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Molecular Analysis Workflow

Direct command workflow for molecular analysis tasks.

This module implements CLI workflow orchestration for its command family, including argument parsing, request construction, execution dispatch, and result presentation handoff.

Usage context

  • Command routing: Resolve CLI aliases and normalized command names.
  • Task execution: Build request objects and invoke registered tasks.
  • Output handling: Forward results to table, plot, export, or report flows.

Command: get_dominant_species

Return dominant molecular species for selected frames. This command ranks species by frequency per frame and can return multiple top ranks, with optional frequency threshold filtering.

Examples


  1. Export top 3 species per frame:
   reaxkit get_dominant_species --top-n 3 --export dominant_species.csv

  2. Analyze selected frames with minimum frequency and plot:
   reaxkit get_dominant_species --frames 0 10 20 --min-freq 2 --plot single

  3. Use frame stride and iteration axis in saved figure:
   reaxkit get_dominant_species --every 5 --xaxis iter --save dominant_species.png

Arguments

Flag Required Default Help Choices
--top-n No 1 Number of ranked species per frame. Example: --top-n 3, which returns first/second/third dominant species.
--min-freq No 0.0 Minimum species frequency to include. Example: --min-freq 2, which filters out low-frequency species.

The figure below shows an example CSV output for the top 2 dominant species across a simulation.

get_dominant_species

Figure: Sample CSV output for the top 2 dominant species across a simulation.

Command: get_largest_molecule_by_mass

Return the heaviest molecular species for selected frames. Use this command to track how the maximum molecular mass evolves over trajectory frames.

Examples


  1. Export largest-mass species table:
   reaxkit get_largest_molecule_by_mass --export largest_mass.csv

  2. Plot largest-mass trend on selected frames:
   reaxkit get_largest_molecule_by_mass --frames 0 20 40 --plot single

  3. Subsample frames and save iteration-axis plot:
   reaxkit get_largest_molecule_by_mass --every 10 --xaxis iter --save largest_mass.png

Arguments

No command-specific arguments found.

Command: get_largest_molecule_composition

Return elemental composition of the heaviest molecular species per frame. This command reports element counts for the dominant-by-mass molecule in each frame, which helps track composition shifts over time.

Examples


  1. Export composition table:
   reaxkit get_largest_molecule_composition --export composition.csv

  2. Plot selected frames with subplot layout:
   reaxkit get_largest_molecule_composition --frames 0 10 20 --plot subplot

  3. Subsample frames and save iteration-axis plot:
   reaxkit get_largest_molecule_composition --every 5 --xaxis iter --save composition.png

Arguments

No command-specific arguments found.

Command: get_molecule_lifetime

Compute lifetimes of molecular species across selected frames. You can restrict to target formulas and filter by minimum activity frequency before lifetime statistics are reported.

Examples


  1. Compute lifetimes for selected molecules and export:
   reaxkit get_molecule_lifetime --molecules H2O OH --export lifetimes.csv

  2. Compute and plot lifetimes for all detected molecules:
   reaxkit get_molecule_lifetime --plot single

  3. Apply frequency threshold on selected frames and save plot:
   reaxkit get_molecule_lifetime --min-freq 2 --frames 0 50 100 --save molecule_lifetimes.png

Arguments

Flag Required Default Help Choices
--molecules No Restrict to selected molecular formulae. Example: --molecules H2O OH, which limits analysis to water and hydroxyl.
--min-freq No 1.0 Minimum frequency for an active molecule. Example: --min-freq 2, which treats only sufficiently frequent molecules as active.

The figure below shows an example CSV output for the lifetime of OH. This table shows during which OH was available, so cycles of OH generation can be detected.

get_molecule_lifetime

Figure: Sample CSV output for the lifetime of a molecule.

Common Runtime and Presentation Arguments

These are shared workflow-level CLI flags added before command-specific options, covering runtime context (engine/input/storage) and output presentation/export behavior.

Flag Required Default Help Choices
--engine No Engine override. Example: --engine reaxff, which forces ReaxFF parser/loader behavior. reaxff, ams, lammps
--input No . Input file or directory for engine resolution. Example: --input runs/job1, which sets data-loading context.
--run-dir, --dir No . Run directory fallback for engine detection. Example: --run-dir runs/job1, which acts as backup lookup path.
--molfra, --file No molfra.out Molecular analysis file path. Example: --molfra molfra.out, which reads species-frequency data from that file.
--log No Logging level. Example: --log verbose, which prints more runtime details. verbose, quiet
--run-id No Run identifier for run-scoped layout (e.g., run_91ac0e).
--project-root No Project root that contains inputs/, data/, analysis/, etc.
--analysis-id No Optional analysis artifact id; defaults to run id.
--plot No Render a plot. Example: --plot single, which draws one combined chart. single, subplot
--show No Show the generated plot window. Example: --show, which opens the plot interactively.
--save No Save the generated plot to a file path. Example: --save dominant_species.png, which writes the figure image.
--export No Write the result table to CSV. Example: --export dominant_species.csv, which saves tabular output.
--grid No Subplot grid like 2x2 or 2*2. Example: --grid 2x2, which arranges subplots in a 2-by-2 layout.
--xaxis No frame Quantity on x-axis. Example: --xaxis iter, which uses iteration values on horizontal axis. frame, iter
--frames No Frame selector syntax. Example: --frames 0:20:2, which selects frames 0,2,4,...,20.
--every No 1 Frame stride. Example: --every 5, which keeps every fifth selected frame.