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Area of Science:

  • Condensed matter physics
  • Materials science
  • Physical chemistry

Background:

  • Amorphous ice phases are crucial components of water's complex structure.
  • Understanding these phases is key to comprehending water's behavior under various conditions.
  • Polyamorphism in water involves transitions between different amorphous states.

Purpose of the Study:

  • To investigate the polyamorphic nature of water, focusing on low-density amorphous ice (LDA), high-density amorphous ice (HDA), and medium-density amorphous ice (MDA).
  • To characterize local oxygen environments in amorphous ice using advanced order parameters.
  • To assess the distinctiveness of MDA within the amorphous ice structural landscape.

Main Methods:

  • Utilized rotationally invariant, high-dimensional order parameters to describe local symmetries.
  • Employed a neural network for classifying local oxygen environments.
  • Analyzed structural similarities and differences between amorphous ice phases.

Main Results:

  • Developed a method to characterize local environments in amorphous ice.
  • Identified significant structural similarities between MDA and LDA.
  • Highlighted the challenge in differentiating MDA from LDA based on current structural analysis.

Conclusions:

  • The structural landscape of amorphous ice is complex, with subtle differences between phases.
  • Current methods face challenges in definitively distinguishing MDA from LDA.
  • The developed methodology offers potential for analyzing other disordered materials.