| AVS 56th International Symposium & Exhibition | |
| Applied Surface Science | Thursday Sessions |
| Session AS2+BI-ThM |
| Session: | Scanning Probe Studies of Biological Materials |
| Presenter: | S.V. Kalinin, Oak Ridge National Laboratory |
| Authors: | S. Jesse, Oak Ridge National Laboratory M.P. Nikiforov, Oak Ridge National Laboratory O. Ovchinnikov, Oak Ridge National Laboratory S.V. Kalinin, Oak Ridge National Laboratory |
| Correspondent: | Click to Email |
Scanning Probe Microscopy techniques provide a wealth of information on nanoscale interactions. The rapid emergence of spectroscopic imaging techniques in which the response to local force, bias, or temperature is measured at each spatial location necessitates the development of data interpretation and visualization techniques for 3- or higher dimensional data sets.
In this presentation, we summarize recent advances in applications of neural network based artificial intelligence methods in scanning probe microscopy. The examples will include biological identification based on the dynamic of the electromechanical response, direct mapping of dynamic disorder in ferroelectric relaxors, and reconstruction of random bond-random field Ising model parameters in ferroelectric capacitors. The future prospects for smart multispectral SPMs are discussed.
Research was supported by the U.S. Department of Energy Office of Basic Energy Sciences Division of Scientific User Facilities and was performed at Oak Ridge National Laboratory which is operated by UT-Battelle, LLC.