Ellad Tadmor is a Professor of Aerospace Engineering and Mechanics at the University of Minnesota. 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. He serves on the Editorial Board of the Journal of Elasticity. Prof. Tadmor is the Director the NSF Open Knowledgebase of Interatomic Models (OpenKIM) and the PI of the ColabFit Project which extends OpenKIM functionality to machine learning models.
Description of Work —
Empirical and machine learning interatomic potentials with an emphasis on 2D material systems.
Graphene, MoS2, Si.
- M. Wen, Y. Afshar, R. S. Elliott and E. B. Tadmor, "KLIFF: A framework to develop analytic and machine learning interatomic potentials", Computer Physics Communications, 272, 108218 (2022).
- M. Wen and E. B. Tadmor, "Uncertainty quantification in molecular simulations with dropout neural network potentials", npj Computational Materials, Vol 6, 124 (2020)
- M. Wen and E. B. Tadmor, "Hybrid neural network potential for multilayer graphene", Phys. Rev. B, Vol 100, 195419 (2019).
- M. Wen, S. Carr, S. Fang, E. Kaxiras and E. B. Tadmor, "Dihedral-angle-corrected registry-dependent interlayer potential for multilayer graphene sturctures", Phys. Rev. B, Vol 98, 235404 (2018).
- M. Wen, J. Li, P. Brommer, R. S. Elliott, J. P. Sethna and E. B. Tadmor, "A KIM-compliant Potfit for fitting sloppy interatomic potentials: Application to the EDIP model for silicon", Model. Simul. Mater. Sci. Eng., Vol 25, 014001 (2017).
- M. Wen, S. M. Whalen, R. S. Elliott and E. B. Tadmor, "Interpolation Effects in Tabulated Interatomic Potentials", Model. Simul. Mater. Sci. Eng., Vol 23, 074008 (2015).