Emmanuel Georgatis


Ontology type: schema:Person     


Person Info

NAME

Emmanuel

SURNAME

Georgatis

Publications in SciGraph latest 50 shown

  • 2022-09-29 A New Cooling-Rate-Dependent Machine Learning Feature for the Design of Thermally Sprayed High-Entropy Alloys in JOURNAL OF THERMAL SPRAY TECHNOLOGY
  • 2022-04 (FeMnNi)84(AlTi)16 High-Entropy Alloy: Correlation of Microstructure, Strengthening Mechanisms and Hardness at Various Conditions (As-Cast, Solution Treated, Aged) in METALLOGRAPHY, MICROSTRUCTURE, AND ANALYSIS
  • 2022-01-24 NiAl–Cr–Mo–W High-Entropy Systems Microstructural Verification, Solidification Considerations and Sliding Wear Response in METALLOGRAPHY, MICROSTRUCTURE, AND ANALYSIS
  • 2021-11 Microstructural Verification, Mechanical and Wear Analysis of MoTaNbVxTi Refractory High-Entropy Alloys in STRENGTH OF MATERIALS
  • 2020-05-28 Adjustment of Hardness of (CrFeMn)x(NiyAl)1−x, (y = 1,3 and x = 0.6,0.72,0.80) High Entropy Alloys by Deliberate Control of Intermetallic Phase Formation: Microstructural Evolution, Hardness and Dry-Sliding Wear Response in METALS AND MATERIALS INTERNATIONAL
  • 2020-04-23 A first approach on the assessment of the creep behavior of MoTaNbVxTi high entropy alloys by indentation testing in SN APPLIED SCIENCES
  • 2020-04-23 A further examination of MoTaxNbVTi (x = 0.25, 0.50, 0.75 and 1.00 at.%) high-entropy alloy system: microstructure, mechanical behavior and surface degradation phenomena in APPLIED PHYSICS A
  • 2019-09-27 Microstructural verification of the theoretically predicted morphologies of the NiAl–Cr pseudo-binary alloy systems and NiAl–Cr eutectic structure modification by Mo addition in SN APPLIED SCIENCES
  • 2019-07-31 AlNiCrFeMn Equiatomic High Entropy Alloy: A Further Insight in Its Microstructural Evolution, Mechanical and Surface Degradation Response in METALS AND MATERIALS INTERNATIONAL
  • 2019-05-17 Evaluation of the Microstructural Aspects, Mechanical Properties and Dry Sliding Wear Response of MoTaNbVTi Refractory High Entropy Alloy in METALS AND MATERIALS INTERNATIONAL
  • 2018-04-23 Analysis of Microstructure and Sliding Wear Behavior of Co1.5CrFeNi1.5Ti0.5 High-Entropy Alloy in JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
  • 2012-08-11 Development of a Cast Al-Mg2Si-Si In Situ Composite: Microstructure, Heat Treatment, and Mechanical Properties in JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
  • 2010-03-27 Solidification Observations of Dendritic Cast Al Alloys Reinforced with TiC Particles in JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
  • 2009-12-09 Solidification behaviour of ceramic particle reinforced Al-alloy matrices in JOURNAL OF MATERIALS SCIENCE
  • 2009-07-14 Microstructural Observations in a Cast Al-Si-Cu/TiC Composite in JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
  • Affiliations

    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", 
        "affiliation": [
          {
            "affiliation": {
              "id": "http://www.grid.ac/institutes/grid.9594.1", 
              "type": "Organization"
            }, 
            "isCurrent": true, 
            "type": "OrganizationRole"
          }
        ], 
        "familyName": "Georgatis", 
        "givenName": "Emmanuel", 
        "id": "sg:person.011402202402.40", 
        "identifier": [
          {
            "name": "orcid_id", 
            "type": "PropertyValue", 
            "value": "0000-0002-8470-5088"
          }
        ], 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011402202402.40", 
          "https://orcid.org/0000-0002-8470-5088"
        ], 
        "sdDataset": "persons", 
        "sdDatePublished": "2022-12-01T07:13", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/person/person_811.jsonl", 
        "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.011402202402.40'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.011402202402.40'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.011402202402.40'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.011402202402.40'


     




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


    ...