Neural Network Molecular Dynamics of SiSe<sub>2 </sub>

POSTER

Abstract

The structures of SixSe1-x, glasses with 0.0 < x < 0.40 have been investigated with neutron diffraction and Se K-edge extended X-ray absorption fine-structure measurements. Neural network MD (NNAIMD) is an emerging approach to study large-scale atomistic systems
with quantum mechanics accuracy. In this study, I will discuss the development of NNAIMD force
field to study SiSe2, along with simulation results on complex dynamics using it.

*This work was supported as part of the Computational Materials Sciences
Program funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, under Award
Number DE-SC0014607.

Presenters

  • Nitish Baradwaj

    • Univ of Southern California

Authors

  • Nitish Baradwaj

    • Univ of Southern California
  • Aravind Krishnamoorthy

    • Collaboratory for Advanced Computing and Simulations, University of Southern California
    • Univ of Southern California
  • Ken-ichi Nomura

    • Collaboratory for Advanced Computing and Simulations, University of Southern California
    • Univ of Southern California
  • Aiichiro Nakano

    • Collaboratory for Advanced Computing and Simulations, University of Southern California
    • Univ of Southern California
  • Rajiv K Kalia

    • Collaboratory for Advanced Computing and Simulations, University of Southern California
    • Univ of Southern California
  • Priya Vashishta

    • Collaboratory for Advanced Computing and Simulations, University of Southern California
    • Univ of Southern California