Abstract
A systematic approach for model unification of cluster expansion models is developed and demonstrated. The method builds on previous work with the Manifold Boundary Approximation Method (MBAM) to identify supremal models. The work is motivated by the exercise of unifying cluster expansion models – characterized by Π matrices – for two binary alloys that share one atomic species to form a model for the ternary alloy. The result is the Supremal Π Algorithm, a systematic unification algorithm that relies on an MBAM-informed understanding of models and on the singular value decomposition. The algorithm yields ΠΛ, a Π matrix for the unified cluster expansion model. The algorithm also enables construction and investigation of these unified models in polynomial time, achieving a combinatorial reduction in computational time over the aforementioned previous work.
Degree
MS
College and Department
Computational, Mathematical, and Physical Sciences; Physics and Astronomy
Rights
https://lib.byu.edu/about/copyright/
BYU ScholarsArchive Citation
Barfuss, Kolten, "Model Unification: A Systematic Approach for the Cluster Expansion" (2026). Theses and Dissertations. 11227.
https://scholarsarchive.byu.edu/etd/11227
Date Submitted
2026-04-21
Document Type
Thesis
Permanent Link
https://arks.lib.byu.edu/ark:/34234/q283871de3
Keywords
cluster expansion, combinatorial time, discrete exponential system, Ising universality class, information topology, Manifold Boundary Approximation Method (MBAM), minimal model, model unification, singular value decomposition, supremum, supremal model
Language
english