Calculation update! New properties have been added to the website for dislocation monopole core structures, dynamic relaxes of both crystal and liquid phases, and melting temperatures! Currently, the results for these properties predominately focus on EAM-style potentials, but the results will be updated for other potentials as the associated calculations finish. Feel free to give us feedback on the new properties so we can improve their representations as needed.
Warning! Note that elemental potentials taken from alloy descriptions may not work well for the pure species. This is particularly true if the elements were fit for compounds instead of being optimized separately. As with all interatomic potentials, please check to make sure that the performance is adequate for your problem.
Citation: M.S. Daw, and M. Chandross (2023), "Simple parameterization of embedded atom method potentials for FCC metals", Acta Materialia248, 118771. DOI: 10.1016/j.actamat.2023.118771.
Abstract: We propose a simple parametric form for interatomic potentials of the Embedded Atom Method (EAM-X) for pure FCC metals, and study some of the basic properties as functions of input parameters. With this model, we deviate from the usual approach of fitting a set of functions to basic properties from experiments and/or density functional theory calculations, and then using those functions to investigate more complex properties. Instead, we illustrate here what we term the "inside out" approach, which seeks to understand generically how complex properties are dependent on the EAM-X parameters themselves. This method enables the identification of regions of parameter space that correspond to desirable attributes, and then the possibility of matching that neighborhood of parameters to real elements. A companion paper extends the model (and property studies) to FCC-based metal alloys.
Citation: M.S. Daw, and M. Chandross (2023), "Simple Parameterization of Embedded Atom Method Potentials for FCC Alloys", Acta Materialia248, 118772. DOI: 10.1016/j.actamat.2023.118772.
Abstract: We extend our simple parametric form for Embedded Atom Method interatomic potentials for FCC metals [Daw & Chandross, "Simple Parameterization of Embedded Atom Method Potentials FCC Metals"] to treat alloys. Using this model, which we refer to as "EAM-X", we study the generic dependence of alloy properties on the model parameters. We introduce the idea of spread alloys, where the constituent elements are defined as parametric perturbations from a central, "average" FCC metal, and where different alloys are quantified by a measure of the magnitude of the perturbation. As an example, we consider a spread binary where the only differences between the constituent elements are lattice mismatch and the cross-interaction parameters and show that the model robustly describes the clustering and ordering tendencies of metal alloys. We use the model to prove a general theorem of "parametric simplicity" in random equimolar alloys: alloy properties differ from a simple rule of mixtures in a way that depends only on the standard deviation among the constituent parameters but are otherwise not dependent on the number of constituents, consistent with previous theoretical results.
Notes: EAM-X provides a simple EAM functional form with a small number of parameters allowing for explorations of how complex properties relate to the model parameterization. With EAM-X, models can be generated for real and fictional elements and alloys. This listing provides an example of a "spread alloy" in which two fictional elements are created with EAM-X parameters that are off-set from each other by a specified amount.
Notes: These files were obtained from the Github link and can be used to generate an EAM-X spread alloy. The .py files contain the EAM-X parameter file generator code. baseparams.set defines the base "element" to start from, which here uses the Av meta atom parameterization: deltas.set specifies the parameter offset values to use for the arbitrary A-B fictional elements of the spread alloy. To generate a new EAM-X spread alloy file, place all files in the same directory, change the parameters in the .set values as you wish, and then call "python MakeSpreadBinary.py". File(s):
See Computed Properties Notes: This file was found in the github repository and provides a binary spread example corresponding to the .set input parameters shown above. It was uploaded with permission from Michael Chandross and Murray Daw. File(s):