CatMAP

CatMAP is a software package for thermodynamic and kinetic modeling of catalytic reactions. It allows users to create microkinetic models based on DFT-calculated energies. CatMAP automates the solution of the mean-field rate equations to…

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Overview

CatMAP is a software package for thermodynamic and kinetic modeling of catalytic reactions. It allows users to create microkinetic models based on DFT-calculated energies. CatMAP automates the solution of the mean-field rate equations to predict turnover frequencies (TOF), coverages, and reaction rates as a function of temperature and pressure.

Reference Papers (1)

Full Documentation

Official Resources

  • Homepage: https://catmap.readthedocs.io/
  • Documentation: https://catmap.readthedocs.io/
  • Source Repository: https://github.com/SUNCAT-Center/CatMAP
  • License: GPL v3

Overview

CatMAP is a software package for thermodynamic and kinetic modeling of catalytic reactions. It allows users to create microkinetic models based on DFT-calculated energies. CatMAP automates the solution of the mean-field rate equations to predict turnover frequencies (TOF), coverages, and reaction rates as a function of temperature and pressure.

Scientific domain: Heterogeneous catalysis, microkinetic modeling
Target user community: Catalysis researchers

Capabilities (CRITICAL)

  • Microkinetics: Solves steady-state rate equations.
  • Scaling Relations: Uses linear scaling relations/BEP relations to estimate energies across materials.
  • Parser: Reads energy inputs from text files (table format).
  • Analysis: Rate control analysis, degree of rate control, coverage maps.
  • Phase Diagrams: Surface coverage phase diagrams.

Sources: CatMAP documentation, Comp. Phys. Comm. 204, 206 (2016)

Inputs & Outputs

  • Input formats: Python setup script, energy table (txt)
  • Output data types: Rates, coverages, plots

Interfaces & Ecosystem

  • ASE: Used for some thermodynamic utilities.
  • Matplotlib: For plotting results.

Workflow and Usage

  1. Define reaction mechanism (elementary steps).
  2. Provide formation energies of intermediates (from DFT).
  3. model = ReactionModel(setup_file='setup.mkm')
  4. model.run()
  5. Analyze TOF vs T/P.

Performance Characteristics

  • Fast solution of algebraic/differential equations.
  • Bottleneck is usually gathering DFT data.

Application Areas

  • Catalyst screening
  • Understanding reaction mechanisms
  • Volcano plots

Community and Support

  • Developed by SUNCAT (Stanford/SLAC)
  • Active user base in catalysis

Verification & Sources

Primary sources:

  1. GitHub: https://github.com/SUNCAT-Center/CatMAP
  2. Publication: A. J. Medford et al., Comp. Phys. Comm. 204, 206 (2016)

Confidence: VERIFIED

Verification status: ✅ VERIFIED

  • Website: ACTIVE
  • Documentation: COMPREHENSIVE
  • Source: OPEN (GitHub)
  • Development: ACTIVE
  • Applications: Microkinetic modeling, catalysis

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