English

Building Maps in Collective Variable Space

Computational Physics 2018-08-31 v2 Statistical Mechanics Chemical Physics

Abstract

Enhanced sampling techniques such as umbrella sampling and metadynamics are now routinely used to provide information on how the thermodynamic potential, or free energy, depends on a small number of collective variables. The free energy surfaces that one extracts by using these techniques provide a simplified or coarse-grained representation of the configurational ensemble. In this work we discuss how auxiliary variables can be mapped in collective variable (CV) space and how the dependence of the average value of a function of the atomic coordinates on the value of a small number of CVs can thus be visualised. We show that these maps allow one to analyse both the physics of the molecular system under investigation and the quality of the reduced representation of the system that is encoded in a set of CVs. We apply this approach to analyse the degeneracy of CVs and to compute entropy and enthalpy surfaces in CV space both for conformational transitions in alanine dipeptide and for phase transitions in carbon dioxide molecular crystals under pressure.

Keywords

Cite

@article{arxiv.1803.01093,
  title  = {Building Maps in Collective Variable Space},
  author = {Ilaria Gimondi and Gareth A. Tribello and Matteo Salvalaglio},
  journal= {arXiv preprint arXiv:1803.01093},
  year   = {2018}
}

Comments

13 pages, 8 figures

R2 v1 2026-06-23T00:40:28.428Z