@article{08c698f7be3245a991f124d1053ae70b,
title = "First-principles simulation of light-ion microscopy of graphene",
abstract = "The extreme sensitivity of 2D materials to defects and nanostructure requires precise imaging techniques to verify presence of desirable and absence of undesirable features in the atomic geometry. Helium-ion beams have emerged as a promising materials imaging tool, achieving up to 20 times higher resolution and 10 times larger depth-of-field than conventional or environmental scanning electron microscopes. Here, we offer first-principles theoretical insights to advance ion-beam imaging of atomically thin materials by performing real-time time-dependent density functional theory simulations of single impacts of 10-200 keV light ions in free-standing graphene. We predict that detecting electrons emitted from the back of the material (the side from which the ion exits) would result in up to three times higher signal and up to five times higher contrast images, making 2D materials especially compelling targets for ion-beam microscopy. This predicted superiority of exit-side emission likely arises from anisotropic kinetic emission. The charge induced in the graphene equilibrates on a sub-fs time scale, leading to only slight disturbances in the carbon lattice that are unlikely to damage the atomic structure for any of the beam parameters investigated here.",
keywords = "charge dynamics, electron emission, first-principles simulations, graphene, microscopy, time-dependent density functional theory",
author = "Alina Kononov and Alexandra Olmstead and Baczewski, {Andrew D.} and Andr{\'e} Schleife",
note = "We gratefully acknowledge helpful discussions with Ed Bielejec, Michael Titze, and Gyorgy Vizkelethy. A K, A O, and A D B were partially supported by the US Department of Energy Science Campaign 1. This material is based upon work supported by the National Science Foundation under Grant OAC-1740219. Support from the IAEA F11020 CRP \u2018Ion Beam Induced Spatiotemporal Structural Evolution of Materials: Accelerators for a New Technology Era\u2019 is gratefully acknowledged. This research is part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (Awards OCI-0725070 and ACI-1238993) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications. This work made use of the Illinois Campus Cluster, a computing resource that is operated by the Illinois Campus Cluster Program (ICCP) in conjunction with the National Center for Supercomputing Applications (NCSA) and which is supported by funds from the University of Illinois at Urbana-Champaign. Sandia National Laboratories is a multi-mission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International, Inc. for DOE\u2019s National Nuclear Security Administration under contract DE-NA0003525. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy or the United States Government. This article has been authored by an employee of National Technology & Engineering Solutions of Sandia, LLC under Contract No. DE-NA0003525 with the U.S. Department of Energy (DOE). The employee previously owned all right, title and interest in and to the article and is solely responsible for its contents. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this article or allow others to do so, for United States Government purposes. The DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan www.energy.gov/downloads/doe-public-access-plan .",
year = "2022",
month = oct,
doi = "10.1088/2053-1583/ac8e7e",
language = "English (US)",
volume = "9",
journal = "2D Materials",
issn = "2053-1583",
publisher = "IOP Publishing Ltd.",
number = "4",
}