Skip to main content
Log in

A note on the regularity of reduced models obtained by nonlocal quasi-continuum-like approaches

  • FULL LENGTH PAPER
  • Published:
Mathematical Programming Submit manuscript

Abstract

The paper investigates model reduction techniques that are based on a nonlocal quasi-continuum-like approach. These techniques reduce a large optimization problem to either a system of nonlinear equations or another optimization problem that are expressed in a smaller number of degrees of freedom. The reduction is based on the observation that many of the components of the solution of the original optimization problem are well approximated by certain interpolation operators with respect to a restricted set of representative components. Under certain assumptions, the “optimize and interpolate” and the “interpolate and optimize” approaches result in a regular nonlinear equation and an optimization problem whose solutions are close to the solution of the original problem, respectively. The validity of these assumptions is investigated by using examples from potential-based and electronic structure-based calculations in Materials Science models. A methodology is presented for using quasi-continuum-like model reduction for real-space DFT computations in the absence of periodic boundary conditions. The methodology is illustrated using a basic Thomas–Fermi–Dirac case study.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Allen M.P. and Tildesley D.J. (1987). Computer Simulation of Liquids. Clarendon Press, Oxford

    MATH  Google Scholar 

  2. Atkinson K.E. (1989). An Introduction to Numerical Analysis. Wiley, New York

    MATH  Google Scholar 

  3. Bertsekas D.P. (1982). Constrained Optimization and Lagrange Multiplier Methods. Academic, New York

    MATH  Google Scholar 

  4. Blanc, X., LeBris, C., Lions, P.-L.: Atomistic to continuum limits for computational materials science. Math. Model. Numer. Anal. (to appear) (2007)

  5. Lu W.E.J. and Yang J.Z. (2006). Uniform accuracy of the quasicontinuum method. Phys. Rev. B 74: 214115

    Article  Google Scholar 

  6. Fago M., Hayes R., Carter E., Ortiz M. (2004) Density-functional-theory-based local quasicontinuum method: prediction of dislocation nucleation. Phys. Rev. B 70: 100102

    Article  Google Scholar 

  7. Fiacco A.V. (1983). Introduction to Sensitivity and Stability Analysis in Nonlinear Programming. Academic, New York

    MATH  Google Scholar 

  8. Fletcher R. (1987). Practical Methods of Optimization. Wiley, Chichester

    MATH  Google Scholar 

  9. Fourer, R., Gay, D.M., Kernighan, B.W.: AMPL: a modeling language for mathematical programming, chap. 1, 2nd edn. Thomson, Toronto, Canada. Software, other material available at http://www.ampl.com (2003)

  10. Gill, P.E., Murray, W., Saunders, M.A.: User’s guide for SNOPT 5.3: a fortran package for large-scale nonlinear programming. Report NA 97-5, Department of Mathematics, University of California, San Diego (1997)

  11. Kevrekidis, Y., Gear, C.W., Li, J.: The gaptooth method in particle simulations. Phys. Lett. A 190 (2003)

  12. Knap J. and Ortiz M. (2001). An analysis of the quasicontinuum method. J. Mech. Phys. Solids 49: 1899–1923

    Article  MATH  Google Scholar 

  13. Knap J. and Ortiz M. (2003). Effect of indenter-radius size on Au(001) nanoindentation. Phys. Rev. Lett. 90(22): 226102-1–226102-4

    Article  Google Scholar 

  14. Koch W. and Holthausen M.C. (2001). A Chemist’s Guide to Density Functional Theory, 2nd edn. John Wiley & Sons Inc., New York

    Google Scholar 

  15. Kunin I. (1982). Elastic media with microstructure, I. One-dimensional models. Springer, Heidelberg

    MATH  Google Scholar 

  16. Lin P. (2002). Theoretical and numerical analysis for the quasi-continuum approximation of a material particle model. Math. Comput. 72: 657–675

    Article  Google Scholar 

  17. Miller R.E. and Tadmor E.B. (2002). The quasicontinuum method: overview, applications and current directions. J. Comput. Aided Materials Des. 9: 203–239

    Article  Google Scholar 

  18. Negrut, D., Anitescu, M., Munson, T., Zapol, P.: Simulating nanoscale processes in solids using DFT and the quasicontinuum method (IMECE2005-81755). In: Proceedings of IMECE 2005, ASME International Mechanical Engineering Congress and Exposition (2005)

  19. Ortega J. and Rheinboldt W. (1972). Iterative Solutions of Nonlinear Equations in Several Variables. Academic, New York

    Google Scholar 

  20. Ortner, C., Suli, E.: A-priori analysis of the quasicontinuum method in one dimension. In: Technical Report NA-06/12, Oxford University, Computing Laboratory, Oxford

  21. Rodney, D.: Mixed atomistic/continuum methods: static and dynamic quasi continuum methods. In: Finel, A., Maziere, D., Veron, M. (eds.) Proceedings of the NATO Conference in Thermodynamics, Microstructures and Plasticity. Kluwer, Dordrecht (2003)

  22. Szabo, A., Ostlund, N.: Modern Quantum Chemistry. Dover, New York (1989)

  23. Tadmor E., Ortiz M. and Phillips R.A. (1996). Quasicontinuum analysis of defects in solids. Philos Mag A 73: 1529–1563

    Article  Google Scholar 

  24. Wang Y., Govind N. and Carter E. (1999). Orbital-free kinetic-energy density functionals with a density-dependent kernel. Phys. Rev. B 60: 16350–16358

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mihai Anitescu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Anitescu, M., Negrut, D., Zapol, P. et al. A note on the regularity of reduced models obtained by nonlocal quasi-continuum-like approaches. Math. Program. 118, 207–236 (2009). https://doi.org/10.1007/s10107-007-0188-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10107-007-0188-3

Mathematics Subject Classification (2000)

Navigation