4.7 Article

Force field for calcium sulfate minerals to predict structural, hydration, and interfacial properties

Journal

CEMENT AND CONCRETE RESEARCH
Volume 139, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cemconres.2020.106262

Keywords

Calcium sulfate; Force field; Surface energy; Hydration; Interfaces

Funding

  1. ETH Zurich Foundation
  2. Sika Technology AG
  3. National Science Foundation [DMREF 1623947, CBET 1530790, OAC 1931587, CMMI 1940335]
  4. Swiss Commission for Technological Innovation [KTI 15846.1 PFIW-IW]
  5. Swiss Competence Center for Energy Research - Supply of Electricity (SCCER-SoE)
  6. University of Akron
  7. University of Colorado Boulder

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The article introduces an atomistic force field for all calcium sulfate phases that performs well in reproducing a wide range of experimental data and outperforms prior force fields and DFT methods. It provides new insights into (hkl) cleavage energies, water interface dynamics, and crystal-facet specific hydration and solubility, showing impressive agreement between computed and experimentally measured hydration energies.
Calcium sulfates such as anhydrite, hemihydrate, and gypsum find widespread use in building materials, implants, and tissue healing. We introduce a simple and compatible atomistic force field for all calcium sulfate phases that reproduces a wide range of experimental data including lattice parameters, surface, hydration, mechanical, and thermal properties in 1% to 5% accuracy relative to experiments. The performance is several times better than prior force fields and DFT methods, which lead to errors in structures and energies up to 100%. We explain (hkl) cleavage energies, the dynamics of (hkl) water interfaces, and new insights into molecular origins of crystal-facet specific hydration and solubility. Impressive agreement of computed and experimentally measured hydration energies is shown. The models add to the Interface force field (IFF) and are compatible with multiple force fields (CHARMM, AMBER, GROMOS, CVFF, PCFF, OPLS-AA) for property predictions of sulfate-containing materials from atoms to the large nanometer scale.

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