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Determination of Crystal Structures01:29

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Related Experiment Video

Updated: Mar 16, 2026

Crystallization and Structural Determination of an Enzyme:Substrate Complex by Serial Crystallography in a Versatile Microfluidic Chip
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Crystal structure prediction of rigid molecules.

Dennis M Elking1, Laszlo Fusti-Molnar1, Anthony Nichols1

  • 1Openeye Scientific Software, 9 Bisbee Ct, Suite D, Santa Fe, NM 87508, USA.

Acta Crystallographica Section B, Structural Science, Crystal Engineering and Materials
|August 4, 2016
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Summary

A new non-polarizable force field accurately predicts crystal structures using atomic multipoles. This method optimizes unit cells and efficiently searches for the correct experimental crystal structure, improving crystal structure prediction.

Keywords:
crystal structure predictionforce fieldmultipole

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Area of Science:

  • Computational chemistry
  • Materials science
  • Crystallography

Background:

  • Accurate prediction of crystal structures is crucial for understanding material properties.
  • Existing force fields often struggle to balance accuracy and computational efficiency for crystal structure prediction.
  • Developing robust methods for unit-cell optimization and crystal structure searching is an ongoing challenge.

Purpose of the Study:

  • To introduce a novel non-polarizable force field based on atomic multipoles for crystal structure prediction.
  • To develop and validate methods for unit-cell optimization and crystal structure generation.
  • To assess the efficiency and accuracy of the developed force field and algorithms in predicting experimental crystal structures.

Main Methods:

  • A non-polarizable force field was developed using atomic multipoles, fitted to experimental crystal properties and ab initio gas-phase dimer data.
  • The Ewald summation method was employed for calculating long-range electrostatic and dispersion energies in crystals.
  • A space-group symmetry constraint was implemented for unit-cell optimization, alongside an algorithm for random crystal generation.

Main Results:

  • The force field successfully reproduced experimental crystal properties and accurately calculated dispersion energies.
  • Unit-cell optimization was performed on 4427 unit cells, with detailed results for flexible and rigid molecule optimizations.
  • An average of X random crystals were needed to find the correct experimental structure for 2440 rigid single-component crystals, with the correct structure consistently ranked highly by the force field energy.

Conclusions:

  • The developed force field and associated algorithms provide a powerful tool for accurate and efficient crystal structure prediction.
  • The study demonstrates the feasibility of predicting crystal structures by searching over probable space groups.
  • This work advances the field of computational crystallography and aids in the discovery of new materials.