Special Session 9
COMPUTATIONAL/THEORETICAL MODELING OF DIFFUSION KINETICS IN MATERIALS (SS9)

Traditionally diffusion has been investigated mainly via experiment. In recent years, computational modeling has shown strong power in the prediction of diffusion in various materials, particularly with the development of density functional theory and the machine learning techniques. Other simulation methods such as CALPHAD and phasefield modeling are developing fast for modeling diffusion. Thus, this session focuses on the latest developments in diffusion modeling and simulation.

Diffusion simulation techniques (but not be limited to):

  • Density functional theory
  • Molecular dynamics
  • Theoretical/phenomelogical models
  • CALPHAD
  • Phase-field models
  • Machine learning techniques

PUBLICATION:

  • Prof. Zi-Kui Liu
    Prof. Zi-Kui Liu Pennsylvania State University,
    USA
  • Prof. Jörg Neugebauer
    Prof. Jörg Neugebauer MPI-SusMat,
    Germany
  • Dr. Chu-Chun Fu
    Dr. Chu-Chun Fu CEA-Saclay,
    France
  • Prof. Shigenobu Ogata
    Prof. Shigenobu Ogata Osaka University,
    Japan
  • Prof. Fei Gao
    Prof. Fei Gao University of Michigan,
    USA
  • Prof. Anirudh Natarajan
    Prof. Anirudh Natarajan EPFL,
    Switzerland
  • Prof. Yuwen Cui
    Prof. Yuwen Cui Nanjing Tech University,
    China