Global geometry optimization of clusters using a growth strategy optimized by a genetic algorithm

Details Global geometry optimization of clusters using a growth strategy optimized by a genetic algorithm Global geometry optimization of clusters using a growth strategy optimized by a genetic algorithm

1995-05-24

arxiv.org/abs/chem-ph/9505002v1

Physics

Chemical Physics

accepted by Chem.Phys.Letters; 10 pages text, plus 3 pages for Title, abstract, and figure caption; figures 1a and 1b

Scientific paper

10.1016/0009-2614(95)00587-T

A new strategy for global geometry optimization of clusters is presented. Important features are a restriction of search space to favorable nearest-neighbor distance ranges, a suitable cluster growth representation with diminished correlations, and easy transferability of the results to larger clusters. The strengths and possible limitations of the method are demonstrated for Si10 using an empirical potential.

Affiliated with

Also associated with

No associations

Rating

Global geometry optimization of clusters using a growth strategy optimized by a genetic algorithm does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Global geometry optimization of clusters using a growth strategy optimized by a genetic algorithm, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Global geometry optimization of clusters using a growth strategy optimized by a genetic algorithm will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-408755