Literature DB >> 27676453

Big, Deep, and Smart Data in Scanning Probe Microscopy.

Sergei V Kalinin, Evgheni Strelcov, Alex Belianinov, Suhas Somnath, Rama K Vasudevan, Eric J Lingerfelt, Richard K Archibald, Chaomei Chen1, Roger Proksch2, Nouamane Laanait, Stephen Jesse.   

Abstract

Scanning probe microscopy (SPM) techniques have opened the door to nanoscience and nanotechnology by enabling imaging and manipulation of the structure and functionality of matter at nanometer and atomic scales. Here, we analyze the scientific discovery process in SPM by following the information flow from the tip-surface junction, to knowledge adoption by the wider scientific community. We further discuss the challenges and opportunities offered by merging SPM with advanced data mining, visual analytics, and knowledge discovery technologies.

Year:  2016        PMID: 27676453     DOI: 10.1021/acsnano.6b04212

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  4 in total

1.  Nanoscale compositional mapping of cells, tissues, and polymers with ringing mode of atomic force microscopy.

Authors:  M E Dokukin; I Sokolov
Journal:  Sci Rep       Date:  2017-09-19       Impact factor: 4.379

2.  Electrostatic Discovery Atomic Force Microscopy.

Authors:  Niko Oinonen; Chen Xu; Benjamin Alldritt; Filippo Federici Canova; Fedor Urtev; Shuning Cai; Ondřej Krejčí; Juho Kannala; Peter Liljeroth; Adam S Foster
Journal:  ACS Nano       Date:  2021-11-22       Impact factor: 18.027

3.  Rotational dynamics and transition mechanisms of surface-adsorbed proteins.

Authors:  Shuai Zhang; Robbie Sadre; Benjamin A Legg; Harley Pyles; Talita Perciano; E Wes Bethel; David Baker; Oliver Rübel; James J De Yoreo
Journal:  Proc Natl Acad Sci U S A       Date:  2022-04-11       Impact factor: 12.779

4.  Predicting hydration layers on surfaces using deep learning.

Authors:  Yashasvi S Ranawat; Ygor M Jaques; Adam S Foster
Journal:  Nanoscale Adv       Date:  2021-05-06
  4 in total

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