Molecular tailoring approach for geometry optimization of large molecules: Energy evaluation and parallelization strategies

被引:242
作者
Ganesh, V. [1 ]
Dongare, Rameshwar K. [1 ]
Balanarayan, P. [1 ]
Gadre, Shridhar R. [1 ]
机构
[1] Univ Pune, Sch Comp Sci, Interdisciplinary Sch, Pune, Maharashtra, India
关键词
D O I
10.1063/1.2339019
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
A linear-scaling scheme for estimating the electronic energy, gradients, and Hessian of a large molecule at ab initio level of theory based on fragment set cardinality is presented. With this proposition, a general, cardinality-guided molecular tailoring approach (CG-MTA) for ab initio geometry optimization of large molecules is implemented. The method employs energy gradients extracted from fragment wave functions, enabling computations otherwise impractical on PC hardware. Further, the method is readily amenable to large scale coarse-grain parallelization with minimal communication among nodes, resulting in a near-linear speedup. CG-MTA is applied for density-functional-theory-based geometry optimization of a variety of molecules including alpha-tocopherol, taxol, gamma-cyclodextrin, and two conformations of polyglycine. In the tests performed, energy and gradient estimates obtained from CG-MTA during optimization runs show an excellent agreement with those obtained from actual computation. Accuracy of the Hessian obtained employing CG-MTA provides good hope for the application of Hessian-based geometry optimization to large molecules. (c) 2006 American Institute of Physics.
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页数:10
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