Established in 2009, the Open Knowledgebase of Interatomic Models (OpenKIM) is a cyberinfrastructure funded by the NSF aimed at making molecular simulations of materials reliable, reproducible, and accessible.

OpenKIM deploys its own Crystal Genome (XtalG) technology for computing a host of static and dynamic properties of all known crystal structures in a rigorous fashion. Each property calculation undergoes pre- and post-processing by a unified Python backend to ensure correctness and consistency. This is especially important for reporting tensor properties in an orientation consistent with the crystal structure.
A web frontend allows users to browse all materials categorized by their AFLOW Prototype Label. From there, for each material, users can navigate to a page containing results for material properties predicted by all compatible interatomic potentials, along with visualizations and crystallographic information.
Material property calculations powered by XtalG are also available as Python classes in the kimvv package, allowing users to incorporate rigorous OpenKIM protocols into their own workflows outside of OpenKIM.
Curated repository of physics-based and machine learning interatomic potentials (IPs) from trusted sources archived with version control and DOIs for reproducible science. Learn more
Application Programming Interface (KIM API) allowing archived IPs to be used plug-and-play with leading atomistic and multiscale simulation codes (“simulators”). Learn more
Crystal Genome (XtalG) testing framework for predicting the material properties of archived IPs for all known crystal structures, powering cloud-based calculations in OpenKIM, and available as the standalone kimvv Python package. Learn more
Verification Check (VC) framework to ensure the coding integrity of archived IPs such as conformance to physical invariances, correct operation, and code integrity. Learn more
Query API for accessing information on IPs and their predictions through web-based queries obeying Representational State Transfer (REST) constraints. Learn more
Source and Conda binary distribution framework for easy installation and use of KIM IPs with conforming simulators. Learn more
Development of KIM-compatible physics-based and machine learning IPs using the KLIFF (KIM-based Learning-Integrated Fitting Framework) Python package Learn more.
KIM Developer Platform (KDP) providing full OpenKIM functionality for the development of IPs using KLIFF, and their testing via XtalG property calculations and VCs on user and high-computing performance (HPC) resources via Docker and Singularity containers. Learn more
A presentation By Ellad Tadmor, KIM Director, on the OpenKIM project and its mission. watch.
A short overview of the current (as of EOY 2025) state of the OpenKIM repository, focused on the Crystal Genome (XtalG) material property computation framework for arbitrary crystals. watch
A detailed look at the XtalG framework, including an introduction to the underlying crystallography, a tour of the web interface for browsing XtalG results, and a demo of the kimvv Python package that brings XtalG to users' offline workflows. watch
OpenKIM is a member of DataCite, the DOI registration agency, and issues DOIs to all IPs (and other content) uploaded to openkim.org. For more information, see this news item.
The Knowledgebase of Interatomic Models (KIM) project is funded by the National Science Foundation. It was first funded through a four-year grant as part of the Cyber-Enabled Discovery and Innovation (CDI) program, and then through a second grant within the Computational and Data-Enabled Science and Engineering (CDSE) program. The project is currently funded through a DMR CMMT grant.
The KIM project acknowledges the support of the Institute for Mathematics and its Applications for a series of OpenKIM Coding Sprints held during the summer of August 2018.
The KIM project is led by Prof. Ellad B. Tadmor, Prof. Ryan S. Elliott, and Prof. George Karypis at the University of Minnesota and Prof. Mark Transtrum at Brigham Young University. For a full list of the core project participants, see KIM Team Members.
OpenKIM is administered by an elected KIM Director, other co-PIs on the project, a KIM Editor (appointed by the KIM Director), and an elected OpenKIM Advisory Board. The roles and responsibilities of the Board are described in the OpenKIM Advisory Board Bylaws.
Ellad B. Tadmor
Professor of Aerospace Engineering and Mechanics
University of Minnesota
https://dept.aem.umn.edu/~tadmor/
OpenKIM User Profile and Repository Contributions: tadmor
Ellad B. Tadmor is a Professor of Aerospace Engineering and Mechanics at the University of Minnesota (USA). He received his B.Sc. and M.Sc. in Mechanical Engineering from the Technion – Israel Institute of Technology in 1987 and 1991, and his Ph.D. from Brown University (USA) in 1996. He pioneered computer simulation methods and theories that span multiple length and time scales to predict the behavior of materials and nanodevices, including 2D materials, from their atomic structure. He has published over 75 papers in this area and two graduate-level textbooks (modelingmaterials.org). He serves on the Editorial Board of the Journal of Elasticity. Prof. Tadmor is the PI of the KIM Project and the ColabFit Project which extends KIM functionality to machine learning models.
Ryan S. Elliott
Professor of Aerospace Engineering and Mechanics
University of Minnesota
OpenKIM User Profile and Repository Contributions: Ryan
Ryan S. Elliott is a Professor in the Department of Aerospace Engineering and Mechanics at the University of Minnesota. He received a B.S. in Engineering Mechanics from Michigan State University (1998), and a M.S.E. in Aerospace Engineering (1999), a M.S. in Mathematics (2002), and a Ph.D. in Aerospace Engineering and Scientific Computing (2004), all from the University of Michigan. Dr. Elliott's areas of expertise include atomistic and continuum stability problems, computational mechanics, pattern formation, symmetry group theory, and bifurcation theory. He has received many awards for his work, including: the Tau Beta Pi Matthews Fellowship (1998), the Ivor K. McIvor Award in Applied Mechanics, the Frederick A. Howes Scholar in Computational Science award (2005), a National Science Foundation CAREER grant (2007), a University of Minnesota McKnight Land-Grant Professorship (2009), the Russell J. Penrose Faculty Fellowship (2012), and the Thomas J.R. Hughes Young Investigator award (2014). He was elected Fellow of the American Society of Mechanical Engineers in 2017, and serves on the Editorial Board of the Journal of Elasticity and the International Journal of Solids and Strucutres. He is a co-PI of the KIM project and is one of the primary developers of the kim-api software implementation.
Mark K. Transtrum
Associate Professor of Physics and Astronomy
Brigham Young University
OpenKIM User Profile and Repository Contributions: mktranstrum
Mark K. Transtrum is an Associate Professor of Physics and Astronomy at Brigham Young University (Utah, USA). He received his B.S. in Physics from Brigham Young University in 2006 and his M.S. and Ph.D. in Physics from Cornell University in 2010 and 2011. He is an expert in the modeling of complex systems, and has pioneered methodological advancements in information geometry to uncertainty quantification, model selection, and model reduction. He works on a broad range of problems, having published more than 70 scientific papers and conference proceedings in areas as diverse as material science, systems biology, power systems, acoustics, and machine learning. He is a recipient of an NSF CAREER award and has been a Co-PI on the KIM project since 2018.
Ronald E. Miller
Professor of Mechanical and Aerospace Engineering
Carleton University
https://carleton.ca/mae/profile/ronald-e-miller/
OpenKIM User Profile and Repository Contributions: ronmiller
Ronald E. Miller is a Professor and Chair of Mechanical and Aerospace Engineering at Carleton University (Canada). He was educated in Mechanical Engineering at the University of Manitoba (Canada) and Solid Mechanics at Brown University (USA). Dr. Miller's research focuses on multiscale materials modelling and atomistic simulations. He has published more than 40 scientific articles in the area. Dr. Miller was a 2003 recipient of the Ontario Premiers Research Excellence Award and a Lady Davis Fellow at the Technion (Israel) in 2004. He has been active in the KIM project since its inception.
Pietro Asinari
Professor of Heat and Mass Transfer
Politecnico di Torino, Department of Energy, Italy
https://www.polito.it/en/staff?p=pietro.asinari
OpenKIM User Profile and Repository Contributions: pietro-asinari
Pietro Asinari is Professor of Heat and Mass Transfer at the Politecnico di Torino (IT). He received his B.Sc. & M.Sc. in Mechanical Engineering (summa cum laude) and his Ph.D. in Energetics from Politecnico di Torino (IT) in 2001 and 2005, respectively. He is the Director of the Multi-Scale Modeling Laboratory - SMaLL - (https://www.polito.it/en/staff?p=pietro.asinari). His research focuses on the development of multiscale materials modelling and atomistic simulations, mainly for water at nanoscale solid-liquid interfaces for energy and bio/nano engineering devices. He has published over 100 papers (Scopus), including on Nature Communications. He serves on the Operational Management Board of the European Materials Modelling Council - EMMC - (https://emmc.eu), in particular about discrete modelling of materials. He received the Eni-Italgas Prize for Energy and Environment, Debut in Research, in 2005. He serves on the Editorial Board of the journal Heliyon (Elsevier) since 2016.
Laura M. Bartolo
Senior Research Associate
Center for Hierarchical Materials Design (CHiMaD), Northwestern University
https://chimad.northwestern.edu/news-events/CHiMaD_Data_Database_Efforts.html
OpenKIM User Profile and Repository Contributions: lbartolo
Laura M. Bartolo is Senior Research Associate at the Center for Hierarchical Materials Design (CHiMaD), a collaboration led by Northwestern University involving the University of Chicago and Argonne National Laboratory. Prior to coming to CHiMad at Northwestern University, Laura Bartolo was Professor and Director of the Center for Materials Informatics at Kent State University. Professor Bartolo received a MILS in Information and Library Science from State University of New York at Buffalo. Her work is focuses on the role of materials data to accelerate improvements in materials design as well as the requirements needed for an interoperable materials data infrastructure.
Michael I. Baskes
Laboratory Associate-Fellow, Los Alamos National Laboratory
Research Professor
Mississippi State University
https://www.ae.msstate.edu/people/faculty/michael-baskes
OpenKIM User Profile and Repository Contributions: mbaskes
Dr. Baskes is a Research Professor at Mississippi State University, a Laboratory Associate-Fellow of the Los Alamos National Laboratory, an Adjunct Professor of Mechanical and Aerospace Engineering at the University of California, San Diego, and an Adjunct Professor of Materials Science and Engineering at the University of North Texas. Dr. Baskes interests encompass the use of computational methods to investigate material properties. His distinguished accomplishments include development of the Embedded Atom Method (EAM), this semi-empirical atomistic method has become the standard mode of calculation for complex applications in material science and development of atomistic models to predict the behavior of helium in metals. He was elected to the National Academy of Engineering in 2012. He was Member of the National Materials Advisory Board from 1995-1998 and the National Materials and Manufacturing Board 2014-2017. He received a Ph.D. in Materials Science from California Institute of Technology. He has authored over 250 journal publications, book chapters, and conference proceedings, which have been cited approximately 30,000 times.
Betsy M. Rice
Research Chemist
US Army Research Laboratory
OpenKIM User Profile and Repository Contributions: betsyrice
Betsy Rice serves as Leader of the Multiscale Reactive Modeling Team in the Energetic Material Science Branch, Weapons and Materials Research Directorate, US Army Research Laboratory. Dr. Rice earned a B.S in Chemistry from Cameron University and a Ph.D. in Chemistry from Oklahoma State University. Dr. Rice has published over 100 journal articles and eleven book chapters relating to molecular simulations of materials of interest to the Army. Dr. Rice also held the position of Senior Scientist at the DoD High Performance Computing Software Application Institute for Multiscale Reactive Modeling of Insensitive Munitions (2008-2014) before its inclusion into ARL core programs. Dr. Rice was named as an ARL Fellow in 2000, and serves on the ARL Senior Technical Council.
Sadasivan Shankar
SLAC Research Technology Manager
Stanford University
https://mse.stanford.edu/people/sadasivan-shankar
OpenKIM User Profile and Repository Contributions: sadasivanshankar
Sadasivan (Sadas) Shankar is Research Technology Manager at SLAC National Laboratory and Adjunct Professor in Stanford Materials Science and Engineering. He was the first Margaret and Will Hearst Visiting Lecturer in Harvard University and the first Distinguished Scientist in Residence at the Harvard Institute of Applied Computational Sciences. He has co-instructed classes related to materials, computing, and sustainability and was awarded Harvard University Teaching Excellence Award. He is involved in research in materials, chemistry, and specialized AI methods for complex problems in physical and natural sciences, new frameworks for studying computing, and a new course on Translation: From Invention to Innovation. He is a co-founder and the Chief Scientist in Material Alchemy, a "last mile" translational and independent venture for sustainable design of materials.
Aidan P. Thompson
Principal Member of Technical Staff
Sandia National Laboratories
https://www2.sandia.gov/~athomps/
OpenKIM User Profile and Repository Contributions: athomps
Dr. Thompson is a Principal Member of Technical Staff at Sandia National Laboratories. He received his B.Eng. from the National University of Ireland and his Ph.D. from the University of Pennsylvania, both in Chemical Engineering. His work deals with the development and application of algorithms for large-scale atomistic simulation of materials. This includes improving the accuracy of interatomic potentials and increasing the time scales accessible in molecular dynamics (MD) simulations. Dr. Thompson has authored 55 journal publications in these areas. He is also one of the lead developers of the LAMMPS MD package which is being led at Sandia. He was a winner of the FIRST Industrial Fluid Properties Simulation Challenge in 2005.
Noam Bernstein
Research Physicist
Naval Research Laboratory
https://www.nrl.navy.mil/Our-Work/Areas-of-Research/Materials-Science-Technology/
OpenKIM User Profile and Repository Contributions: noambernstein
Dr. Bernstein has been involved with the KIM project since its early stages, although he is not one of the official PIs of the project. His interests and experience in the development, implementation, and application of potentials and application codes (Models and Tests in KIM's language) have led to his involvement in the technical aspects of KIM, primarily developing the requirements document (RD) and in particular requirements for the application programming interface (API).
Daniel S. Karls
Research Associate, Aerospace Engineering and Mechanics
University of Minnesota
OpenKIM User Profile and Repository Contributions: karls
Dr. Karls is responsible for the development of infrastructure, content, and machine learning tools within the KIM framework. He completed his Ph.D. at the University of Minnesota with Profs. Ryan Elliott and Ellad Tadmor investigating the concept of transferability of empirical potentials. His dissertation, available online here, explores an abstract framework for categorizing interatomic potentials in terms of both the representations they use to describe atomic configurations, as well as their overall means of computing forces and energies using these representations. Under this framework, a method known as the *Regression Algorithm for Transferability Estimation* (RATE) is devised which permits the quantitative assessment of the transferability of an empirical potential based on prior observations of its accuracy.
Yonatan Kurniawan
Brigham Young University
OpenKIM User Profile and Repository Contributions: yonatank
Yonatan is a Ph.D. student in Physics at Brigham Young University, working with Dr. Mark Transtrum. His research interest is about sloppy model analysis and uncertainty quantification of interatomic models (IMs).
Ilia Nikiforov
University of Minnesota
OpenKIM User Profile and Repository Contributions: ilia
Dr. Nikiforov is a protocol developer for the OpenKIM project at the postdoctoral associate level. He received his Ph.D in mechanical engineering from the University of Minnesota, working at the Computational Nanomechanics lab under Prof. Traian Dumitrica. Following one year as a postdoc with Prof. Tadmor, he spent several years in industry working on projects ranging from biometrics to fluid mechanics. In 2022, he returned to work with Profs. Tadmor and Elliott in his current position.
Zeren Shui
Ph.D. Student
Department of Computer Science and Engineering, University of Minnesota
https://www.linkedin.com/in/zeren-shui-2a7947129/
OpenKIM User Profile and Repository Contributions: dminer007
Zeren Shui is a Ph.D. student working with Professor George Karypis. In the KIM project, Zeren is in charge of developing machine learning-based interatomic potentials and natural language processing tools to improve users' experience with OpenKIM. His research interests include graph representation learning, natural language processing, and recommendation systems.
Claire Waters
Postdoctoral Associate, Aerospace Engineering and Mechanics
University of Minnesota
OpenKIM User Profile and Repository Contributions: bwaters
Dr. Waters is a postdoctoral researcher with the KIM project, where her focus is developing and maintaining the software powering the KIM pipeline. She received her Ph.D. in physics from Wayne State University, where her research focused on numerical modeling of condensed matter systems, including 2D materials and nanoparticle composites.
Mingjian Wen
University of Minnesota
OpenKIM User Profile and Repository Contributions: Mwen
Mingjian was a Ph.D. student working with Prof. Tadmor on developing KIM-based fitting framework for traditional "physics-based" and machine learning interatomic models. His particular area of interest is modeling the response of layered 2D materials. He is currently a postdoctoral fellow at Lawrence Berkeley Lab.
Yaser Afshar
Research Associate, Aerospace Engineering and Mechanics
University of Minnesota
OpenKIM User Profile and Repository Contributions: yafshar
Dr. Afshar is included in the KIM infrastructure development and the extension of the KIM testing framework. His primary focus is on the continued growth of the KIM-based Learning-Integrated Fitting Framework (KLIFF) as well as algorithms for assessing uncertainty estimation in molecular simulations using interatomic potentials.
In October 2016, Yaser completed his Ph.D. project in the field of computer science at the Max Planck Institute of Molecular Cell Biology and Genetics in Germany under the supervision of Prof. Sbalzarini. From 2017 until July 2019, he was a postdoctoral researcher in the group of Prof. Duraisamy at the Center for Data-Driven Computational Physics of the University of Michigan, Ann Arbor. He designed and developed a task-parallel framework for uncertainty quantification, and optimization for data-driven, predictive modeling of battery materials. His research also included the development of new machine learning and reduced-order modeling tools for vehicle aerodynamics.
Alex Alemi
Research Assistant, Department of Physics
Cornell University
OpenKIM User Profile and Repository Contributions: alexalemi
Alex was a graduate student working with Prof. Jim Sethna at Cornell University. He contributed to the development of the KIM Processing Pipeline and to some KIM Tests and Models.
Matt Bierbaum
Research Assistant, Department of Physics
Cornell University
https://sethna.lassp.cornell.edu
OpenKIM User Profile and Repository Contributions: mattbierbaum
Matt was a graduate student working with Prof. Jim Sethna at Cornell University. He contributed to the development of the KIM Processing Pipeline and to some KIM Tests and Models.
Colin Clement
Cornell University
https://sethna.lassp.cornell.edu/
OpenKIM User Profile and Repository Contributions: colin
Colin was a graduate student working with Prof. Jim Sethna at Cornell University. He investigated using Bayesian ensembles to estimate the systematic errors of models.
Adam Ludvik
University of Minnesota
OpenKIM User Profile and Repository Contributions: adam
Adam Ludvik was an undergraduate student at the University of Minnesota. He contributed to the development of the KIM visualization framework.
John Nissen-Hooper
University of Minnesota
OpenKIM User Profile and Repository Contributions: jnhooper
John was an undergraduate student at the University of Minnesota. He graduated in 2012 with honors for a degree in Italian Studies. He contributed to the development of web applications for both static and interactive data visualizations on openkim.org.
James P. Sethna
Professor of Physics
Cornell University
https://sethna.lassp.cornell.edu/
OpenKIM User Profile and Repository Contributions: sethna
Prof. Sethna is a former co-PI of the KIM project and as such was broadly involved in the development of various aspects of KIM. He continues to be engaged in scientific aspects of the project, in particular, implementing Bayesian parameter ensembles for estimating the systematic errors of interatomic potentials.
Valeriu Smirichinski
Post-Doctoral Research Associate, Aerospace Engineering and Mechanics
University of Minnesota
OpenKIM User Profile and Repository Contributions: smirvi
Dr. Smirichinski was a postdoctoral fellow at the University of Minnesota. He developed the initial version of the KIM application programming interface (API).