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exercises:2016_summer_school:aimd

Ab initio molecular dynamics

Once a standard GGA simulation has been set up, doing ab initio MD is easy. Here we prepare a simulation of bulk liquid water, a system that has been studied a lot with CP2K (e.g. 10.1063/1.1828433 or 10.1021/jp901990u). The second illustrates convincingly why dispersion corrections are essential.

The first goal is to setup a simulation in production mode by reducing output, and enabling restarting. The second goal to understand the produced .ener file and do some basic analysis of the trajectory with VMD.

AIMD of bulk liquid water

For the sake of running this exercise quickly, we'll use the DZVP-GTH basis found in the HFX_BASIS file. This basis is smaller than what can be recommended for a subtle substance such as liquid water, rather use TZV2P-GTH, TZV2P-MOLOPT-GTH, or cc-TZV2P or better basis sets for production runs.

Topics:

  • MD section (timestep)
  • Thermostat (NVE, NVT, NPT)

1st task: prepapre inputs for MD

Start from the mode1.inp input file of the previous exercise, rename the file to water.inp. You'll also need a new file HFX_BASIS from the cp2k/data directory.

Change keywords to :

  • PROJECT WATER
  • RUN_TYPE MD
  • BASIS_SET_FILE_NAME HFX_BASIS
  • MINIMIZER DIIS
  • ABC [angstrom] 12.42 12.42 12.42
  • COORD_FILE_NAME water.xyz
  • BASIS_SET DZVP-GTH

Insert the following blocks in their respective sections:

Reduce output, and limit job time to 5min.

&GLOBAL
  ! limit the runs to 5min
  WALLTIME 300
  ! reduce the amount of IO
  IOLEVEL  LOW
&END GLOBAL

! do not write the wfn restart file every step, for large systems this is slow

    &SCF
      ! do not store the wfn during MD
      &PRINT
        &RESTART OFF
        &END
      &END
    &END SCF

! tune the output, switch off unneeded keywords ! only sample output of others.

    &PRINT
       ! at the end of the SCF procedure generate cube files of the density
       &E_DENSITY_CUBE OFF
       &END E_DENSITY_CUBE
       ! compute eigenvalues and homo-lumo gap each 10nd MD step
       &MO_CUBES
          ! compute 4 unoccupied orbital energies
          NLUMO 4
          NHOMO 4
          ! but don't write the cube files
          WRITE_CUBE .FALSE.
          ! do this every 10th MD step.
          &EACH
            MD 10
          &END
       &END
    &END

make sure trajectories and restart files are dumped as needed.

&MOTION
  &PRINT
   &TRAJECTORY
     &EACH
       MD 1
     &END EACH
   &END TRAJECTORY
   &VELOCITIES OFF
   &END VELOCITIES
   &FORCES OFF
   &END FORCES
   &RESTART_HISTORY
     &EACH
       MD 500
     &END EACH
   &END RESTART_HISTORY
   &RESTART
     BACKUP_COPIES 3
     &EACH
       MD 1
     &END EACH
   &END RESTART
  &END PRINT
&END MOTION

Now, run the input and check for successful completion of the job (look for the timing report or the ENDED AT line in the output).

During MD CP2K has generated various files named WATER-1.restart, WATER-pos-1.xyz, WATER-1.ener. These are a restart file for the MD (open this file in an editor to see that this is actually a regular input file), the trajectory of the MD, and a file summarizing the energies (potential, kinetic and conserved quantity). Before we analyze these files, we'll resubmit a job for the continuation of the MD.

modify the input to enable restarting:

&EXT_RESTART
  RESTART_FILE_NAME WATER-1.restart
&END

If time permits, increase the WALLTIME (and the corresponding time limit in the job script), and run a longer job.

as soon as the job runs significantly longer than the time needed to perform the first few steps, restarting the job doesn't influence the efficiency.

Analysis

While running the MD simulations, it is useful to check that all is fine. Here, we do some basic analysis, to look at the structure and dynamics of the liquid.

2nd task: visualize the .ener file

A first quick check can be performed using the file WATER-1.ener which contains basic information

#     Step Nr.          Time[fs]        Kin.[a.u.]          Temp[K]            Pot.[a.u.]        Cons Qty[a.u.]        UsedTime[s]
         0            0.000000         0.273612846       300.000000000     -1102.629448594     -1102.355835748         0.000000000
         1            0.500000         0.279633819       306.601634956     -1102.634728486     -1102.356032711        70.082937483
         2            1.000000         0.278176228       305.003473822     -1102.643688340     -1102.356285321        11.608515253
         3            1.500000         0.280393422       307.434493169     -1102.653080703     -1102.356547289        11.607597935
         4            2.000000         0.282889483       310.171274373     -1102.655862600     -1102.356593452        11.617385623
         5            2.500000         0.294372846       322.762089451     -1102.653391721     -1102.356505399        11.665471402

This can be easily visualized with gnuplot, for example for the conserved quantity (plotting the second vs the sixth column) :

gnuplot> plot './WATER-1.ener' u 2:6 w lp

To judge if this is actually well conserved, compare to the potential energy:

gnuplot> plot './WATER-1.ener' u 2:5 w lp
gnuplot> replot './WATER-1.ener' u 2:6 w lp

If the constant of motion is not well conserved, try to

  • Make EPS_SCF tighter (to reduce drift)
  • Make TIMESTEP shorter (to reduce fluctuations)
  • Play with EXTRAPOLATION_ORDER (to reduce drift and or instabilities)

To judge if a system is well equilibrated is not easy. At least the temperature and the potential energy of the system must oscillate around an average and be free of long term drift. As a rule of thumb, discard 1/3 of the trajectory, use 2/3 for data analysis.

3rd task: visualize/analyze the trajectory file

We will use vmd to analyze the trajectory file. Note that the generated trajectory is only a few 100s of fs, typically, 10s of ps are needed for even for basic properties.

Start vmd

vmd WATER-pos-1.xyz

g(r)

In the menu go to :

Extensions/Analysis/Radial Pair Distribution Function g® Utilities/Set unit cell size dimensions

1st, set the unit cell as needed. Now improve the Graphics/Representations to also show neighboring unit cells and visualize hydrogen bonds.

2nd, compute the O-O pair distribution function (Selections=name O) and similar for the O-H pair distribution function (including their integrals).

How many neighbors does a given water molecule have on average (3, 3-4, 4, 4-5, 5)?

IR spectrum

Based on the time evolution of the dipole of the system, the IR spectral density can be estimated. To estimate the dipole from AIMD, wannier centers need to be computed. This is out of scope of the current tutorial (TODO: find link). We employ a simple approximation, namely classical point charges for the water molecules. In this context the approximation is reasonable.

Create the following file

charges.dat
O -1.2
H +0.6

Go to Extensions/Analysis/Spectral density calculator. Select the proper molecule (WATER-pos-1.xyz), adjust the timestep (0.5fs), and the maximum frequency (6000 cm^-1). Utilities/Load name↔charge map from file. Compute spectrum.

Where do you expect the OH stretch to be ? Is this reproduced ?

Lower frequencies need longer trajectories for reasonable estimates, at the very least 10 times the period of the signal

AIMD of simle ions in water solution

4th task: simple ions in solution

This task is optional, and can be performed at the end of the tutorial if time is available.

Introduce an ion in your system, and equilibrate this system. Study its dynamics and solvation structure.

The easiest way to do so is to replace one or more water molecules (depending on the size of the ion) by the ion in question. Obviously, the configuration produced in this way is far from equilibrium, and must be run for a while before it is representative.

Entertaining is to turn one H2O into H+, do you see Eigen and Zundel states and the Grotthuss mechanism ?

Required files

water.xyz
192
water with unit cell: ABC [angstrom] 12.42 12.42 12.42
  O         3.8585873763       -4.7533175213        5.5091974759
  H         4.2109950951       -5.5568705259        5.9994585948
  H         3.0947084560       -4.3172663108        5.9135950646
  O        -3.5460761891        1.7456237131        4.2880212708
  H        -3.3572582677        0.8369944362        4.1529456220
  H        -3.6089143450        1.9436976972        5.2698392012
  O         4.5691359319        2.9343274990       -7.0999718127
  H         3.6785962350        3.2291072409       -6.8049831901
  H         4.4953665356        2.7845914189       -8.0458027314
  O        -2.5731801314       -0.1063102257       -3.4147140374
  H        -2.0386687011        0.4155234251       -2.8289645480
  H        -1.8891606976       -0.6148201666       -3.9280631618
  O        -3.7625034284       -7.7105940327        5.6279977389
  H        -4.6343536576       -7.4199803039        5.9874790347
  H        -3.8520633915       -7.6348492192        4.6607806353
  O        -6.7131259426       -0.0759204976        2.3176844292
  H        -6.0415850051       -0.4560400697        3.0079983076
  H        -6.2582643134        0.7343068494        1.9582947358
  O         4.0109535867       -5.5817692668       -0.4126912859
  H         3.3321311866       -5.6166906662        0.3076935926
  H         3.9051538355       -4.7533442556       -0.8369521875
  O        -2.6692626967       -3.0810510613       -1.2259349448
  H        -3.2486322997       -2.4491708867       -1.7386930105
  H        -2.1918958173       -2.5988518360       -0.5763067756
  O         5.4576244064       -3.1688044689        3.1002596795
  H         4.6854987571       -3.2457995297        3.6224179934
  H         5.2579372917       -3.0507495002        2.1311396222
  O         2.0078792352        3.8025888294       -6.6441198936
  H         1.3809036112        3.0702729257       -6.8038689306
  H         1.8366067800        4.0666291804       -5.7099975874
  O         4.0608830110       -3.8929207302       -3.0596772434
  H         3.2332712864       -3.7206669725       -3.6953758544
  H         4.3366899606       -2.9825098616       -2.9848217710
  O         1.9773593054       -1.8442291306        1.0225667179
  H         1.5650644885       -2.4713604568        1.6495937537
  H         1.6194813185       -1.9133123969        0.0656946095
  O         0.7338447631       -5.7432877136       -5.0100685957
  H         1.4795768454       -6.3299226862       -4.8189325814
  H         0.4491149358       -5.7095685669       -5.9473559749
  O        -7.5166459589       -8.6781062088       -3.2371569882
  H        -7.8737663294       -9.6027219294       -3.0814153209
  H        -7.1323941392       -8.5788960418       -2.3467663280
  O         3.0089956358       -1.6206934676        5.1704516391
  H         3.8547864750       -1.8022862145        5.6866350548
  H         3.1700832113       -0.8185381416        4.6102432456
  O        -0.0943492744        1.8634710749       -6.6861347029
  H         0.2389831969        1.0552334471       -6.3170377387
  H        -0.0534604238        1.7370469556       -7.6527831571
  O         1.3803001006       -3.0815472275        3.6598466091
  H         2.0052752091       -2.6793618758        4.3169228939
  H         1.0973942250       -3.9666380514        3.9813401483
  O        -2.3279129364        2.8060791527        2.2347417439
  H        -1.6230445751        2.1315230876        2.1866163236
  H        -2.7609234795        2.5819568350        3.0889511952
  O         0.8745131234       -0.6611187482       -5.6004046460
  H         1.7204015713       -0.8189656405       -6.1098612966
  H         1.1964117837       -0.2405057963       -4.7549061774
  O        -1.1866462102       -0.7164030048        0.2437849238
  H        -1.1340006348        0.2325710411       -0.0726156939
  H        -0.9335438317       -0.7854778370        1.2011335414
  O        -3.8861935106       -9.0129285534       -3.1318571683
  H        -4.4983492231       -8.2801255892       -3.2160220896
  H        -2.9183857578       -8.7301395642       -3.1224505015
  O         4.9784414381        4.5574106629        2.1605978288
  H         4.5742506248        4.0690251974        1.4375040342
  H         4.2106782789        4.9079438424        2.6736093641
  O         4.2074812608        1.0294752439       -3.2134938111
  H         4.6250866171        0.8524308220       -4.0648666086
  H         4.4221519308        0.1920392568       -2.7364360799
  O        -5.2106345443       -6.3463699492       -2.6806456410
  H        -5.3801630197       -6.0861826108       -1.7737611737
  H        -5.9985546753       -6.0894306119       -3.1521879087
  O         4.8272006144       -2.1493089974        0.6957555837
  H         5.1698114049       -1.3843105780        1.1680731517
  H         3.8731403616       -2.0152767607        0.7901517878
  O         2.1084974235        0.9406557281        1.6964699575
  H         2.7635704789        1.5106519967        1.2582480434
  H         2.3138417141        0.0791504768        1.2943222699
  O        -5.7579045611       -5.0935991816       -0.3613728277
  H        -6.6922016300       -5.4438912590       -0.2434456391
  H        -5.9339541154       -4.1852263482       -0.6893230982
  O        -4.8501183696        4.6347512586        2.6323657871
  H        -5.8186923573        4.7291496971        2.3648078237
  H        -4.7686962808        3.6685062675        2.2489112658
  O         5.5123889390        0.8523825517       -5.5927914459
  H         6.4009274201        1.1961666201       -5.3454982775
  H         5.0326268549        1.4571097750       -6.2820870000
  O         0.7365184732       -1.9176950430       -1.2724577473
  H         0.4366627686       -2.6685959517       -1.8452499204
  H        -0.0280723827       -1.6346960324       -0.7323636982
  O         3.9005939808        2.6221972296        0.0824981180
  H         4.6603628952        2.4136405159       -0.4885023274
  H         3.3619307241        3.2465911837       -0.4599512808
  O        -1.0991624885       -1.3693412589        2.9498880034
  H        -0.3354058556       -2.0369012425        3.1075024163
  H        -1.8473458549       -1.9916364646        3.2032143743
  O         2.0718451094       -5.6501678174        1.3629079156
  H         1.2043618452       -6.1369822674        1.2560686630
  H         2.4507495844       -5.8859092245        2.2558212721
  O        -0.6280310316       -3.8273493362       -2.8460859716
  H        -1.5583639221       -3.7769636412       -2.5811140145
  H        -0.5112292363       -4.5879523025       -3.3982225959
  O        -5.2918433010        2.0621670074        1.4353011132
  H        -4.4549447831        1.8776050679        1.9014549175
  H        -5.1335936869        1.9198214761        0.4197228743
  O         1.9599719653       -3.4245632717       -5.2673604360
  H         1.3225562775       -4.2123092010       -5.0388832852
  H         1.2999292168       -2.7711468268       -5.4986783863
  O        -1.1933205846        3.9368513830       -3.3737465077
  H        -1.2003012694        3.9803649971       -4.3582935942
  H        -0.7402505311        4.6500956055       -2.9405594580
  O        -5.4243979802       -5.0029807582        4.2784625506
  H        -6.1164034705       -4.5127003053        3.7817315683
  H        -4.7403199519       -5.3498607764        3.6920944114
  O         2.9732984993        5.7937546317        3.6041830736
  H         3.4176710045        6.4726708296        4.1695014822
  H         2.4485201643        5.2041088060        4.2250869218
  O        -4.0511295134        1.5445925671       -5.0626498585
  H        -3.5387103609        0.7974835831       -4.6210546124
  H        -4.0333821170        2.3518494025       -4.4301366268
  O         3.4847726839        0.5997692637        4.0091486817
  H         2.7896502362        0.5375110591        3.2686671028
  H         4.3189983631        0.4153324309        3.4395276451
  O        -4.6207476869       -1.0117618538        4.0048952776
  H        -5.3477593066       -1.2443059233        4.6253237945
  H        -4.2163881176       -1.8844792105        3.8428058821
  O        -0.2165387154        1.2751467697        3.1167167744
  H         0.6371782887        1.4136801810        2.7286969429
  H        -0.3894124526        0.3225841245        3.0508790291
  O        -1.9915351632        5.0697083632        0.6000194332
  H        -2.3376502958        4.2340876605        1.0013898546
  H        -2.6520248188        5.7471163392        0.8506616742
  O        -1.3075474036       -1.8956122645       -4.9542920356
  H        -0.8701251561       -2.4028189929       -4.2563741889
  H        -0.5949693850       -1.3532124979       -5.4532434800
  O        -5.1373452268        1.8062068789       -1.2867681226
  H        -4.6981592560        2.4597481938       -1.8505668997
  H        -5.4245526684        1.1256927260       -1.8633945543
  O        -7.3836561358       -1.2119873462       -1.9506599575
  H        -6.4212881329       -1.0371432188       -2.1463799566
  H        -7.4808782211       -1.5310477918       -1.0339482458
  O        -0.4639445925        1.4048471789       -1.7228637494
  H        -0.7867348868        2.1866499220       -2.1962304023
  H         0.2743927320        0.9864157199       -2.2215845685
  O        -0.0298107043       -6.5210921839       -1.0933643185
  H         0.0021424143       -5.5311453888       -1.1226646288
  H        -0.8031132631       -6.7435142146       -0.4648562320
  O         5.7090935537       -1.6927086580        6.0185486672
  H         6.0227718591       -2.5102376528        6.4195407580
  H         5.6793497711       -0.9012395738        6.6521961143
  O        -2.5962982991       -5.7683972037       -4.2195771395
  H        -2.6049028140       -6.7077669400       -4.4728336739
  H        -3.4354537463       -5.5645841736       -3.8483514813
  O        -4.9449687319       -1.4086720170       -3.2473392351
  H        -4.8913021653       -2.2217322989       -3.7674224672
  H        -3.9689548003       -1.0964857745       -3.2341980948
  O         2.2983754229       -8.0809494482       -1.2132412662
  H         1.3003681505       -8.0636283692       -1.1143923954
  H         2.5161940132       -7.1053673603       -1.1768519202
  O         6.7754357543       -3.8965331032       -5.3359261145
  H         7.5499418595       -4.1003001805       -5.8213622687
  H         6.0430158524       -4.4328146397       -5.6479610986
  O        -0.3424844631        4.9658112476        2.9508285728
  H        -0.6418240309        4.1672557959        3.4716379980
  H        -0.6759740908        4.8699377537        2.0551376194
  O        -2.8056288807       -4.0048234272        6.2239057927
  H        -2.3850599469       -4.6322887909        6.8455564859
  H        -2.3797353004       -3.1498233269        6.4330163166
  O        -2.7925113864       -3.4732237158        3.4612331596
  H        -3.1129543056       -3.8620641144        4.2746132111
  H        -3.2856093678       -4.0271447136        2.8274407488
  O         2.4867711476        4.6803618907       -3.9511208166
  H         3.3971373036        4.5081635205       -3.6298163906
  H         1.9790712168        4.6240682409       -3.1152437525
  O         1.6590765104        0.0523137912       -3.1069189687
  H         1.5113564742       -0.5996769003       -2.3563690233
  H         2.5068721250        0.5264194699       -3.0661523880
  O        -1.2023048654       -8.1603479212       -6.3670700282
  H        -0.9055157967       -9.0690551157       -6.5705273597
  H        -2.1798096138       -8.0740016376       -6.5464905196
  O        -0.4761071273        8.3851620636        0.5987466087
  H         0.3632441731        8.3096547993        1.1058350782
  H        -1.2852386123        8.0753854402        1.0587255936
  O         5.9065449362       -6.7989771803       -6.6004398209
  H         5.4130154976       -7.6233171741       -6.9137876216
  H         6.2177506878       -6.2344541440       -7.3198720135
  O        -0.3594330297       -5.2622440761        4.6704297767
  H        -0.4156127476       -6.0988819305        4.1367481919
  H        -1.2931127588       -5.1547968831        4.9497584977
  O        -3.8273131578       -5.5279235466        1.7633664403
  H        -4.1388543582       -6.3621998573        2.1513804320
  H        -4.3955669691       -5.3216936959        1.0405948547

The following file should be the result of your edits to mode1.inp and your final water.inp. Only use this if you're stuck following the instructions.

water_cheating.inp
&GLOBAL
  ! the project name is made part of most output files... useful to keep order 
  PROJECT WATER
  ! various runtypes (energy, geo_opt, etc.) available.
  RUN_TYPE MD             
  ! limit the runs to 5min
  WALLTIME 1800
  ! reduce the amount of IO
  IOLEVEL  LOW 
&END GLOBAL

&FORCE_EVAL
  ! the electronic structure part of CP2K is named Quickstep
  METHOD Quickstep
  &DFT
    ! basis sets and pseudopotential files can be found in cp2k/data
    BASIS_SET_FILE_NAME HFX_BASIS
    POTENTIAL_FILE_NAME GTH_POTENTIALS            

    ! Charge and multiplicity
    CHARGE 0
    MULTIPLICITY 1

    &MGRID
       ! PW cutoff ... depends on the element (basis) too small cutoffs lead to the eggbox effect.
       ! certain calculations (e.g. geometry optimization, vibrational frequencies,
       ! NPT and cell optimizations, need higher cutoffs)
       CUTOFF [Ry] 400 
    &END

    &QS
       ! use the GPW method (i.e. pseudopotential based calculations with the Gaussian and Plane Waves scheme).
       METHOD GPW 
       ! default threshold for numerics ~ roughly numerical accuracy of the total energy per electron,
       ! sets reasonable values for all other thresholds.
       EPS_DEFAULT 1.0E-10 
       ! used for MD, the method used to generate the initial guess.
       EXTRAPOLATION ASPC 
    &END

    &POISSON
       PERIODIC XYZ ! the default, gas phase systems should have 'NONE' and a wavelet solver
    &END

    &PRINT
       ! at the end of the SCF procedure generate cube files of the density
       &E_DENSITY_CUBE OFF
       &END E_DENSITY_CUBE
       ! compute eigenvalues and homo-lumo gap each 10nd MD step
       &MO_CUBES
          NLUMO 4
          NHOMO 4
          WRITE_CUBE .FALSE.
          &EACH
            MD 10
          &END
       &END
    &END

    ! use the OT METHOD for robust and efficient SCF, suitable for all non-metallic systems.
    &SCF                              
      SCF_GUESS ATOMIC ! can be used to RESTART an interrupted calculation
      MAX_SCF 30
      EPS_SCF 1.0E-6 ! accuracy of the SCF procedure typically 1.0E-6 - 1.0E-7
      &OT
        ! an accurate preconditioner suitable also for larger systems
        PRECONDITIONER FULL_SINGLE_INVERSE
        ! the most robust choice (DIIS might sometimes be faster, but not as stable).
        MINIMIZER DIIS
      &END OT
      &OUTER_SCF ! repeat the inner SCF cycle 10 times
        MAX_SCF 10
        EPS_SCF 1.0E-6 ! must match the above
      &END
      ! do not store the wfn during MD
      &PRINT
        &RESTART OFF
        &END
      &END
    &END SCF

    ! specify the exchange and correlation treatment
    &XC
      ! use a PBE functional 
      &XC_FUNCTIONAL 
         &PBE
         &END
      &END XC_FUNCTIONAL
      ! adding Grimme's D3 correction (by default without C9 terms) 
      &VDW_POTENTIAL
         POTENTIAL_TYPE PAIR_POTENTIAL 
         &PAIR_POTENTIAL
            PARAMETER_FILE_NAME dftd3.dat
            TYPE DFTD3
            REFERENCE_FUNCTIONAL PBE
            R_CUTOFF [angstrom] 16
         &END
      &END VDW_POTENTIAL
    &END XC
  &END DFT
 
  ! description of the system
  &SUBSYS
    &CELL 
      ! unit cells that are orthorhombic are more efficient with CP2K
      ABC [angstrom] 12.42 12.42 12.42
    &END CELL

    ! atom coordinates can be in the &COORD section,
    ! or provided as an external file.
    &TOPOLOGY
      COORD_FILE_NAME water.xyz
      COORD_FILE_FORMAT XYZ
    &END

    ! MOLOPT basis sets are fairly costly,
    ! but in the 'DZVP-MOLOPT-SR-GTH' available for all elements
    ! their contracted nature makes them suitable
    ! for condensed and gas phase systems alike.
    &KIND H                              
      BASIS_SET DZVP-GTH
      POTENTIAL GTH-PBE-q1             
    &END KIND
    &KIND O
      BASIS_SET DZVP-GTH
      POTENTIAL GTH-PBE-q6
    &END KIND
  &END SUBSYS
&END FORCE_EVAL

! how to propagate the system, selection via RUN_TYPE in the &GLOBAL section
&MOTION
 &GEO_OPT
   OPTIMIZER BFGS ! Good choice for 'small' systems (use LBFGS for large systems)
   MAX_ITER  100
   MAX_DR    [bohr] 0.003 ! adjust target as needed
   &BFGS
   &END
 &END
 &MD
   ENSEMBLE NVT  ! sampling the canonical ensemble, accurate properties might need NVE
   TEMPERATURE [K] 300
   TIMESTEP [fs] 0.5
   STEPS 1000
   # GLE thermostat as generated at http://epfl-cosmo.github.io/gle4md 
   # GLE provides an effective NVT sampling.
   &THERMOSTAT
     REGION MASSIVE
     TYPE GLE
     &GLE
       NDIM 5
       A_SCALE [ps^-1] 1.00
       A_LIST    1.859575861256e+2   2.726385349840e-1   1.152610045461e+1  -3.641457826260e+1   2.317337581602e+2
       A_LIST   -2.780952471206e-1   8.595159180871e-5   7.218904801765e-1  -1.984453934386e-1   4.240925758342e-1
       A_LIST   -1.482580813121e+1  -7.218904801765e-1   1.359090212128e+0   5.149889628035e+0  -9.994926845099e+0
       A_LIST   -1.037218912688e+1   1.984453934386e-1  -5.149889628035e+0   2.666191089117e+1   1.150771549531e+1
       A_LIST    2.180134636042e+2  -4.240925758342e-1   9.994926845099e+0  -1.150771549531e+1   3.095839456559e+2
     &END GLE
   &END THERMOSTAT
 &END
  &PRINT
   &TRAJECTORY
     &EACH
       MD 1
     &END EACH
   &END TRAJECTORY
   &VELOCITIES OFF
   &END VELOCITIES
   &FORCES OFF
   &END FORCES
   &RESTART_HISTORY
     &EACH
       MD 500
     &END EACH
   &END RESTART_HISTORY
   &RESTART
     BACKUP_COPIES 3
     &EACH
       MD 1
     &END EACH
   &END RESTART
  &END PRINT
&END
&EXT_RESTART
  RESTART_FILE_NAME WATER-1.restart
&END
exercises/2016_summer_school/aimd.txt · Last modified: 2016/08/23 08:53 by ibethune