Publication | Open Access
Formulation of Multicomponent Lattice Gas Model Cluster Expansions Parameterized on Ab Initio Data: An Introduction to the Ab Initio Mean-Field Augmented Lattice Gas Modeling Code
23
Citations
89
References
2019
Year
EngineeringMaterial SimulationComputational ChemistryComputer-aided DesignStructural OptimizationIsing ModelNumerical SimulationAb InitioModeling And SimulationMulti-physics ModellingMaterials ScienceCluster SciencePhysicsAb-initio MethodNatural SciencesMaterial ModelingAb Initio DataSolid ModelingNew CodeMultiscale Modeling
A formalism is presented for the construction of multicomponent lattice gas models parameterized with ab initio (typically density functional theory) data. The leave-multiple-out and the leave-one-out cross validation score are showcased, and practical algorithms are developed and implemented in a new code called the Ab initio Mean-field Augmented Lattice Gas Modeling (AMALGM) code. The functionality of these algorithms is demonstrated with a fully worked out example using the O/Fe(100) system. AMALGM and the formalism on which it is based are envisioned as a surface-oriented lattice gas alternative to other cluster expansion codes that are typically geared toward bulk systems whose lateral interactions between components are parameterized using an Ising model. While the formalism is created within the context of surfaces, it is equally applicable to bulk materials.
| Year | Citations | |
|---|---|---|
Page 1
Page 1