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Title: Big Data and Deep data in scanning and electron microscopies: functionality from multidimensional data sets

Abstract

The development of electron, and scanning probe microscopies in the second half of the twentieth century have produced spectacular images of internal structure and composition of matter with, at nanometer, molecular, and atomic resolution. Largely, this progress was enabled by computer-assisted methods of microscope operation, data acquisition and analysis. The progress in imaging technologies in the beginning of the twenty first century has opened the proverbial floodgates of high-veracity information on structure and functionality. High resolution imaging now allows information on atomic positions with picometer precision, allowing for quantitative measurements of individual bond length and angles. Functional imaging often leads to multidimensional data sets containing partial or full information on properties of interest, acquired as a function of multiple parameters (time, temperature, or other external stimuli). Here, we review several recent applications of the big and deep data analysis methods to visualize, compress, and translate this data into physically and chemically relevant information from imaging data.

Authors:
 [1];  [1];  [1];  [1];  [2];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Seoul National Univ. (Korea, Republic of)
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Center for Nanophase Materials Sciences (CNMS)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1214489
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Advanced Structural and Chemical Imaging
Additional Journal Information:
Journal Volume: 1; Journal Issue: 6; Journal ID: ISSN 2198-0926
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; 42 ENGINEERING

Citation Formats

Belianinov, Alex, Vasudevan, Rama K, Strelcov, Evgheni, Steed, Chad A, Yang, Sang Mo, Tselev, Alexander, Jesse, Stephen, Biegalski, Michael D, Shipman, Galen M, Symons, Christopher T, Borisevich, Albina Y, Archibald, Richard K, and Kalinin, Sergei. Big Data and Deep data in scanning and electron microscopies: functionality from multidimensional data sets. United States: N. p., 2015. Web. doi:10.1186/s40679-015-0006-6.
Belianinov, Alex, Vasudevan, Rama K, Strelcov, Evgheni, Steed, Chad A, Yang, Sang Mo, Tselev, Alexander, Jesse, Stephen, Biegalski, Michael D, Shipman, Galen M, Symons, Christopher T, Borisevich, Albina Y, Archibald, Richard K, & Kalinin, Sergei. Big Data and Deep data in scanning and electron microscopies: functionality from multidimensional data sets. United States. doi:10.1186/s40679-015-0006-6.
Belianinov, Alex, Vasudevan, Rama K, Strelcov, Evgheni, Steed, Chad A, Yang, Sang Mo, Tselev, Alexander, Jesse, Stephen, Biegalski, Michael D, Shipman, Galen M, Symons, Christopher T, Borisevich, Albina Y, Archibald, Richard K, and Kalinin, Sergei. Wed . "Big Data and Deep data in scanning and electron microscopies: functionality from multidimensional data sets". United States. doi:10.1186/s40679-015-0006-6. https://www.osti.gov/servlets/purl/1214489.
@article{osti_1214489,
title = {Big Data and Deep data in scanning and electron microscopies: functionality from multidimensional data sets},
author = {Belianinov, Alex and Vasudevan, Rama K and Strelcov, Evgheni and Steed, Chad A and Yang, Sang Mo and Tselev, Alexander and Jesse, Stephen and Biegalski, Michael D and Shipman, Galen M and Symons, Christopher T and Borisevich, Albina Y and Archibald, Richard K and Kalinin, Sergei},
abstractNote = {The development of electron, and scanning probe microscopies in the second half of the twentieth century have produced spectacular images of internal structure and composition of matter with, at nanometer, molecular, and atomic resolution. Largely, this progress was enabled by computer-assisted methods of microscope operation, data acquisition and analysis. The progress in imaging technologies in the beginning of the twenty first century has opened the proverbial floodgates of high-veracity information on structure and functionality. High resolution imaging now allows information on atomic positions with picometer precision, allowing for quantitative measurements of individual bond length and angles. Functional imaging often leads to multidimensional data sets containing partial or full information on properties of interest, acquired as a function of multiple parameters (time, temperature, or other external stimuli). Here, we review several recent applications of the big and deep data analysis methods to visualize, compress, and translate this data into physically and chemically relevant information from imaging data.},
doi = {10.1186/s40679-015-0006-6},
journal = {Advanced Structural and Chemical Imaging},
number = 6,
volume = 1,
place = {United States},
year = {Wed May 13 00:00:00 EDT 2015},
month = {Wed May 13 00:00:00 EDT 2015}
}

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