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Session 6: Novel Modeling of amorphous materials



There have been new approaches to more realistically model glasses and amorphous materials.

  • Machine learning to obtain efficient and accurate interatomic potentials
  • Methods to include experimental information in the process of computer modeling
  • Methods to computationally design materials with preferred structural, optical, or electronic properties
  • Methods to efficiently explore configuration space



David Drabold, Ohio University

Parthapratim Biswas, University of Southern Mississippi

Jaakko Akola, Tampere University, Finland

R. O. Jones, Forschungszentrum J├╝lich, Germany



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