Cluster expansions of multicomponent ionic materials: Formalism and methodology

被引:26
作者
Barroso-Luque, Luis [1 ]
Zhong, Peichen
Yang, Julia H.
Xie, Fengyu
Chen, Tina
Ouyang, Bin
Ceder, Gerbrand
机构
[1] Univ Calif, Dept Mat Sci & Engn, Berkeley, CA 94720 USA
基金
美国国家科学基金会;
关键词
ENERGY; OXIDES; CATION; THERMODYNAMICS; ALGORITHM; DISORDER; MODEL; LASSO; APPROXIMATION; PRINCIPLES;
D O I
10.1103/PhysRevB.106.144202
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The cluster expansion (CE) method has seen continuous and increasing use in the study of configuration -dependent properties of crystalline materials. The original development of the CE method along with the underlying mathematical formalism and assumptions was focused on the study of metallic alloys. Since then the methodology has been actively and successfully used in the study of ionic materials as well. In this work, we present a cohesive reformulation of the mathematical formalism underlying the CE method based on a synthesis of its original formulation, several additions and extensions that have been proposed since, and a revised representation of its constituent mathematical objects. We then proceed to describe some of the formal implications of using the methodology for charge-neutral configurations in ionic systems. In particular, we discuss the reduction of the size of configuration spaces and the resulting linear dependencies that arise among correlation functions that span the larger unconstrained configuration space. Additionally, we explore the effects of long-range electrostatic interactions. We also demonstrate how the previously proposed use of a point electrostatic term successfully accounts for the majority of the longer-range electrostatic interactions, and leaves the cluster expansion terms to capture mostly short-range interactions. Finally, we present and discuss a variety of recently developed methodologies, including training structure selection, oxidation state assignment, structure mapping, and regression algorithms, that are necessary to address these formal mathematical notions for a practical implementation of the CE method in the study of multicomponent ionic materials.
引用
收藏
页数:27
相关论文
共 107 条
  • [1] ICET - A Python']Python Library for Constructing and Sampling Alloy Cluster Expansions
    Angqvist, Mattias
    Munoz, William A.
    Rahm, J. Magnus
    Fransson, Erik
    Durniak, Celine
    Rozyczko, Piotr
    Rod, Thomas H.
    Erhart, Paul
    [J]. ADVANCED THEORY AND SIMULATIONS, 2019, 2 (07)
  • [2] [Anonymous], 2008, Topics in Applied Physics
  • [3] Optimization with Sparsity-Inducing Penalties
    Bach, Francis
    Jenatton, Rodolphe
    Mairal, Julien
    Obozinski, Guillaume
    [J]. FOUNDATIONS AND TRENDS IN MACHINE LEARNING, 2012, 4 (01): : 1 - 106
  • [4] Sparse expansions of multicomponent oxide configuration energy using coherency and redundancy
    Barroso-Luque, Luis
    Yang, Julia H.
    Ceder, Gerbrand
    [J]. PHYSICAL REVIEW B, 2021, 104 (22)
  • [5] A LIMITED MEMORY ALGORITHM FOR BOUND CONSTRAINED OPTIMIZATION
    BYRD, RH
    LU, PH
    NOCEDAL, J
    ZHU, CY
    [J]. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 1995, 16 (05) : 1190 - 1208
  • [6] Candès EJ, 2008, IEEE SIGNAL PROC MAG, V25, P21, DOI 10.1109/MSP.2007.914731
  • [7] Compressed sensing with coherent and redundant dictionaries
    Candes, Emmanuel J.
    Eldar, Yonina C.
    Needell, Deanna
    Randall, Paige
    [J]. APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS, 2011, 31 (01) : 59 - 73
  • [8] Enhancing Sparsity by Reweighted l1 Minimization
    Candes, Emmanuel J.
    Wakin, Michael B.
    Boyd, Stephen P.
    [J]. JOURNAL OF FOURIER ANALYSIS AND APPLICATIONS, 2008, 14 (5-6) : 877 - 905
  • [9] Ceccherini-Silberstein T., 2018, CAMBRIDGE STUDIES AD
  • [10] CONVERGENT REAL-SPACE CLUSTER-EXPANSION FOR CONFIGURATIONAL DISORDER IN IONIC SYSTEMS
    CEDER, G
    GARBULSKY, GD
    TEPESCH, PD
    [J]. PHYSICAL REVIEW B, 1995, 51 (17) : 11257 - 11261