Accession Number:

AD1147260

Title:

Certifying the Potential Energy Landscape

Descriptive Note:

[Technical Report, Research Report]

Corporate Author:

North Carolina State University

Report Date:

2013-05-03

Pagination or Media Count:

4

Abstract:

It is highly desirable for numerical approximations to stationary points for a potential energy landscape to lie in the corresponding quadratic convergence basin. However, it is possible that an approximation may lie only in the linear convergence basin, or even in a chaotic region, and hence not converge to the actual stationary point when further optimization is attempted. Proving that a numerical approximation will quadratically converge to the associated stationary point is termed certification. Here we employ Smales -theory to stationary points, providing a certification that serves as a mathematical proof that the numerical approximation does indeed correspond to an actual stationary point, independent of the precision employed. As a practical example, employing recently developed certification algorithms, we show how the -theory can be used to certify all the known minima and transition states of Lennard-Jones LJN atomic clusters for N 7, . . . , 14.

Subject Categories:

  • Numerical Mathematics
  • Operations Research

Distribution Statement:

[A, Approved For Public Release]