Structure determination from theory and experiments

ORAL

Abstract

The atomistic structure determines the stability and properties of a material and its potential applications. We develop the software tools Ingrained and FANTASTX (Fully Automated Nanoscale To Atomistic Structure from Theory and eXperiments) to determine atomistic structures from experimental data with the help of theory and machine learning. The ingrained software [1] constructs a grain boundary structure or validates a surface structure based on experimental STEM or STM images, respectively. We will show examples of grain boundary structures created using Ingrained which are used as starting points for further analysis. This provides a path to understand complex mechanisms from characterization data. We demonstrate the utility of Ingrained which was used to successfully determine the surface structure of hydrogenated borophene [2].  FANTASTX is a multi-objective genetic algorithm tool that helps to find the thermodynamically or kinetically stabilized structures observed experimentally. We will discuss the use of FANTASTX to determine interfacial and grain boundary atomistic structures from DFT and STEM images.

 

[1] arXiv:2105.10532, https://github.com/MaterialEyes/ingrained-lite

[2] Science 371, 1143 (2021)

*This work is supported by the U.S. Department of Energy (DOE) Office of Science Scientific User Facilities AI/ML project titled, "A Digital Twin for Spatiotemporally Resolved Experiments." M.C. acknowledges the support from the BES SUFD Early Career award. Use of the Center for Nanoscale Materials, an Office of Science user facility, was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Contract No. DE-AC02-06CH11357.

Publication: [1] Schwenker, E., Kolluru, V.S.C, Guo, J., Hu, X., Li, Q., Hersam, M.C., Dravid, V.P., Klie, R.F., Guest, J.R. and Chan, M.K., 2021. Ingrained--An automated framework for fusing atomic-scale image simulations into experiments. arXiv preprint arXiv:2105.10532.
[2] Li, Q., Kolluru, V.S.C., Rahn, M.S., Schwenker, E., Li, S., Hennig, R.G., Darancet, P., Chan, M.K. and Hersam, M.C., 2021. Synthesis of borophane polymorphs through hydrogenation of borophene. Science, 371(6534), pp.1143-1148.

Presenters

  • Venkata Surya Chaitanya Kolluru

    • Argonne National Laboratory

Authors

  • Venkata Surya Chaitanya Kolluru

    • Argonne National Laboratory
  • Eric Schwenker

    • Argonne National Laboratory
  • Davis G Unruh

    • Argonne National Laboratory
  • Maria K Chan

    • Argonne National Laboratory