On the Problem of Bimetallic Nanostructures Optimization: An Extended Two-Stage Monte Carlo Approach View Full Text


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Chapter Info

DATE

2021-12-15

AUTHORS

Rossen Mikhov , Vladimir Myasnichenko , Leoneed Kirilov , Nickolay Sdobnyakov , Pavel Matrenin , Denis Sokolov , Stefka Fidanova

ABSTRACT

In this paper we present an extended version of the two-stage lattice Monte Carlo approach for optimization of bimetallic nanoalloys proposed in (Mikhov R., Myasnichenko V., Kirilov L., Sdobnyakov N., Matrenin P., Sokolov D., Fidanova S. A Two-Stage Monte Carlo Approach for Optimization of Bimetallic Nanostructures. In: Proceedings of the Federated Conference on Computer Science and Information Systems (FedCSIS), September 6–9, 2020. Sofia, Bulgaria, 285–288 (2020)). The two stages consist of simulated annealing on a larger lattice, followed by simulated diffusion. Both constituent algorithms are fairly similar in structure, but their combination was found to give significantly better solutions than simulated annealing alone. We test the proposed approach on a few examples and discuss how to tune the parameters of the algorithms so that they work together optimally. More... »

PAGES

235-250

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-030-82397-9_12

DOI

http://dx.doi.org/10.1007/978-3-030-82397-9_12

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1143861190


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