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A Review of Global Optimization Methods for Molecular Structures: Algorithms, Applications and Perspectives.

Jorge Alberto Sanchez Alvarez1, Patrizia Calaminici1

  • 1Chemistry Department, CINVESTAV, Mexico City, Mexico.

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PubMed
Summary
This summary is machine-generated.

Global optimization techniques are crucial for predicting chemical structures like conformations and crystal polymorphs. This review details stochastic and deterministic methods, their applications, and future directions in computational chemistry.

Keywords:
algorithms for exploring potential energy surfacesdeterministic methodglobal optimization methodsmolecular structuresstochastic method

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Area of Science:

  • Computational Chemistry
  • Chemical Physics

Background:

  • Predicting chemical structures is vital for understanding molecular behavior.
  • Global optimization methods offer a systematic approach to explore potential structures.

Purpose of the Study:

  • To provide a comprehensive review of global optimization techniques for chemical structure prediction.
  • To discuss the historical development, current methodologies, and future trends in this field.

Main Methods:

  • Categorization of global optimization methods into stochastic and deterministic approaches.
  • Overview of algorithmic frameworks, software tools, and applications.
  • Examination of techniques for molecular conformations, crystal polymorphs, and reaction pathways.

Main Results:

  • Detailed explanation of the two-step process: global search followed by local refinement.
  • Discussion of representative applications including conformer sampling and surface adsorption.
  • Historical perspective on the evolution of global optimization algorithms.

Conclusions:

  • Integration of quantum methods and development of hybrid algorithms are key future directions.
  • Quantum computing holds potential for tackling complex chemical prediction problems.
  • Continued advancement in global optimization is essential for progress in chemical sciences.