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An algorithm to filter out packing arrangements based on steric clashes.

Bohdan Koudelka1, Pavla Capkova

  • 1Department of Chemical Physics and Optics, Faculty of Mathematics and Physics, Charles University Prague, Ke Karlovu 3, 121 16 2 Prague, Czech Republic. koudelka@mbox.troja.mff.cuni.cz

Journal of Molecular Modeling
|October 1, 2003
PubMed
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This study introduces an efficient algorithm for crystal structure prediction, significantly reducing computational load by filtering impossible arrangements using steric clash analysis. This method accelerates the discovery of optimal crystal packing models.

Area of Science:

  • Computational chemistry
  • Crystallography
  • Materials science

Background:

  • Crystal structure prediction is computationally intensive.
  • Exhaustive searches are often infeasible due to the vast search space.
  • Steric clashes are a primary factor in determining valid crystal arrangements.

Purpose of the Study:

  • To develop an efficient algorithm for filtering impossible crystal-packing arrangements.
  • To reduce the computational cost of crystal structure prediction.
  • To identify promising regions in the state space for locating the global energy minimum.

Main Methods:

  • Utilizes an algorithm based on steric considerations to filter crystal-packing arrangements.
  • Analyzes spherical areas for potential atom-pair clashes between rigid units.

Related Experiment Videos

  • Reduces the search space within an exhaustive grid search framework.
  • Implements the method within the SUPRAMOL program.

    • Main Results:

    • Significantly reduces the number of atom-pair distances that need to be tested per state.
    • Enables testing of 10^12-10^15 models within hours or days on modern computers.
    • Successfully implemented in the SUPRAMOL program for practical application.
    • Demonstrates a substantial decrease in computational requirements compared to traditional methods.

    Conclusions:

    • The developed algorithm efficiently filters impossible crystal structures based on steric constraints.
    • This approach accelerates the process of finding energetically favorable crystal packing.
    • The method offers a computationally tractable solution for complex crystal structure prediction problems.