What is AMMBER?
The AI-assisted Microstructure Model BuildER (AMMBER) is an ongoing project at the University of Michigan.
Phase-field models, which incorporate thermodynamic and kinetic data from atomistic calculations and experiments, have become a key computational tool for understanding microstructural evolution and providing a path to control and optimize morphologies and topologies of structures from nanoscale to microscales. However, due to the complexity of interactions between multiple species, these models are difficult to parameterize. In this project, we developed algorithms and software that automate and optimize the selection of thermodynamic and kinetic parameters for phase-field simulations of microstructure evolution in multicomponent systems.
Presently, the framework consists of two modules:
AMMBER_python extracts phase-field usable free energies from general data sources.
AMMBER-PRISMS-PF provides an open-source suite of multi-component, multi-phase-field model implementations with a simple, flexible interface for defining a system of thermodynamic and kinetic parameters.
AMMBER Features:
- Open-source
- Multi-component
- Multi-phase
- Simple, flexible input file
- Automatic parameter selection
- High-performance Code
- Adaptive Mesh Refinement (AMR)
Quick Start Guide
Install:
AMMBER_python Installation Guide
AMMBER-PRISMS-PF Installation Guide