Input, execution and output¶

Example¶

The AMS input has a special Engine block, that selects which engine is used for the simulation and also contains all the details of its configuration.

The following AMS input will optimize the geometry of a methane molecule and calculates its normal modes of vibration at the optimized geometry:

$AMSBIN/ams << EOF
   Task GeometryOptimization

   GeometryOptimization
      Convergence
         Gradients 1.0e-4
      End
   End

   Properties
      NormalModes true
   End

   System
      Atoms
         C       0.00000000       0.00000000       0.00000000
         H       0.63294000      -0.63294000      -0.63294000
         H      -0.63294000       0.63294000      -0.63294000
         H       0.63294000       0.63294000       0.63294000
         H      -0.63294000      -0.63294000       0.63294000
      End
   End

   Engine DFTB
       Model DFTB3
       ResourcesDir DFTB.org/3ob-3-1
   EndEngine
EOF

Note how DFTB is selected as the engine in the Engine DFTB line that opens the Engine block. All DFTB specific configuration is contained within this engine block, which is terminated by EndEngine. The fact that we want to run a geometry optimization with normal modes for methane and things like convergence criteria for the optimization are independent from which engine is actually used to perform this calculation. Therefore they are all found outside of the Engine block.

In this sense, the AMS input is split up into

• the driver level input (everything outside of the engine block), and

• the engine input, which is just a single Engine block.

This separation makes it easy to perform the same calculation at a different level of theory, by simply switching out the Engine block in the input. We could, for example, repeat the same calculation at the DFT-GGA level using the BAND engine:

Engine BAND
    XC
       GGA PBE
    End
EndEngine

Engines like ADF or BAND that have many options and can calculate many properties, consequently also have a large number of possible keywords in their input. The engine input options can be found in separate engine specific manuals.

This AMS driver manual only documents the driver level keywords outside of the Engine block.

In general all engines can be used with all tasks in AMS. There are only a few restrictions. For example, only engines which can handle periodic systems can be used for the calculation of phonons.

Tasks¶

The key Task is described in more detail in the section Structure, Reactivity, and Molecular Dynamics. The Task VibrationalAnalysis is described in more detail in the section Vibrational Spectroscopy (Mode Scanning, Mode Refinement, Mode Tracking, VG-FC Resonance Raman) and in the section Vibrationally resolved electronic spectra (VG-FC: Vertical Gradient Franck-Condon).

Below the possible arguments for Task are given.

Task [GCMC | GeometryOptimization | IRC | MolecularDynamics | NEB | PESExploration | PESScan | 
      Replay | SinglePoint | TransitionStateSearch | VibrationalAnalysis]

Properties¶

The block key Properties is described in more detail in the section Gradients, Hessian, Stress tensor, Elasticity, in the section Vibrational Spectroscopy, and in the section Dipole moment, Polarizability, Bond orders.

Below the possible Properties are summarized.

Properties
   BondOrders Yes/No
   Charges Yes/No
   DipoleGradients Yes/No
   DipoleMoment Yes/No
   ElasticTensor Yes/No
   GSES Yes/No
   Gradients Yes/No
   Hessian Yes/No
   Molecules Yes/No
   NormalModes Yes/No
   OrbitalsInfo Yes/No
   Other Yes/No
   PESPointCharacter Yes/No
   Phonons Yes/No
   Polarizability Yes/No
   Raman Yes/No
   SelectedRegionForHessian string
   StressTensor Yes/No
   VCD Yes/No
   VROA Yes/No
End

General remarks on input structure and parsing¶

• Most keys are optionals. Defaults values will be used for keys that are not specified in the input

• Keys/blocks can either be unique (i.e. they can appear in the input only once) or non-unique. (i.e. they can appear multiple times in the input)

• The order in which keys or blocks are specified in the input does not matter. Possible exceptions to this rule are a) the content of non-standard blocks b) some non-unique keys/blocks)

• Comments in the input file start with one of the following characters: #, !, :::

  # this is a comment
  ! this is also a comment
  :: yet another comment
  

• Empty lines are ignored

• The input parsing is case insensitive (except for string values):

  # this:
  UseSymmetry false
  # is equivalent to this:
  USESYMMETRY FALSE
  

• Indentation does not matter and multiple spaces are treaded as a single space (except for string values):

  # this:
       UseSymmetry     false
  # is equivalent to this:
  UseSymmetry false
  

• Environment variables in the input will be replaced by their value. We only support simple substitution of variables (optionally surrounded by {}). All other parameter expansion features of the POSIX shell (e.g. default values) are not supported. Expansion of a variable can be prevented by prefixing the leading dollar ($) with a backslash (\). Note that variables which are not set will expand to an empty string, just like in a shell:

  File $SOME_DIRECTORY/file.txt
  File ${SOME_DIRECTORY}_BACKUP/file.txt
  Key  \$WILL_NOT_EXPAND
  

Keys¶

Key-value pairs have the following structure:

KeyName Value

Possible types of keys:

bool key

The value is a single Boolean (logical) value. The value can be True (equivalently Yes) or False (equivalently No.). Not specifying any value is equivalent to specifying True. Example:

KeyName Yes

integer key

The value is a single integer number. Example:

KeyName 3

float key

The value is a single float number. For scientific notation, the E-notation is used (e.g. \(-2.5 \times 10^{-3}\) can be expressed as -2.5E-3). The decimal separator should be a dot (.), and not a comma (,). Example:

KeyName -2.5E-3

Note that fractions (of integers) can also be used:

KeyName 1/3    (equivalent to: 0.33333333333...)

string key

The value is a string, which can include white spaces. Only ASCII characters are allowed. Example:

KeyName Lorem ipsum dolor sit amet

multiple_choice key

The value should be a single word among the list options for that key (the options are listed in the documentation of the key). Example:

KeyName SomeOption

integer_list key

The value is list of integer numbers. Example:

KeyName 1 6 0 9 -10

Note that one can also specify ranges of integers by specifying the interval and (optionally) the step size separated by colons:

KeyName 1:5       (equivalent to: 1 2 3 4 5)
KeyName 2:10:2    (equivalent to: 2 4 6 8 10)
KeyName 20:10:-2  (equivalent to: 20 18 16 14 12 10)

Note also that ranges can be freely combined with individual numbers:

KeyName 1:5 10 20  (equivalent to: 1 2 3 4 5 10 20)

float_list key

The value is list of float numbers. The convention for float numbers is the same as for Float keys. Example:

KeyName 0.1 1.0E-2 1.3

Float lists can also be specified as a range with equidistant points, by specifying the interval’s boundaries (inclusive) as well as the number of desired subintervals separated by colons:

KeyName 1.0:1.5:5  (equivalent to: 1.0 1.1 1.2 1.3 1.4 1.5)

Range specifications can be freely combined with each other and single numbers:

KeyName 0.0 1.0:1.5:5 2.0:3.0:10

Blocks¶

Blocks give a hierarchical structure to the input, grouping together related keys (and possibly sub-blocks). In the input, blocks generally span multiple lines, and have the following structure:

BlockName
   KeyName1 value1
   KeyName2 value2
   ...
End

Headers

For some blocks it is possible (or necessary) to specify a header next to the block name:

BlockName someHeader
   KeyName1 value1
   KeyName2 value2
   ...
End

Compact notation

It is possible to specify multiple key-value pairs of a block on a single line using the following notation:

# This:
BlockName KeyName1=value1 KeyName2=value2

# is equivalent to this:
BlockName
   KeyName1 value1
   KeyName2 value2
End

Notes on compact notation:

• The compact notation cannot be used for blocks with headers.

• Spaces (blanks) between the key, the equal sign and the value are ignored. However, if a value itself needs to contain spaces (e.g. because it is a list, or a number followed by a unit), the entire value must be put in either single or double quotes:

  # This is OK:
  BlockName Key1=value Key2 = "5.6 [eV]" Key3='5 7 3 2'
  # ... and equivalent to:
  BlockName
     Key1  value
     Key2  5.6 [eV]
     Key3  5 7 3 2
  End
  
  # This is NOT OK:
  BlockName Key1=value Key2 = 5.6 [eV] Key3=5 7 3 2
  

Non-standard Blocks

A special type of block is the non-standard block. These blocks are used for parts of the input that do not follow the usual key-value paradigm.

A notable example of a non-standard block is the Atoms block (in which the atomic coordinates and atom types are defined).

Including an external file¶

You can include an external ASCII file in the input with the @include directive:

@include FileName.in
@include "file name with spaces.in"

The file name should include the path, either absolute or relative to the run-directory. The content of the file is included in the input at the point where the @include directive occurs. The @include directive may occur any number of times in the input.

The @include feature makes it easy to pack your preferred settings in one file and use them in every run with minimum input-typing effort.

Units¶

Some keys have a default unit associated (not all keys have units). For such keys, the default unit is mentioned in the key documentation. One can specify a different unit within square brackets at the end of the line:

KeyName value [unit]

For example, assuming the key EnergyThreshold has as default unit hartree, then the following definitions are equivalent:

# Use defaults unit:
EnergyThreshold 1.0

# use eV as unit:
EnergyThreshold 27.211 [eV]

# use kcal/mol as unit:
EnergyThreshold 627.5 [kcal/mol]

# hartree is the atomic unit of energy:
EnergyThreshold 1.0 [hartree]

Available units:

• Energy: hartree, joule, eV, kJ/mol, kcal/mol, cm1, MHz

• Forces: hartree/bohr, eV/bohr, hartree/angstrom, eV/angstrom, kcal/mol/angstrom, kJ/mol/angstrom

• Length: bohr, angstrom, meter

• Angles: radian, degree

• Mass: el, proton, atomic, kg

• Pressure: atm, pascal, GPa, a.u., bar, kbar

• Electric field: V/angstrom, V/meter, a.u.

Shell script¶

The AMS driver reads its input from standard input, i.e. what is called STDIN on Unix-like systems. Technically it is possible to run AMS and type the input file in interactively. This is however highly impractical and most people run AMS from a small shell script that contains the AMS text input and sends it directly to the AMS executable. For example, the content of the file ‘example.run’ could be like:

#!/bin/sh

$AMSBIN/ams << EOF

   ... AMS text input goes here:

   Block
      Keywork value
      OtherKeyword value
   End

EOF

The shell script ‘example.run’ needs be executable, if it isn’t you will need to make it executable, e.g. chmod u+x example.run. The ‘example.run’ file needs to be executed as a shell script, not as input to AMS.

./example.run > example.out

Python interface¶

There is a complete Python interface to AMS, which allows users to set up and run arbitrary AMS jobs, and to conveniently analyze the calculation results directly from Python. In this way AMS jobs can be automatized and complex multi-stage workflows implemented.

The scripting framework is called PLAMS as in “Python Library for Automating Molecular Simulation”, which conveniently can also be read as “Python Layer for AMS”. It is documented in a separate manual:

• PLAMS introduction

• Running AMS through PLAMS

Interactive input file¶

As of the 2021.1 version the AMS driver has the concept of an interactive input file. The interactive input file is a second input file, that users may create in the results directory of an already running job to interact with it. The name of the interactive input file is interactive.in. Note that the file does not exist by default, but has to be created by the user wanting to interact with the running AMS job.

In AMS2021.1 the interactive input file may be used to request the graceful and orderly termination of a job.

echo "Stop" > ams.results/interactive.in

Stop

Type:

Bool

Default value:

No

Description:

Makes the AMS driver stop execution in an ordered manner at the next opportunity. This will not interrupt the execution in the middle of the numerical calculation of a PES point property (e.g. a Hessian).

It is generally preferably to request the termination through the interactive input file over killing a job at the operating system level. This makes sure that the job stops at a logical point and still has time to write intermediate results to disk, making restarting from such jobs easier and more reliable. From the graphical user interface, the stopping can be requested in AMSjobs by selecting the running job and clicking Job → Request Early Stop in the menu bar.

As of AMS2021.1, the tasks that can be stopped through the interactive input file are:

• Molecular dynamics simulations will stop at the next sampling or checkpoint as if the maximum number of steps had been reached.

• Geometry optimizations will stop after the current iteration and be considered converged. This can be used if a geometry optimization does not make progress anymore, e.g. because the convergence thresholds are set tighter than the noise level of the used engine.

• Nudged elastic band calculations will stop after the current iteration (i.e. the calculations for all images) is complete.

• PES scans will interrupt the currently running geometry optimization and skip the optimization for all further PES points.

• PES explorations will terminate after the currently running expedition. No new explorers will be dispatched, but currently active explorers will be allowed to finish.

Note that the Stop keyword in the interactive input file will not interrupt the job in the middle of the numerical calculation of a PES point property, such as a Hessian or stress tensor. It will also never stop a job that is currently running an engine, and will hence not stop an engine that is calculating these properties analytically. It is possible to interrupt the numerical calculation of PES point properties using the StopProperties keyword. We advise users to be careful with this keyword and always combine it with the Stop keyword, as it is generally not possible to skip the evaluation of properties, but continue with a task as the AMS driver level. (After all, the driver may need the properties that we interrupt.)

echo "Stop" > ams.results/interactive.in
echo "StopProperties" >> ams.results/interactive.in

StopProperties

Type:

Bool

Default value:

No

Description:

Makes the AMS driver stop execution during the evaluation of PES point properties. This may for example be used to interrupt the numerical calculation of a Hessian. Note that this just works at the level of the loops used for the **numerical** calculation of the properties, so engines which calculate a property analytically may not be interruptible using this keyword. It is recommended to use this keyword in combination with the generic Stop keyword.

As of AMS2021.1 it is not possible to restart the calculation of properties that were interrupted like this. Hence the use of the StopProperties keyword is limited.

Running AMS on compute clusters¶

AMS is parallelized with MPI and can therefore be run in parallel on distributed memory machines, aka compute clusters. See the installation manual for general documentation on how to set up and run all the programs from the Amsterdam Modeling Suite on compute clusters. In this section we give some more advice that is specific to the AMS driver and its engines.

Normally users use the login node to prepare their jobs and input files somewhere in their home directory, and also want the results of their jobs to end up there. Quite often, compute clusters are set up such that the user’s home directory is also mounted on the compute nodes, usually via NFS (Network File System). Before the introduction of the AMS driver it was not recommended to cd to the home directory in the submission script and have the compute nodes execute the job directly there. This was simply due to the fact that a lot of file I/O was done on temporary files in the present working directory, which in this case would be on a slow network-mounted file system.

On the other hand, with AMS, switching to the home directory is the preferred way of running on a cluster where the home directory is mounted on the compute nodes. Running in the home directory mounted over NFS does not come with a performance penalty for AMS, but has many advantages. This is because AMS and its engines are already built under the assumption that access to this directory is slow. Basically there are three directories that are used by the AMS driver and its engines:

1. The starting directory, i.e. the present working directory at the time the AMS driver is started. This folder is generally read-only for AMS, except for creating the results directory there at the beginning of a calculation. Note that all relative paths in the AMS input, e.g. for loading results from previous calculations, are relative to the starting directory. The starting directory is assumed to be on a slow filesystem, but since data is normally only read once from there in the beginning of a calculation, this is in practice not a problem.

2. The results directory, where the results of a calculation as well as important intermediate steps (e.g. restart files) are collected. It also contains the log file which can be used to monitor a running calculations. The results directory is assumed to be on a slow filesystem, so AMS and its engines will be very careful not to do much disk I/O there. Generally something is only written to the results directory when AMS is sure that it should remain on disk when the calculation finishes. The results directory can also contain some intermediate restart files, so the contents of the result directory should be all that is needed in case the calculation crashes or is killed before it finishes normally.

3. The scratch directory, the location of which is set with the $SCM_TMPDIR environment variable, see also the installation manual. This directory should be put on a fast disk, e.g. an SSD in the compute node, as it will be used to store temporary results on disk. Users do not really need to care or know about the temporary files in the scratch directory. Normally, any files and directories created in the scratch directory are cleaned up at the end of the calculation. In case of errors, AMS tries to copy anything useful (e.g. the text output of all the different ranks) to the results directory in order to make finding the problem easier. However, for some kinds of crashes (or if the SIGKILL signal is sent to AMS), the cleanup of the scratch directory might not be performed, in which case users might want to manually check or remove the amstmp_* folders in the scratch directory.

With this setup there is no performance penalty for running directly on a network mounted home directory: Results will just be put there immediately, instead of being copied there at the end of a calculation.

Normally all batch systems provide an environment variable that is set to the directory from which the job was submitted, which is then where one should cd in the run script:

#!/bin/sh

if [ -z "$PBS_O_WORKDIR" ]; then
   # PBS batch system
   cd "$PBS_O_WORKDIR"
elif [ -z "$SLURM_SUBMIT_DIR" ]; then
   # Slurm batch system
   cd "$SLURM_SUBMIT_DIR"
elif [ -z "..." ]; then
   # add other batch systems as necessary ...
   cd "..."
fi

export AMS_JOBNAME=myJob

$AMSBIN/ams << EOF

   # Normal AMS text input, but with all paths
   # relative to where the job was submitted from, e.g.:
   LoadSystem previousJob.results/ams.rkf

EOF

With this runscript the AMS driver would make a myJob.results folder in the directory where the job was submitted from, and there is no need to copy results around manually in the run script. Furthermore this runscript always produces exactly the same files in the same locations, no matter if it is run interactively or submitted to a compute node through the batch system. Furthermore all paths in the input file can be specified relative to the location from where the runscript is submitted (normally the folder in which the runscript is located). This removes the need to copy or specify absolute paths to previous results, e.g. when restarting calculations. Finally, files useful for monitoring the running calculation are also conveniently there and not hidden somewhere on the compute node.

AMS environment variables¶

The behavior of AMS related to the output can be modified through a number of environment variables.

AMS_JOBNAME

Sets the name of a job. This name is used to determine the name of the results folder AMS creates, which is $AMS_JOBNAME.results or ams.results if this environment variable is not set.

AMS_RESULTSDIR

If this environment variable is set, instead of creating a new results folder, AMS will use the set directory as the results folder. Not that the directory set here will not be created by AMS and therefore has to exist before starting AMS. Note that this environment variable can be used to prevent AMS from creating result folders, by setting AMS_RESULTSDIR=.. This reproduces the pre-AMS behavior of putting all result files into the directory from which a job is started.

AMS_SWITCH_LOGFILE_AND_STDOUT

If this environment variable is set, AMS will redirect what is normally printed on standard output to a file (ams.out) in the results directory. Instead the contents of the log file (ams.log) will be printed to standard output while a job is running, allowing users to easily monitor the jobs progress. Note that the log file will still be created normally as if this environment variable was not set. This environment variable is just a convenience feature for users that would always redirect their output into a file and then use tail -f on the log file to monitor the running calculation.

This is an example run-script using the AMS_SWITCH_LOGFILE_AND_STDOUT and AMS_JOBNAME environment variables:

#!/bin/sh

# By setting AMS_SWITCH_LOGFILE_AND_STDOUT, the (more compact)
# logfile will be printed to standard output while the full
# text output of the calculation is redirected to the file
# ams.out in the ams results folder

export AMS_SWITCH_LOGFILE_AND_STDOUT=true

# By default ams creates a folder 'ams.results' and puts the
# results of the calculation there. If we set AMS_JOBNAME, the
# results folder will instead be called $AMS_JOBNAME.results
# (in this case, 'H2_optimization.results')

AMS_JOBNAME=H2_optimization $AMSBIN/ams <<eor
   System
      Atoms
         H 0 0 0
         H 0 0 1
      End
   End
   Task GeometryOptimization
   Engine DFTB
      Model GFN1-xTB
   EndEngine
eor

Results directory¶

Note that AMS does not put any of its binary output files and the ams.log file into the present working directory, as virtually all of the standalone programs in the suite did. Instead AMS creates a *.results directory, which collects all result file associated with a job. Here * is replaced by the jobname, which is set with the AMS_JOBNAME environment variable:

AMS_JOBNAME=methane $AMSBIN/ams << EOF

   ... see Input example before ...

EOF

This would put all results related to our geometry optimization of methane into the newly created folder methane.results. (The default name of the results folder is ams.results if AMS_JOBNAME is not set, see the environment variables section of this manual for documentation of all environment variables used by AMS.) In this way users can easily run multiple jobs in the same directory without danger of clashing output files, which was a common problem before the introduction of AMS. This new setup is also more consistent with the graphical user interface, which already collected all files associated with a specific job into a dedicated results directory. Note that AMS will by default not overwrite results directories if a job is rerun or another job is run with the same jobname.

Logfile ams.log¶

Inside of the results directory users will always find the logfile ams.log, which is written during a running calculation and can be used to monitor its progress.

The logfile ams.log is generated during the calculation and flushed after (almost) each message that is sent to it by the program. Consequently, the user can inspect it and see what is going on without being delayed by potentially large system I/O buffers. Each message contains date and time of the message plus additional info.

Be alert on error messages. Take them seriously: inspect the standard output carefully and try to understand what has gone wrong. Be also alert to warnings. They are not necessarily fatal but you should understand what they are about before being satisfied with the results of the calculation. Do not ignore them just because the program has not aborted: in some cases the program may not be able to determine whether or not you really want to do what appears to be wrong or suspicious. If you believe that the program displays erratic behavior, then the standard output file may contain more detailed information. Therefore, in such case save the complete standard output file, together with the logfile ams.log, in case we need these files for further analysis.

Binary output files¶

The results directory contains binary result files in the KF format, which can be opened and inspected with the KFbrowser GUI component. KF stands for Keyed File: KF files are keyword oriented, which makes them easy to process by simple procedures. KF files are Direct Access binary files.

• The main ams.rkf written by the AMS driver. It contains high level information about the trajectory that the AMS driver took over the potential energy surface. For a geometry optimization it would for example contains the history of how the systems geometry changed during the optimization as well as the final optimized geometry. For a molecular dynamics simulation it would contain the full trajectory. The format in which this information is written is independent from which engine was used for a calculation.

• The engine specific main binary output file written by the engine (and partly by the AMS driver). This file is kept for only one special point, e.g. the final geometry in a geometry optimization. The ADF engine writes adf.rkf (instead of TAPE21 in older versions). The BAND engine writes band.rkf (instead of RUNKF in older versions). The DFTB engine writes dftb.rkf. If a property, like vibrational modes, is tied to this special point on the potential energy surface, it is stored in this file. Also all engine specific properties are written to the main binary output file, like orbitals in case of a quantum mechanical engine.

  Table 1 Engine specific main binary output file¶

  Engine	main file
  ADF	adf.rkf
  BAND	band.rkf
  DFTB	dftb.rkf
  ForceField	forcefield.rkf
  MOPAC	mopac.rkf
  ReaxFF	reaxff.rkf
  External	external.rkf
  MLPotential	mlpotential.rkf
  ASE	ase.rkf
  QuantumEspresso	quantumespresso.rkf

• Additionally there might be an engine specific binary output file for every point on the potential energy surface that was visited during the calculation. Like the engine specific main binary output file they contain information tied to a specific point on the potential energy surface. These engine output files all have the extension .rkf, but their filename is usually somehow descriptive of the point on the PES that they correspond to. Note that one does not always get an engine output file for every PES point that was visited during the calculation. For most applications this would just be too much data.

• Other engine specific binary (and ASCII) output files written by the engine.

Having multiple different binary output files could be confusing for people that are used to the single result file that was written by the standalone programs in ADF<=2017. After all, it brings up the question in which file the desired property is stored. The general rule is: If the property is tied to a particular point on the potential energy surface, it is stored in the engine output file belonging to that particular point. This includes the Hessian, stress tensor, elastic tensor, normal modes of vibration, phonons, Raman intensities and other vibrational properties. If the information depends on the entire trajectory over the PES, it is found in the main ams.rkf written by the AMS driver.

Standard output¶

The standard ouput file contains in a human readable form part of the job characteristics and computational results produced by AMS and the Engine.

Optimized geometry in xyz format¶

In case of Geometry Optimizations, the optimized geometry is saved as an extended XYZ file in the results directory with the name output.xyz.

Note that the optimized geometry is also stored in the binary file ams.rkf and is printed to the standard output.

AMS as a pipe master¶

The AMS driver can play the role of a pipe master, allowing users to combine the features of the AMS driver with potentials implemented in external programs. Unlike a traditional external engine, the overhead introduced by the pipe interface is entirely negligible, because the external program is only started once at the beginning of the run and all communication is handled by an efficient binary protocol instead of text files. This mode is enabled by using Engine Pipe in the input for the master.

Engine Pipe
   WorkerCommand /path/to/pipe/worker
EndEngine

WorkerCommand

Type:

String

Description:

The command to execute to run the external worker. The command is executed in a subdirectory of the results directory.

All calculations requested by the driver will then be forwarded over the pipe to the worker for processing.

A Python module implementing the worker side of the AMSPipe protocol is available in scm.amspipe. To facilitate interfacing with various existing computational engines, this module provides the ASEPipeWorker class. This class can wrap any ASE calculator object and make it serve as a pipe worker.

calculator = ase.calculators.lj.LennardJones()
# calculator.parameters = …

engine = scm.amspipe.ASEPipeWorker(calculator=calculator)
engine.run()

AMS as a pipe worker¶

AMS can also serve as a pipe worker, allowing external drivers to take advantage of its engines. This mode is enabled by using Task Pipe. No Geometry, System definition is required on the input because the system will be supplied by the pipe master.

Additionally AMS can also be driven through the FlexMD library using AMSPipeForceJob:

forcejob = AMSPipeForceJob(mdmol)
forcejob.settings.engine = 'ReaxFF'
forcejob.settings.engineSettings = { 'ForceField': 'Glycine.ff' }