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Journal article
Big, Deep, and Smart Data in Scanning Probe Microscopy
ACS nano, v 10(10), pp 9068-9086
01 Oct 2016
PMID: 27676453
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Big, Deep, and Smart Data in Scanning Probe Microscopy
- Creators
- Sergei V. Kalinin - Oak Ridge National LaboratoryEvgheni Strelcov - Oak Ridge National LaboratoryAlex Belianinov - Oak Ridge National LaboratorySuhas Somnath - Oak Ridge National LaboratoryRama K. Vasudevan - Oak Ridge National LaboratoryEric J. Lingerfelt - Oak Ridge National LaboratoryRichard K. Archibald - Oak Ridge Natl Lab, Inst Funct Imaging Mat, Oak Ridge, TN 37831 USAChaomei Chen - Drexel UniversityRoger Proksch - Oxford InstrumentsNouamane Laanait - Oak Ridge National LaboratoryStephen Jesse - Oak Ridge National LaboratoryOak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Center for Nanophase Materials Sciences (CNMS)
- Publication Details
- ACS nano, v 10(10), pp 9068-9086
- Publisher
- American Chemical Society; Washington, DC
- Number of pages
- 19
- Grant note
- Laboratory Directed Research and Development Program of Oak Ridge National Laboratory applied mathematics program at the DOE Compute and Data Environment for Science (CADES) Eugene P. Wigner Fellowship at Oak Ridge National Laboratory DE-AC05-00OR22725 / Oak Ridge Leadership Computing Facility, a DOE Office of Science User Facility at ORNL
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000386423600005
- Scopus ID
- 2-s2.0-84993999142
- Other Identifier
- 991019168769804721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Chemistry, Multidisciplinary
- Chemistry, Physical
- Materials Science, Multidisciplinary
- Nanoscience & Nanotechnology