Learn on the fly:: A hybrid classical and quantum-mechanical molecular dynamics simulation -: art. no. 175503

被引:252
作者
Csányi, G
Albaret, T
Payne, MC
De Vita, A
机构
[1] Univ Cambridge, Cavendish Lab, Cambridge CB3 0HE, England
[2] Kings Coll London, Dept Phys, London WC2R 2LS, England
[3] Univ Trieste, INFM DEMOCRITOS Natl Simulat Ctr, Trieste, Italy
[4] Univ Trieste, CENMAT, Trieste, Italy
基金
英国工程与自然科学研究理事会;
关键词
D O I
10.1103/PhysRevLett.93.175503
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We describe and test a novel molecular dynamics method which combines quantum-mechanical embedding and classical force model optimization into a unified scheme free of the boundary region, and the transferability problems which these techniques, taken separately, involve. The scheme is based on the idea of augmenting a unique, simple parametrized force model by incorporating in it, at run time, the quantum-mechanical information necessary to ensure accurate trajectories. The scheme is tested on a number of silicon systems composed of up to similar to200 000 atoms.
引用
收藏
页码:175503 / 1
页数:4
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