000000
846 1 3.229000000000 27.963960288200 25.705000000000
847 1 4.843500000000 32.624620336233 28.275500000000
848 1 4.843500000000 30.760356317019 25.705000000000
849 1 6.458000000000 29.828224307413 28.275500000000
850 1 6.458000000000 27.963960288200 25.705000000000
851 1 8.072500000000 32.624620336233 28.275500000000
852 1 8.072500000000 30.760356317019 25.705000000000
853 1 9.687000000000 29.828224307413 28.275500000000
854 1 9.687000000000 27.963960288200 25.705000000000
855 1 11.301500000000 32.624620336233 28.275500000000
856 1 11.301500000000 30.760356317019 25.705000000000
857 1 12.916000000000 29.828224307413 28.275500000000
858 1 12.916000000000 27.963960288200 25.705000000000
859 1 14.530500000000 32.624620336233 28.275500000000
860 1 14.530500000000 30.760356317019 25.705000000000
861 1 16.145000000000 29.828224307413 28.275500000000
862 1 16.145000000000 27.963960288200 25.705000000000
863 1 17.759500000000 32.624620336233 28.275500000000
864 1 17.759500000000 30.760356317019 25.705000000000

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@ -0,0 +1,55 @@
0.65552758 -0.08218108 -0.23122826
2.03065849 0.46494117 0.87297750
-15.80180341 1.50484584 0.31669351
0.06060238 -0.47589059 -0.41017499
4.23928030 -2.27982958 4.87969884
-1.09746642 -1.28258171 2.03459312
5.48480653 -0.66345012 3.18471732
-1.57479966 0.17478998 -0.17156696
3.85779786 1.59890578 1.78936017
-1.14469715 -2.15823271 2.14353632
5.97160056 0.11573423 0.97653410
4.44645807 -0.15365582 -0.08773622
3.09452721 0.32439223 1.19779688
-1.22585061 -0.32185613 0.03949731
0.44816997 -1.11182687 0.26222208
0.19532128 0.30397832 -0.57154050
5.52432571 -0.76685448 0.32647935
6.37957282 -0.96148815 1.53439397
2.73798648 -0.69516327 1.73607004
0.94755899 0.41154702 -0.14095753
1.50733544 1.22254481 0.26284605
0.98313431 -1.24195379 0.59009611
-0.76518592 0.11605047 -0.00304658
-0.68335076 0.48935564 -0.53834507
1.86534260 -0.49032664 -0.06298849
1.52931829 0.64853878 -0.56286214
2.64217062 -1.37348638 0.22526281
0.18023516 0.03439864 0.77624538
2.02366558 0.35432524 0.76748492
0.80982907 0.31806067 0.08774175
1.57388194 -1.07822533 0.15886237
0.41345498 0.38916338 -0.29917607
-0.24819893 0.13763422 0.45471609
-2.27933523 -0.01771636 -0.20567577
1.52275665 0.35306670 0.21266257
0.28547991 1.05230832 1.16641438
0.97147437 -0.63973458 -0.37994470
0.48124764 0.03483500 -0.01982056
0.74502588 0.14367872 -0.24443596
0.48813660 0.15632903 -0.88469078
0.04886450 0.00882595 -0.47920447
0.03103900 -0.15091487 -0.41193682
-0.10106190 0.14911569 0.10727243
-0.15552036 -0.49286545 -0.04644942
0.27304084 0.35638954 1.13331445
0.57788886 -0.50269555 0.09110942
0.36780762 -0.08710371 -0.28478716
1.01678932 -0.42099561 -0.07317253
0.06561086 -0.27253002 -0.05366136
0.22266923 0.19999531 -0.30017173
-0.18666193 0.02576273 0.27752106
-0.76718071 0.61299522 0.58296511
0.60978530 0.04962900 -0.32796430
-0.11572649 0.03034386 -0.83005753
0.12675714 0.00004617 -0.37078106

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@ -0,0 +1 @@
-6.32012657 5.62127377 1.19871662 -0.49986382

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@ -0,0 +1,4 @@
-0.42810669 1.25467216 0.93144383
0.09624929 -0.80420088 0.48996738
-0.09865949 0.39991755 -0.69233982
0.43051689 -0.85038883 -0.72907140

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@ -0,0 +1,20 @@
5.0540
-23.8329 4.6638 3.9805
1.1377 0.1077 -0.0171
0.1077 0.8846 -0.2577
-0.0171 -0.2577 0.6783
5.2340
-21.2853 -6.1583 1.7948
1.7124 0.0341 0.1966
0.0341 0.6453 0.2880
0.1966 0.2880 1.8991
5.0360
-23.1593 1.3059 -5.7549
0.7496 -0.0806 -0.1101
-0.0806 1.1178 0.1667
-0.1101 0.1667 0.6711
7.9940
68.1971 0.1604 -0.0067
0.9663 -0.1846 0.6622
-0.1846 8.2371 0.9841
0.6622 0.9841 5.9601

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@ -0,0 +1,55 @@
137.71497059
0.36342014
-2.78949838
1.75623090
-4.86893969
-2.31918628
-3.01873942
59.70217846
-8.31239311
-1.05113276
-4.08948813
11.70560234
17.48710737
42.43158755
-6.27727395
-1.46675636
-3.40739849
1.58674150
13.02515977
5.67885926
6.45692906
4.69273492
21.59764216
-7.68805780
-4.37357550
-5.79764719
0.53149261
-0.00723980
-2.47811316
-0.34939237
-4.59425510
-4.44056296
107.64051985
-9.32851480
-6.62214151
-5.69590145
22.80361437
9.47641390
2.25214024
-0.19403065
3.05386205
12.91756406
135.15381317
-9.93292065
-3.73311129
10.67039500
9.60945072
-0.03566872
21.97944941
6.70251772
74.60284853
-5.99090678
0.21877973
-1.19909174
1.37424965

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@ -0,0 +1,57 @@
variable trequis equal 750.0
variable prequis_low equal 0.0
variable prequis_high equal 25.0e4
variable equilSteps equal 200
variable runSteps equal 2000
variable freqdump equal 200
variable pstime equal step*dt
variable sxx equal 1.e-4*pxx
variable syy equal 1.e-4*pyy
variable szz equal 1.e-4*pzz
variable sxy equal 1.e-4*pxy
variable sxz equal 1.e-4*pxz
variable syz equal 1.e-4*pyz
variable TK equal temp
variable PE equal pe
variable KE equal ke
variable V equal vol
dimension 3
boundary p p p
units metal
atom_style atomic
read_data data.zr_cell
replicate 1 5 5
change_box all triclinic
pair_style hybrid/overlay zero 9.0 eam/fs
pair_coeff * * zero
pair_coeff * * eam/fs Zr_mm.eam.fs Zr
timestep 0.002
thermo 50
thermo_style custom step pe ke temp vol pxx pyy pzz pxy pyz pxz
# fix extra all print 50 "${pstime} ${TK} ${PE} ${KE} ${V} ${sxx} ${syy} ${szz} ${sxy} ${sxz} ${syz}" file thermo_global_npt_low_temperature_Zr_hcp.dat
velocity all create ${trequis} 42345 dist gaussian
# 1st step : compute the bispectrum on 24 nearest neighbors
compute bnnn all sna/atom 9.0 0.99363 8 0.5 1.0 rmin0 0.0 nnn 24 wmode 1 delta 0.25
# 2nd step : perform dimension reduction + logistic regression
compute slcsa all slcsa/atom 8 4 dir.slcsa/mean_descriptor.dat dir.slcsa/lda_scalings.dat dir.slcsa/lr_decision.dat dir.slcsa/lr_bias.dat dir.slcsa/mahalanobis_file.dat c_bnnn[*]
#dump d1 all custom ${freqdump} slcsa_demo.dump id x y z c_slcsa[*]
# for testing only. in production use dump as shown above
compute max_slcsa all reduce max c_slcsa[*]
compute min_slcsa all reduce min c_slcsa[*]
thermo_style custom step pe ke temp c_max_slcsa[*] c_min_slcsa[*]
#fix 1 all nvt temp ${trequis} ${trequis} 0.100
fix 1 all npt temp ${trequis} ${trequis} 0.100 tri ${prequis_low} ${prequis_low} 1.0
run ${equilSteps}

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LAMMPS (21 Nov 2023)
OMP_NUM_THREADS environment is not set. Defaulting to 1 thread. (src/comm.cpp:98)
using 1 OpenMP thread(s) per MPI task
variable trequis equal 750.0
variable prequis_low equal 0.0
variable prequis_high equal 25.0e4
variable equilSteps equal 200
variable runSteps equal 2000
variable freqdump equal 200
variable pstime equal step*dt
variable sxx equal 1.e-4*pxx
variable syy equal 1.e-4*pyy
variable szz equal 1.e-4*pzz
variable sxy equal 1.e-4*pxy
variable sxz equal 1.e-4*pxz
variable syz equal 1.e-4*pyz
variable TK equal temp
variable PE equal pe
variable KE equal ke
variable V equal vol
dimension 3
boundary p p p
units metal
atom_style atomic
read_data data.zr_cell
Reading data file ...
orthogonal box = (0 0 0) to (19.374 33.556752 30.846)
1 by 1 by 1 MPI processor grid
reading atoms ...
864 atoms
read_data CPU = 0.002 seconds
replicate 1 5 5
Replication is creating a 1x5x5 = 25 times larger system...
orthogonal box = (0 0 0) to (19.374 167.78376 154.23)
1 by 1 by 1 MPI processor grid
21600 atoms
replicate CPU = 0.001 seconds
change_box all triclinic
Changing box ...
triclinic box = (0 0 0) to (19.374 167.78376 154.23) with tilt (0 0 0)
pair_style hybrid/overlay zero 9.0 eam/fs
pair_coeff * * zero
pair_coeff * * eam/fs Zr_mm.eam.fs Zr
Reading eam/fs potential file Zr_mm.eam.fs with DATE: 2007-06-11
timestep 0.002
thermo 50
thermo_style custom step pe ke temp vol pxx pyy pzz pxy pyz pxz
# fix extra all print 50 "${pstime} ${TK} ${PE} ${KE} ${V} ${sxx} ${syy} ${szz} ${sxy} ${sxz} ${syz}" file thermo_global_npt_low_temperature_Zr_hcp.dat
velocity all create ${trequis} 42345 dist gaussian
velocity all create 750 42345 dist gaussian
# 1st step : compute the bispectrum on 24 nearest neighbors
compute bnnn all sna/atom 9.0 0.99363 8 0.5 1.0 rmin0 0.0 nnn 24 wmode 1 delta 0.25
# 2nd step : perform dimension reduction + logistic regression
compute slcsa all slcsa/atom 8 4 dir.slcsa/mean_descriptor.dat dir.slcsa/lda_scalings.dat dir.slcsa/lr_decision.dat dir.slcsa/lr_bias.dat dir.slcsa/mahalanobis_file.dat c_bnnn[*]
Files used:
database mean descriptor: dir.slcsa/mean_descriptor.dat
lda scalings : dir.slcsa/lda_scalings.dat
lr decision : dir.slcsa/lr_decision.dat
lr bias : dir.slcsa/lr_bias.dat
maha stats : dir.slcsa/mahalanobis_file.dat
For class 0 maha threshold = 5.054
mean B:
-23.8329
4.6638
3.9805
icov:
1.1377 0.1077 -0.0171
0.1077 0.8846 -0.2577
-0.0171 -0.2577 0.6783
For class 1 maha threshold = 5.234
mean B:
-21.2853
-6.1583
1.7948
icov:
1.7124 0.0341 0.1966
0.0341 0.6453 0.288
0.1966 0.288 1.8991
For class 2 maha threshold = 5.036
mean B:
-23.1593
1.3059
-5.7549
icov:
0.7496 -0.0806 -0.1101
-0.0806 1.1178 0.1667
-0.1101 0.1667 0.6711
For class 3 maha threshold = 7.994
mean B:
68.1971
0.1604
-0.0067
icov:
0.9663 -0.1846 0.6622
-0.1846 8.2371 0.9841
0.6622 0.9841 5.9601
#dump d1 all custom ${freqdump} slcsa_demo.dump id x y z c_slcsa[*]
# for testing only. in production use dump as shown above
compute max_slcsa all reduce max c_slcsa[*]
compute min_slcsa all reduce min c_slcsa[*]
thermo_style custom step pe ke temp c_max_slcsa[*] c_min_slcsa[*]
#fix 1 all nvt temp ${trequis} ${trequis} 0.100
fix 1 all npt temp ${trequis} ${trequis} 0.100 tri ${prequis_low} ${prequis_low} 1.0
fix 1 all npt temp 750 ${trequis} 0.100 tri ${prequis_low} ${prequis_low} 1.0
fix 1 all npt temp 750 750 0.100 tri ${prequis_low} ${prequis_low} 1.0
fix 1 all npt temp 750 750 0.100 tri 0 ${prequis_low} 1.0
fix 1 all npt temp 750 750 0.100 tri 0 0 1.0
run ${equilSteps}
run 200
Neighbor list info ...
update: every = 1 steps, delay = 0 steps, check = yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 11
ghost atom cutoff = 11
binsize = 5.5, bins = 4 31 29
3 neighbor lists, perpetual/occasional/extra = 2 1 0
(1) pair zero, perpetual
attributes: half, newton on
pair build: half/bin/newton/tri
stencil: half/bin/3d/tri
bin: standard
(2) pair eam/fs, perpetual, trim from (1)
attributes: half, newton on, cut 9.6
pair build: trim
stencil: none
bin: none
(3) compute sna/atom, occasional
attributes: full, newton on
pair build: full/bin/atomonly
stencil: full/bin/3d
bin: standard
Per MPI rank memory allocation (min/avg/max) = 31.9 | 31.9 | 31.9 Mbytes
Step PotEng KinEng Temp c_max_slcsa[1] c_max_slcsa[2] c_max_slcsa[3] c_max_slcsa[4] c_max_slcsa[5] c_min_slcsa[1] c_min_slcsa[2] c_min_slcsa[3] c_min_slcsa[4] c_min_slcsa[5]
0 -143297.23 2093.9174 750 7.6195146 15.787294 1.2169942 111.01919 2 7.6195146 15.787294 1.2169942 111.01919 2
50 -142154.08 1007.7164 360.9442 8.8091564 19.23244 4.2093382 113.87959 2 5.0327148 9.6817454 0.02610585 106.71863 2
100 -142365.33 1406.6559 503.83647 8.6272189 17.908949 2.9294666 113.75167 2 6.2058895 11.913521 0.033775944 108.66893 2
150 -142188.18 1432.0075 512.91691 8.6441961 18.176321 2.9277374 114.27958 2 5.5899425 10.521867 0.014919473 108.14526 2
200 -142000.4 1481.7247 530.72462 8.5895692 18.65646 3.1725758 114.55015 2 5.5955774 10.776385 0.061469343 108.35384 2
Loop time of 36.3759 on 1 procs for 200 steps with 21600 atoms
Performance: 0.950 ns/day, 25.261 hours/ns, 5.498 timesteps/s, 118.760 katom-step/s
99.8% CPU use with 1 MPI tasks x 1 OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 9.0837 | 9.0837 | 9.0837 | 0.0 | 24.97
Neigh | 0.52896 | 0.52896 | 0.52896 | 0.0 | 1.45
Comm | 0.045416 | 0.045416 | 0.045416 | 0.0 | 0.12
Output | 26.548 | 26.548 | 26.548 | 0.0 | 72.98
Modify | 0.1493 | 0.1493 | 0.1493 | 0.0 | 0.41
Other | | 0.02088 | | | 0.06
Nlocal: 21600 ave 21600 max 21600 min
Histogram: 1 0 0 0 0 0 0 0 0 0
Nghost: 36674 ave 36674 max 36674 min
Histogram: 1 0 0 0 0 0 0 0 0 0
Neighs: 2.61729e+06 ave 2.61729e+06 max 2.61729e+06 min
Histogram: 1 0 0 0 0 0 0 0 0 0
FullNghs: 5.24007e+06 ave 5.24007e+06 max 5.24007e+06 min
Histogram: 1 0 0 0 0 0 0 0 0 0
Total # of neighbors = 5240069
Ave neighs/atom = 242.59579
Neighbor list builds = 4
Dangerous builds = 0
Total wall time: 0:00:43

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@ -0,0 +1,180 @@
LAMMPS (21 Nov 2023)
OMP_NUM_THREADS environment is not set. Defaulting to 1 thread. (src/comm.cpp:98)
using 1 OpenMP thread(s) per MPI task
variable trequis equal 750.0
variable prequis_low equal 0.0
variable prequis_high equal 25.0e4
variable equilSteps equal 200
variable runSteps equal 2000
variable freqdump equal 200
variable pstime equal step*dt
variable sxx equal 1.e-4*pxx
variable syy equal 1.e-4*pyy
variable szz equal 1.e-4*pzz
variable sxy equal 1.e-4*pxy
variable sxz equal 1.e-4*pxz
variable syz equal 1.e-4*pyz
variable TK equal temp
variable PE equal pe
variable KE equal ke
variable V equal vol
dimension 3
boundary p p p
units metal
atom_style atomic
read_data data.zr_cell
Reading data file ...
orthogonal box = (0 0 0) to (19.374 33.556752 30.846)
1 by 2 by 2 MPI processor grid
reading atoms ...
864 atoms
read_data CPU = 0.002 seconds
replicate 1 5 5
Replication is creating a 1x5x5 = 25 times larger system...
orthogonal box = (0 0 0) to (19.374 167.78376 154.23)
1 by 2 by 2 MPI processor grid
21600 atoms
replicate CPU = 0.001 seconds
change_box all triclinic
Changing box ...
triclinic box = (0 0 0) to (19.374 167.78376 154.23) with tilt (0 0 0)
pair_style hybrid/overlay zero 9.0 eam/fs
pair_coeff * * zero
pair_coeff * * eam/fs Zr_mm.eam.fs Zr
Reading eam/fs potential file Zr_mm.eam.fs with DATE: 2007-06-11
timestep 0.002
thermo 50
thermo_style custom step pe ke temp vol pxx pyy pzz pxy pyz pxz
# fix extra all print 50 "${pstime} ${TK} ${PE} ${KE} ${V} ${sxx} ${syy} ${szz} ${sxy} ${sxz} ${syz}" file thermo_global_npt_low_temperature_Zr_hcp.dat
velocity all create ${trequis} 42345 dist gaussian
velocity all create 750 42345 dist gaussian
# 1st step : compute the bispectrum on 24 nearest neighbors
compute bnnn all sna/atom 9.0 0.99363 8 0.5 1.0 rmin0 0.0 nnn 24 wmode 1 delta 0.25
# 2nd step : perform dimension reduction + logistic regression
compute slcsa all slcsa/atom 8 4 dir.slcsa/mean_descriptor.dat dir.slcsa/lda_scalings.dat dir.slcsa/lr_decision.dat dir.slcsa/lr_bias.dat dir.slcsa/mahalanobis_file.dat c_bnnn[*]
Files used:
database mean descriptor: dir.slcsa/mean_descriptor.dat
lda scalings : dir.slcsa/lda_scalings.dat
lr decision : dir.slcsa/lr_decision.dat
lr bias : dir.slcsa/lr_bias.dat
maha stats : dir.slcsa/mahalanobis_file.dat
For class 0 maha threshold = 5.054
mean B:
-23.8329
4.6638
3.9805
icov:
1.1377 0.1077 -0.0171
0.1077 0.8846 -0.2577
-0.0171 -0.2577 0.6783
For class 1 maha threshold = 5.234
mean B:
-21.2853
-6.1583
1.7948
icov:
1.7124 0.0341 0.1966
0.0341 0.6453 0.288
0.1966 0.288 1.8991
For class 2 maha threshold = 5.036
mean B:
-23.1593
1.3059
-5.7549
icov:
0.7496 -0.0806 -0.1101
-0.0806 1.1178 0.1667
-0.1101 0.1667 0.6711
For class 3 maha threshold = 7.994
mean B:
68.1971
0.1604
-0.0067
icov:
0.9663 -0.1846 0.6622
-0.1846 8.2371 0.9841
0.6622 0.9841 5.9601
#dump d1 all custom ${freqdump} slcsa_demo.dump id x y z c_slcsa[*]
# for testing only. in production use dump as shown above
compute max_slcsa all reduce max c_slcsa[*]
compute min_slcsa all reduce min c_slcsa[*]
thermo_style custom step pe ke temp c_max_slcsa[*] c_min_slcsa[*]
#fix 1 all nvt temp ${trequis} ${trequis} 0.100
fix 1 all npt temp ${trequis} ${trequis} 0.100 tri ${prequis_low} ${prequis_low} 1.0
fix 1 all npt temp 750 ${trequis} 0.100 tri ${prequis_low} ${prequis_low} 1.0
fix 1 all npt temp 750 750 0.100 tri ${prequis_low} ${prequis_low} 1.0
fix 1 all npt temp 750 750 0.100 tri 0 ${prequis_low} 1.0
fix 1 all npt temp 750 750 0.100 tri 0 0 1.0
run ${equilSteps}
run 200
Neighbor list info ...
update: every = 1 steps, delay = 0 steps, check = yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 11
ghost atom cutoff = 11
binsize = 5.5, bins = 4 31 29
3 neighbor lists, perpetual/occasional/extra = 2 1 0
(1) pair zero, perpetual
attributes: half, newton on
pair build: half/bin/newton/tri
stencil: half/bin/3d/tri
bin: standard
(2) pair eam/fs, perpetual, trim from (1)
attributes: half, newton on, cut 9.6
pair build: trim
stencil: none
bin: none
(3) compute sna/atom, occasional
attributes: full, newton on
pair build: full/bin/atomonly
stencil: full/bin/3d
bin: standard
Per MPI rank memory allocation (min/avg/max) = 11.26 | 11.45 | 11.64 Mbytes
Step PotEng KinEng Temp c_max_slcsa[1] c_max_slcsa[2] c_max_slcsa[3] c_max_slcsa[4] c_max_slcsa[5] c_min_slcsa[1] c_min_slcsa[2] c_min_slcsa[3] c_min_slcsa[4] c_min_slcsa[5]
0 -143297.23 2093.9174 750 7.6195146 15.787294 1.2169942 111.01919 2 7.6195146 15.787294 1.2169942 111.01919 2
50 -142154.08 1007.7164 360.9442 8.8091564 19.23244 4.2093382 113.87959 2 5.0327148 9.6817454 0.02610585 106.71863 2
100 -142365.33 1406.6559 503.83647 8.6272189 17.908949 2.9294666 113.75167 2 6.2058895 11.913521 0.033775944 108.66893 2
150 -142188.18 1432.0075 512.91691 8.6441961 18.176321 2.9277374 114.27958 2 5.5899425 10.521867 0.014919473 108.14526 2
200 -142000.4 1481.7247 530.72462 8.5895692 18.65646 3.1725758 114.55015 2 5.5955774 10.776385 0.061469343 108.35384 2
Loop time of 9.81677 on 4 procs for 200 steps with 21600 atoms
Performance: 3.521 ns/day, 6.817 hours/ns, 20.373 timesteps/s, 440.063 katom-step/s
99.7% CPU use with 4 MPI tasks x 1 OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 2.6508 | 2.6589 | 2.6698 | 0.5 | 27.09
Neigh | 0.1516 | 0.15276 | 0.15406 | 0.3 | 1.56
Comm | 0.047132 | 0.058969 | 0.066095 | 3.2 | 0.60
Output | 6.8886 | 6.8886 | 6.8886 | 0.0 | 70.17
Modify | 0.046437 | 0.04661 | 0.046825 | 0.1 | 0.47
Other | | 0.01091 | | | 0.11
Nlocal: 5400 ave 5416 max 5393 min
Histogram: 2 1 0 0 0 0 0 0 0 1
Nghost: 12902.8 ave 12911 max 12888 min
Histogram: 1 0 0 0 0 0 1 0 0 2
Neighs: 654322 ave 655602 max 650912 min
Histogram: 1 0 0 0 0 0 0 0 0 3
FullNghs: 1.31002e+06 ave 1.31507e+06 max 1.30683e+06 min
Histogram: 1 1 0 1 0 0 0 0 0 1
Total # of neighbors = 5240065
Ave neighs/atom = 242.5956
Neighbor list builds = 4
Dangerous builds = 0
Total wall time: 0:00:11