TM Sapronova


Ontology type: schema:Person     


Person Info

NAME

TM

SURNAME

Sapronova

Publications in SciGraph latest 50 shown

  • 2018-06 On the Theory of Compensated Bipolar Beams in JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS
  • 2018-06 On the Theory of Bipolar Beams of Charged Particles in JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS
  • 2017-11 Formation of a ribbon electron beam of a planar gyrotron in the end region and near the edge of the cathode in JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS
  • 2017-11 Configuration of the thermal gap in magnetron-injection guns complying with the hydrodynamic flow model in JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS
  • 2016-10 Formation of Brillouin-type toroidal electron beams in JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS
  • 2014-06 Forming electrodes for a relativistic electron ribbon beam in JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS
  • 2014-05 Oscillations of the Hall current in a Hall thruster with an anode layer in HIGH TEMPERATURE
  • 2013-09 Experimental study of the domain of existence of intensive non-self-sustained discharge in crossed fields in HIGH TEMPERATURE
  • 2013-05 Investigation of thrust characteristics of a dummy hollow-anode hall thruster in HIGH TEMPERATURE
  • 2012-08 A Paraxial approximation of the problem of formation of nonparaxial conical and toroidal electron beams of an arbitrary cross section in JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS
  • 2010-06 Testing of geometrized models of 2D electron beams in JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS
  • 2008-08 Experimental investigations of a breadboard model of Hall thruster in HIGH TEMPERATURE
  • 2005-09 The Procedure of Measuring the Thrust of Ion-Plasma Jet Engines with Closed Electron Drift by the Value of Hall Current in HIGH TEMPERATURE
  • 2002-11 The Effect of the Angular and Radial Distributions of Trajectories on the Structure of Axisymmetric Electron and Ion Beams with Compensated Charge in a Longitudinal Magnetic Field in HIGH TEMPERATURE
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "familyName": "Sapronova", 
        "givenName": "TM", 
        "id": "sg:person.012201265457.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012201265457.19"
        ], 
        "sdDataset": "persons", 
        "sdDatePublished": "2019-03-07T13:46", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-researchers-20181010/20181011/dim_researchers/base/researchers_1542.json", 
        "type": "Person"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/person.012201265457.19'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.012201265457.19'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.012201265457.19'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.012201265457.19'


     

    This table displays all metadata directly associated to this object as RDF triples.

    11 TRIPLES      9 PREDICATES      10 URIs      6 LITERALS      1 BLANK NODES

    Subject Predicate Object
    1 sg:person.012201265457.19 schema:familyName Sapronova
    2 schema:givenName TM
    3 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012201265457.19
    4 schema:sdDatePublished 2019-03-07T13:46
    5 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    6 schema:sdPublisher Na09b92732e954e928ec99ecb5944bf9c
    7 sgo:license sg:explorer/license/
    8 sgo:sdDataset persons
    9 rdf:type schema:Person
    10 Na09b92732e954e928ec99ecb5944bf9c schema:name Springer Nature - SN SciGraph project
    11 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...