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🔗 Source: matsail.org
📊 Size: 2.79 MB
👤 Author: Pankaj Rajak, Nitish Baradwaj, Ken-ichi Nomura, Aravind Krishnamoorthy, Jose P. Rino, Kohei Shimamur
⬇️ Downloads: 88

Summary

Researchers used neural network quantum molecular dynamics (NNQMD) to study intermediate range order in GeSe2 glass and melt, achieving quantitative comparison with neutron scattering data. NNQMD combines machine learning with quantum molecular dynamics to simulate large systems with quantum mechanical accuracy. The study found that the first sharp diffraction peak (FSDP) in neutron scattering experiments is related to the ring structure of GeSe2, with 2-, 3-, 8-, and 9-fold rings present in the crystalline phase. The results provide insight into the origin of intermediate range order in glassy and molten states, and demonstrate the potential of NNQMD for analyzing neutron scattering data.

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Researchers used neural network quantum molecular dynamics (NNQMD) to study intermediate range order in GeSe2 glass and melt, achieving quantitative comparison...

Technical Information

  • File Format: PDF
  • File Size: 2.79 MB
  • Pages: 9
  • Language: EN
  • Author: Pankaj Rajak, Nitish Baradwaj, Ken-ichi Nomura, Aravind Krishnamoorthy, Jose P. Rino, Kohei Shimamur
  • Total Downloads: 88
  • Last Updated: 16 hours ago

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