The AI-assisted Microstructure Model BuildER (AMMBER) is an ongoing project at the University of Michigan.
AMMBER_python is a utility for extracting free-energy data and formatting it for use in phase-field simulation codes.
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, which is used to extract phase-field usable free energies from general data sources, and AMMBER-PRISMS-PF, which 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.
To install the AMMBER Python package, you can use pip
. First, ensure your pip
is up to date:
python -m pip install --upgrade pip
pip install ammber
If you want to install the package directly from the source code, follow these steps:
-
Clone the repository:
git clone https://github.com/UMThorntonGroup/AMMBER_python.git cd AMMBER_python
-
Upgrade
pip
and install the package:python -m pip install --upgrade pip pip install .
For development purposes, you can install the package in editable mode:
-
Clone the repository:
git clone https://github.com/UMThorntonGroup/AMMBER_python.git cd AMMBER_python
-
Upgrade
pip
and install in editable mode:python -m pip install --upgrade pip pip install -e .
AMMBER requires the following Python packages:
numpy
scipy
pycalphad
These dependencies will be installed automatically when using pip install ammber
. If you encounter issues, you can manually install them using:
pip install numpy scipy pycalphad
MIT License. Please see LICENSE for details.