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Fundamental measure theory for predicting many-body correlation functions.

Ilian Pihlajamaa1, Teunike A van de Pol1, Liesbeth M C Janssen1,2

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Fundamental Measure Theory (FMT) accurately models many-body correlations in hard-sphere fluids. It simplifies complex four-point correlations and captures structural changes in supercooled liquids.

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Area of Science:

  • Statistical Mechanics
  • Soft Matter Physics
  • Computational Physics

Background:

  • Understanding many-body correlation functions is crucial for describing the behavior of fluids.
  • Fundamental Measure Theory (FMT) provides a framework for studying these correlations.
  • Comparing theoretical predictions with simulation data is essential for validating models.

Purpose of the Study:

  • To evaluate the accuracy of various Fundamental Measure Theory (FMT) formulations in predicting many-body correlation functions.
  • To compare FMT predictions with Monte Carlo simulations of hard-sphere fluids.
  • To investigate the contributions to four-point structure factors and their simplification.

Main Methods:

  • Application of different Fundamental Measure Theory (FMT) formulations.
  • Performing Monte Carlo simulations of hard-sphere fluids.
  • Analysis of three- and four-body structure factors and correlation functions.

Main Results:

  • FMT accurately captures qualitative behavior of three- and four-body structures, especially at low/intermediate wave vectors.
  • Quantitative accuracy of FMT varies at higher wave vectors.
  • Dominant contributions to the four-point structure factor stem from direct triplet correlations, simplifying calculations.
  • FMT reproduces deviations from convolution approximation in glass-forming liquids, indicating its ability to capture growing multipoint correlations.

Conclusions:

  • Fundamental Measure Theory (FMT) is a valuable tool for studying many-body correlations in fluids.
  • FMT's ability to simplify four-point correlation calculations and capture supercooling effects is significant.
  • Further refinement of FMT may improve quantitative accuracy at higher wave vectors.