Nanoindentation in Nanoporous Silica: Multimillion-Atom Molecular Dynamics Simulations

ORAL

Abstract

Nanoporous silica is widely used in catalysis, chromatography, anticorrosion coatings, desalination membranes, and as drug delivery vehicles because it is easy to tune the size of pores and their morphologies and to functionalize pore surfaces with a variety of molecular moieties. We have performed multimillion-atom molecular dynamics simulations to examine the structural properties and mechanical behavior of nanoporous silica at various densities. The simulations are based on experimentally validated force field for silica. We have examined the pore size distribution, and calculated roughness exponents of pores to characterize pore morphologies. We have determined the scaling of elastic moduli, hardness and fracture toughness with porosity of nanoporous silica through nanoindentation simulations. Our calculated value of hardness (10.6 GPa) for amorphous silica at normal density agrees very well with the experimental value (10 GPa) [1].\\[4pt] [1] K. Nomura, Y. Chen, R. K. Kalia, A. Nakano and P. Vashishta, Appl Phys Lett \textbf{99} (11), 111906 (2011).

Authors

  • Adarsh Shekhar

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

  • Camilla Kirkemo

    University of Oslo, University of Oslo, Physics of Geological Processes

  • Anders Malthe-Sorenssen

    University of Oslo, University of Oslo, Physics of Geological Processes

  • Rajiv Kalia

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

  • Aiichiro Nakano

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

  • Priya Vashishta

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