title: Adaptive cluster expansion approach for predicting the structure evolution of graphene oxide.
abstract: An adaptive cluster expansion (CE) method is used to explore surface adsorption and growth processes. Unlike the traditional CE method, suitable effective cluster interaction (ECI) parameters are determined, and then the selected fixed number of ECIs is continually optimized to predict the stable configurations with gradual increase of adatom coverage. Comparing with traditional CE method, the efficiency of the adaptive CE method could be greatly enhanced. As an application, the adsorption and growth of oxygen atoms on one side of pristine graphene was carefully investigated using this method in combination with first-principles calculations. The calculated results successfully uncover the structural evolution of graphene oxide for the different numbers of oxygen adatoms on graphene. The aggregation behavior of the stable configurations for different oxygen adatom coverages is revealed for increasing coverages of oxygen atoms. As a targeted method, adaptive CE can also be applied to understand the evolution of other surface adsorption and growth processes.
authors.affiliation: Beijing Computational Science Research Center, Beijing 100084, China.
authors.forename: Xi-Bo
authors.initials: XB
authors.lastname: Li
authors.affiliation: Beijing Computational Science Research Center, Beijing 100084, China.
authors.forename: Pan
authors.initials: P
authors.lastname: Guo
authors.affiliation: Beijing Computational Science Research Center, Beijing 100084, China.
authors.forename: D
authors.initials: D
authors.lastname: Wang
authors.affiliation: Key Laboratory of Materials Physics, Institute of Solid State Physics, Chinese Academy of Sciences, Hefei 230031, China.
authors.forename: Yongsheng
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: Beijing Computational Science Research Center, Beijing 100084, China.
authors.forename: Li-Min
authors.initials: LM
authors.lastname: Liu