Abstract
Structure, bonding, and chemical dynamics of reactions at surfaces and interfaces, and therefore most material properties are intrinsically tied to the energetic landscape in which each atom resides. Here, we demonstrate that a moving atom under electron beam excitation can be used to probe the energy landscape along (confined) step edges, providing information about atomic-scale potentials. The techniques for experimentally exploring atomic potentials holds promise for predictive atom-by-atom fabrication using electron beams.
Original language | English |
---|---|
Article number | 116508 |
Journal | Acta Materialia |
Volume | 203 |
DOIs | |
State | Published - Jan 15 2021 |
Funding
This material is based upon work supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division (STEM work O.D. S.J. S.V.K.) and was performed at the Oak Ridge National Laboratory's Center for Nanophase Materials Sciences (CNMS), a U.S. Department of Energy, Office of Science User Facility (data analysis M.Z.). This work was also supported by The Alan Turing Institute under the EPSRC grant EP/N510129/1 (K.J.H.L.). We would like to acknowledge the support by the Scientific Discovery through Advanced Computing (SciDAC) funded by the U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research through FASTMath Institutes and partial support by U.S. National Science Foundation under contract DMS-1720222. (F.B.) A.M. acknowledges fellowship support from the UT/ORNL Bredesen Center for Interdisciplinary Research and Graduate Education. This material is based upon work supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division (STEM work O.D., S.J., S.V.K.) and was performed at the Oak Ridge National Laboratory's Center for Nanophase Materials Sciences (CNMS), a U.S. Department of Energy, Office of Science User Facility (data analysis M.Z.). This work was also supported by The Alan Turing Institute under the EPSRC grant EP/N510129/1 (K.J.H.L.). We would like to acknowledge the support by the Scientific Discovery through Advanced Computing (SciDAC) funded by the U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research through FASTMath Institutes and partial support by U.S. National Science Foundation under contract DMS-1720222. (F.B.) A.M. acknowledges fellowship support from the UT/ORNL Bredesen Center for Interdisciplinary Research and Graduate Education.
Keywords
- atomic dynamics
- graphene
- potential energy landscape
- scanning transmission electron microscope