GMIN

GMIN is a program for finding global minima of potential energy surfaces, developed by the Wales Group at the University of Cambridge. It implements the basin-hopping algorithm (and variants) to locate the lowest energy structures of clu…

7. STRUCTURE PREDICTION 7.2 Basin Hopping & Local Optimization VERIFIED 1 paper
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Overview

GMIN is a program for finding global minima of potential energy surfaces, developed by the Wales Group at the University of Cambridge. It implements the basin-hopping algorithm (and variants) to locate the lowest energy structures of clusters and molecules. It is a reference implementation for basin-hopping methods.

Reference Papers (1)

Full Documentation

Official Resources

  • Homepage: http://www-wales.ch.cam.ac.uk/GMIN/
  • Documentation: http://www-wales.ch.cam.ac.uk/GMIN/doc/
  • Source Repository: Distributed via website (Academic license)
  • License: Academic License

Overview

GMIN is a program for finding global minima of potential energy surfaces, developed by the Wales Group at the University of Cambridge. It implements the basin-hopping algorithm (and variants) to locate the lowest energy structures of clusters and molecules. It is a reference implementation for basin-hopping methods.

Scientific domain: Global optimization, cluster physics, energy landscapes
Target user community: Physical chemists, cluster researchers

Theoretical Methods

  • Basin-Hopping (Monte Carlo Minimization)
  • Parallel Tempering
  • Genetic Algorithms
  • Euclidean transformation coordinates
  • Global optimization

Capabilities (CRITICAL)

  • Finding global minima of clusters (Lennard-Jones, Morse, etc.)
  • Optimization of biomolecules (with appropriate potentials)
  • Interface with various empirical potentials
  • Rigorous global optimization workflows

Sources: Wales Group website

Inputs & Outputs

  • Input formats: Control file (keywords), coordinates
  • Output data types: Lowest minima, database of structures

Interfaces & Ecosystem

  • Potentials: Built-in empirical potentials, interface to AMBER/CHARMM
  • OPTIM/PATHSAMPLE: Companion codes for transition states and pathways

Performance Characteristics

  • Highly efficient for cluster optimization
  • Parallelized basin-hopping

Application Areas

  • Cluster structure prediction
  • Protein folding landscapes
  • Molecular conformation

Community and Support

  • David Wales Group (Cambridge)
  • Academic user base

Verification & Sources

Primary sources:

  1. Homepage: http://www-wales.ch.cam.ac.uk/GMIN/

Confidence: VERIFIED

Verification status: ✅ VERIFIED

  • Website: ACTIVE
  • Documentation: AVAILABLE
  • Source: ACADEMIC
  • Development: ACTIVE (Wales Group)
  • Applications: Global optimization, basin hopping, clusters

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