atomate2
Documentation | PyPI | GitHub
Atomate2 is a free, open-source software for performing complex materials science workflows using simple Python functions. Features of atomate2 include
- It is built on open-source libraries: pymatgen, custodian, jobflow, and FireWorks.
- A library of "standard" workflows to compute a wide variety of desired materials properties.
- The ability scale from a single material, to 100 materials, or 100,000 materials.
- Easy routes to modifying and chaining workflows together.
- It can build large databases of output properties that you can query, analyze, and share in a systematic way.
- It automatically keeps meticulous records of jobs, their directories, runtime parameters, and more.
Note: Atomate2 is primarily built to work with the VASP electronic structure software, but we are actively working on adding more codes.
Workflows
Some of the workflows available in atomate2 are:
- electronic band structures
- elastic, dielectric, and piezoelectric tensors
- one-shot electron-phonon interactions
- electronic transport using AMSET
- phonons using phonopy
- defect formation energy diagrams
- Lobster bonding analysis with lobsterpy
It is easy to customise and compose any of the above workflows.
Quick start
Workflows in atomate2 are written using the jobflow library. Workflows are generated using
Maker objects which have a consistent API for modifying input settings and chaining
workflows together. Below, we demonstrate how to run a band structure workflow
(see the documentation for more details). In total, 4 VASP
calculations will be performed:
- A structural optimisation.
- A self-consistent static calculation on the relaxed geometry.
- A non-self-consistent calculation on a uniform k-point mesh (for the density of states).
- A non-self-consistent calculation on a high symmetry k-point path (for the line mode band structure).
from atomate2.vasp.flows.core import RelaxBandStructureMaker
from jobflow import run_locally
from pymatgen.core import Structure
# construct a rock salt MgO structure
mgo_structure = Structure(
lattice=[[0, 2.13, 2.13], [2.13, 0, 2.13], [2.13, 2.13, 0]],
species=["Mg", "O"],
coords=[[0, 0, 0], [0.5, 0.5, 0.5]],
)
# make a band structure flow to optimise the structure and obtain the band structure
bandstructure_flow = RelaxBandStructureMaker().make(mgo_structure)
# run the flow
run_locally(bandstructure_flow, create_folders=True)Before the above code can run successfully, you'll need to
- tell pymatgen where to find your pseudopotential files
- tell atomate2 where to find your VASP binary
- (optionally) prepare an external database to store the job output
See the installation steps for details how to set all of this up.
In this example, we execute the workflow immediately. In many cases, you might want to perform calculations on several materials simultaneously. To achieve this, all atomate2 workflows can be run using the FireWorks software. See the documentation for more details.
Installation
Atomate2 is a Python 3.8+ library and can be installed using pip. Full installation and configuration instructions are provided in the installation tutorial.
Tutorials
The documentation includes comprehensive tutorials and reference information to get you started:
Need help?
Ask questions about atomate2 on the atomate2 support forum. If you've found an issue with atomate2, please submit a bug report on GitHub Issues.
Whatβs new?
Track changes to atomate2 through the changelog.
Contributing
We greatly appreciate any contributions in the form of a pull request. Additional information on contributing to atomate2 can be found here. We maintain a list of all contributors here.
License
Atomate2 is released under a modified BSD license; the full text can be found here.
Acknowledgements
The development of atomate2 has benefited from many people across several research groups. A full list of contributors can be found here.