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Machine Learning in Scanning Probe Microscopy

INVITED · M36 · ID: 788567

Presentations

  • TopoStats, a tool to discover the hidden structures and states of biomolecule

    ORAL · Invited

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    Publication: Pyne, A. L. B. et al. Base-pair resolution analysis of the effect of supercoiling on DNA flexibility and major groove recognition by triplex-forming oligonucleotides. Nature Communications 12, 1053 (2021)<br>Beton, J. G. et al. TopoStats – A program for automated tracing of biomolecules from AFM images. Methods 193, 68–79 (2021)<br>dos Santos, Á. et al. Autophagy receptor NDP52 alters DNA conformation to modulate RNA Polymerase II transcription. bioRxiv 2022.02.01.478690 (2022)

    Presenters

    • Alice Pyne

      University of Sheffield, University of Sheffield, UK

    Authors

    • Alice Pyne

      University of Sheffield, University of Sheffield, UK

    View abstract →

  • Machine Learning to classify, predict structure-property relationships, and detect artifacts in AFM images

    ORAL · Invited

    –

    Publication: Yablon et al., MRS Communications, Volume 11, Issue 6, p.962-968 DOI <br>10.1557/s43579-021-00103-2 <br><br>Yablon et al., Machine Learning in Materials Informatics: Methods and Applications<br>Chapter 3pp 51-64 10.1021/bk-2022-1416.ch003

    Presenters

    • Dalia Yablon

      SurfaceChar

    Authors

    • Dalia Yablon

      SurfaceChar

    • Ishita Chakraborty

      Cognite

    • John Thornton

      bruker

    • Bede Pittenger

      bruker

    View abstract →

  • AI-driven atomic manipulation and characterization in the STEM

    ORAL · Invited

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    Publication: 1. Roccapriore K.M.., Boebinger M.G., Dyck O., Ghosh A., Unocic R.R., Kalinin, S.V., Ziatdinov M. "Probing Electron Beam Induced Transformations on a Single Defect Level via Automated Scanning Transmission Electron Microscopy." ACS Nano 2022 10.1021/acsnano.2c07451<br>2. Roccapriore K.M., Dyck O., Oxley M.P., Ziatdinov M., Kalinin S.V. "Automated Experiment in 4D-STEM: Exploring Emergent Physics and Structural Behaviors." ACS Nano 2022, 16, 5, 7605–7614. 10.1021/acsnano.1c11118<br>3. Kalinin S.V., Vasudevan R.K., Liu Y., Ghosh A., Roccapriore K.M., Ziatdinov M. "Microscopy is All You Need." arXiv:2210.06526<br>4. Mukherjee D., Roccapriore K.M., Al-Najjar A., Ghosh A., Hinkle J.D., Lupini A.R., Vasudevan R.K., Kalinin S.V., Ovchinnikova O.S., Ziatdinov M., Rao N.S. "A roadmap for edge computing enabled automated multidimensional transmission electron microscopy." arXiv:2210.02538<br>5. Roccapriore K.M., Ziatdinov M., Lupini A.R., Singh A.P., Philipose U., Kalinin S.V. "Discovering Invariant Spatial Features in Electron Energy Loss Spectroscopy Images on the Mesoscopic and Atomic Levels." arXiv:2202.00657<br>6. Roccapriore K.M., Cho S.-H., Lupini A.R., Milliron D.J., Kalinin S.V., Sculpting the plasmonic responses of nanoparticles by directed electron beam irradiation. Small 10.1002/smll.202105099<br>7. Roccapriore K.M., Kalinin S.V., Ziatdinov M., Physics discovery in nanoplasmonic systems via autonomous experiments in Scanning Transmission Electron Microscopy. Adv Sci 2022. 10.1002/advs.202203422<br>8. Roccapriore K.M., Ziatdinov M., Cho S.-H., Hachtel J.A., Kalinin S.V., Predictability of localized plasmonic responses in nanoparticle assemblies. Small, 17, 2100181

    Presenters

    • Kevin M Roccapriore

      Oak Ridge National Lab, Oak Ridge National Laboratory

    Authors

    • Kevin M Roccapriore

      Oak Ridge National Lab, Oak Ridge National Laboratory

    • Maxim Ziatdinov

      Oak Ridge National Lab

    • Matthew Boebinger

      Oak Ridge National Laboratory

    • Ondrej Dyck

      Oak Ridge National Laboratory

    • Ayana Ghosh

      Oak Ridge National Lab

    • Raymond Unocic

      Oak Ridge National Laboratory

    • Sergei V Kalinin

      University of Tennessee, University of Tennessee, Knoxville

    View abstract →

  • Identification of geometrical features of cell surface responsible for cancer aggressiveness: Machine learning analysis of atomic force microscopy images.

    ORAL · Invited

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    Publication: Previous work.<br>Prasad, S., Rankine, A., Prasad, T., Song, P., Dokukin, M.E., Makarova, N., Backman, V. and Sokolov, I. (2021), Atomic Force Microscopy Detects the Difference in Cancer Cells of Different Neoplastic Aggressiveness via Machine Learning. Adv. NanoBiomed Res., 1: 2000116. https://doi.org/10.1002/anbr.202000116

    Presenters

    • Mikhail Petrov

      Tufts University

    Authors

    • Mikhail Petrov

      Tufts University

    View abstract →

  • Universal image segmentation for optical identification of 2D materials

    ORAL · Invited

    –

    Publication: Sterbentz, R.M., Haley, K.L. & Island, J.O. Universal image segmentation for optical identification of 2D materials. Sci Rep 11, 5808 (2021). https://doi.org/10.1038/s41598-021-85159-9

    Presenters

    • Randy M Sterbentz

      University of Nevada, Las Vegas

    Authors

    • Randy M Sterbentz

      University of Nevada, Las Vegas

    • Joshua Island

      University of Nevada, Las Vegas

    • Kristine Haley

      University of Nevada - Las Vegas

    View abstract →