OVERVIEW

PyFrag 2019

PyFrag 2019

The PyFrag 2019 program (see also SCM's website) is designed to facilitate the analysis of reaction mechanisms in a more efficient and user-friendly way. It facilitates the characterization of reaction mechanisms in terms of the intrinsic properties, such as strain and interaction, of the reactants. This approach is routinely applied in the TheoCheM Group to understand numerous organic, inorganic, and biomolecular reactions/processes.

FEATURES

PyFrag 2019 reduces time-consuming laborious tasks and automates running, analyzing, and visualizing computational data

PyFrag 2019 reduces time-consuming laborious tasks and automates running, analyzing, and visualizing computational data

Automation

Management of multiple parallel calculations to automatically find a reaction path

Visualization

Monitoring of the entire computational process along with the extraction and plotting of relevant information from large amounts of data

Analysis

Analysis and presentation of these data in a clear and informative way

INFORMATION

Insights you can uncover

The activation strain and canonical energy decomposition analysis results that are generated relate the characteristics of the potential energy surface in terms of intrinsic properties of the fragment species:

Bond energies

Strain energies

Interaction energies

EDA terms

Orbital overlaps

Orbital energies

Gross populations

Voronoi Deformation Density charges

COMPATIBILITY

One Analysis Platform, Multiple Engines

Whether your calculations are performed with ADF, ORCA, Gaussian, or TURBOMOLE, PyFrag 2019 provides a unified framework for extracting detailed chemical insights.

REQUIRED CITATIONS

How to Cite PyFrag 2019

Using PyFrag 2019 in your research? Please reference the publications below in any resulting articles, reports, theses, or presentations.

X. Sun, T. M. Soini, J. Poater, T. A. Hamlin, F. M. Bickelhaupt

X. Sun, T. M. Soini, J. Poater, T. A. Hamlin, F. M. Bickelhaupt

PyFrag 2019 — Automating the Exploration and Analysis of Reaction Mechanisms

PyFrag 2019 — Automating the Exploration and Analysis of Reaction Mechanisms

J. Comput. Chem.

J. Comput. Chem.

2019

2019

,

,

40

40

,

,

2227-2233

2227-2233

W.-J. van Zeist, C. Fonseca Guerra, F. M. Bickelhaupt

W.-J. van Zeist, C. Fonseca Guerra, F. M. Bickelhaupt

PyFrag – Streamlining Your Reaction Path Analysis

PyFrag – Streamlining Your Reaction Path Analysis

J. Comput. Chem.

J. Comput. Chem.

2008

2008

,

,

29

29

,

,

312-315

312-315

X. Sun, T. Soini, L. P. Wolters, W.-J. van Zeist, C. Fonseca Guerra, T. A. Hamlin, F. M. Bickelhaupt

X. Sun, T. Soini, L. P. Wolters, W.-J. van Zeist, C. Fonseca Guerra, T. A. Hamlin, F. M. Bickelhaupt

PyFrag 2007-2020

PyFrag 2007-2020

Vrije Universiteit Amsterdam, The Netherlands

Vrije Universiteit Amsterdam, The Netherlands