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| OpenKIM | |
|---|---|
| Name | OpenKIM |
| Type | Research software repository |
| Founded | 2010 |
| Headquarters | Unspecified |
| Website | (see project portals) |
OpenKIM OpenKIM is a project that provides a curated repository of interatomic potentials, verification tests, and workflows for atomistic simulations. It connects validated computational engines and materials science datasets to reproducible simulation protocols used across research institutions, national laboratories, and industrial research groups. The project emphasizes interoperability between simulation codes, benchmark suites, and metadata standards to promote trusted reuse of models and results.
OpenKIM supplies standardized representations of interatomic potentials and associated metadata that enable researchers using engines such as LAMMPS, GROMACS, VASP, Quantum ESPRESSO and ABINIT to execute comparable simulations. By packaging models with verification tests and provenance records, the project facilitates reproducibility across platforms including Argonne National Laboratory, Lawrence Livermore National Laboratory, Sandia National Laboratories, Oak Ridge National Laboratory and university groups at MIT, Stanford University, Harvard University, University of Cambridge. OpenKIM interfaces with community efforts and standards bodies such as The Materials Project, NIST, Citrine Informatics, Materials Genome Initiative and National Science Foundation-funded consortia.
The initiative originated from collaborations among computational materials scientists, software engineers, and national laboratory researchers responding to reproducibility challenges highlighted in workshops at Los Alamos National Laboratory and meetings hosted by Argonne National Laboratory and NIST. Early contributors included teams affiliated with Rutgers University, University of California, Berkeley, Princeton University and University of Illinois Urbana-Champaign. Funding and stewardship involved grants from U.S. Department of Energy, project partnerships with Oak Ridge National Laboratory and programmatic support intersecting with projects like Materials Project and Open Science Grid. Over successive development cycles the repository expanded from proof-of-concept potential drivers to a federated ecosystem supporting automated testing, continuous integration, and DOIs for code artifacts.
The OpenKIM architecture is modular, combining a model registry, test harness, execution API, and metadata schema. The registry catalogs model packages with metadata fields aligned to identifiers used by Digital Object Identifier System and citation services such as CrossRef. The test harness integrates with continuous integration systems used at GitHub, GitLab, and enterprise platforms at Google and Microsoft Research to run verification tests. The execution API supports bindings for languages and frameworks commonly deployed at Lawrence Berkeley National Laboratory and academic centers, enabling coupling with workflow managers like FireWorks, AiiDA, and Kokkos. Provenance capture draws on standards discussed at gatherings of Research Data Alliance and tools from Zenodo for archival.
Models in the repository include empirical potentials, embedded-atom method packages, bond-order potentials, and machine-learned potentials developed by researchers at Columbia University, ETH Zurich, Max Planck Institute for Iron Research, Imperial College London, University of Tokyo, and labs such as Oak Ridge National Laboratory. Each model is accompanied by verification tests for properties like lattice constants, defect formation energies, surface energies and phonon spectra. Test suites are inspired by validation efforts from projects like AFLOW, Open Materials Database, Materials Project, and methodologies from researchers publishing in journals such as Physical Review Letters, Journal of Chemical Physics, Computational Materials Science and Nature Materials.
OpenKIM exposes libraries and command-line tools that integrate with simulation codes and data platforms. Plugins and adaptors connect to engines such as LAMMPS, GROMACS, AMBER, NWChem, CP2K and electronic-structure packages like VASP and Quantum ESPRESSO. Integration with workflow and provenance tools—AiiDA, FireWorks, Dask, Snakemake—enables deployment on high-performance computing centers including NERSC, XSEDE, PRACE sites and cloud providers such as Amazon Web Services and Google Cloud Platform. Packaging and distribution leverage community practices from Conda, Docker, Singularity and code hosting at GitHub and Bitbucket.
Researchers use the repository to compare potentials for simulations of metallic alloys, oxides, semiconductors and low-dimensional materials studied by teams at MIT, Caltech, University of California, Santa Barbara, University of Wisconsin–Madison and University of Illinois. Applications include defect engineering, irradiation damage modeling tied to programs at Los Alamos National Laboratory and Sandia National Laboratories, nanostructure mechanics relevant to projects at Lawrence Livermore National Laboratory and catalysis studies from Argonne National Laboratory. Industry partners in sectors represented by Intel Corporation, Toyota Research Institute, BASF, Boeing and Siemens have evaluated models for materials design and process simulation workflows.
Governance has involved steering committees, scientific advisory boards and community contributors spanning academia, national laboratories and industry. Collaboration occurs through workshops hosted at institutions like Argonne National Laboratory and conferences including MS&T Conference, MRS Fall Meeting, ICMSE and meetings organized by TMS and AIMNet. Community contributions follow open-source practices adopted by projects such as OpenKIM Foundation (project-aligned groups), and engagement channels use platforms like GitHub, mailing lists hosted via Mailman and discussion at forum venues associated with Research Data Alliance and Materials Genome Initiative events. The ecosystem encourages citation, provenance, and reproducible workflows aligned with policies from funders including National Science Foundation and Department of Energy.
Category:Materials science software