Overview
Professor Tadmor's research is focused on the development of state-of-the-art physics-based and machine learning methods for modeling the thermo-mechanical behavior and failure of solid-state and 2D materials. He uses a range of approaches including theoretical mechanics, the finite element method (FEM), molecular dynamics, and multiscale methods that span across length and time scales that he pioneered. He is also interested, on a more basic level, in the connection between continuum and thermodynamic theory and the underlying atomistic scale using ideas from statistical mechanics. See the Research menu item for current research topics.
Professor Tadmor has also been a leader in the establishment of standards and the development of software tools and DevOps for advancing the reliability, reproducibility and accesibility of computational materials science. He is the Director of the NSF Open Knowledgebase of Interatomic Models (OpenKIM), which is an online repository of interatomic potentials and material informatics, he leads the ColabFit project advancing the use of machine learning in materials science, he established the KIM REVIEW journal with topical reviews of seminal molecular simulation papers, among other community-focused efforts (see the KIM Initiative website for details). Tadmor also created the Science Court project at the University of Minnesota aimed at combating polarization in American society and strengthen democracy, issues that he is passionate about.