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Approximate Hessian for accelerating ab initio structure relaxation by force fitting

Journal Article · · Physical Review. B, Condensed Matter and Materials Physics
 [1];  [1];  [1];  [2]
  1. Chinese Academy of Sciences (CAS), Beijing (China)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
We present a method to approximate the Hessian matrix of the Born-Oppenheimer energy landscape by using a simple force field model whose parameters are fitted to on-the-flight ab initio results. The inversed Hessian matrix is used as the preconditioner of conjugate gradient algorithms to speed up the atomic structure relaxation, resulting in a speedup factor of 2 to 5 on systems of bulk, slab, sheets, and atomic clusters. Because the force field model employed is simple and general, the parameter fitting is straightforward; the method is applicable to a variety of complicated systems for minimum structure relaxation. In the metal cluster new structure search, the new method yields better structures than the one obtained before with conventional algorithms.
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Univ. of California, Oakland, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
DOE Contract Number:
AC02-05CH11231
OSTI ID:
1565200
Journal Information:
Physical Review. B, Condensed Matter and Materials Physics, Journal Name: Physical Review. B, Condensed Matter and Materials Physics Journal Issue: 14 Vol. 89; ISSN 1098-0121; ISSN PRBMDO
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English

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