Jacob D Hochhalter

Ontology type: schema:Person     

Person Info


Jacob D



Publications in SciGraph latest 50 shown

  • 2018-09 Development of Optimal Multiscale Patterns for Digital Image Correlation via Local Grayscale Variation in EXPERIMENTAL MECHANICS
  • 2018-07 Data-Driven Correlation Analysis Between Observed 3D Fatigue-Crack Path and Computed Fields from High-Fidelity, Crystal-Plasticity, Finite-Element Simulations in JOM
  • 2017-12 Investigation of fatigue crack incubation and growth in cast MAR-M247 subjected to low cycle fatigue at room temperature in INTERNATIONAL JOURNAL OF FRACTURE
  • 2017 Micro Speckle Stamping: High Contrast, No Basecoat, Repeatable, Well-Adhered in INTERNATIONAL DIGITAL IMAGING CORRELATION SOCIETY
  • 2017 Investigation of Optimal Digital Image Correlation Patterns for Deformation Measurement in INTERNATIONAL DIGITAL IMAGING CORRELATION SOCIETY
  • 2016-03 Predicting failure of the Second Sandia Fracture Challenge geometry with a real-world, time constrained, over-the-counter methodology in INTERNATIONAL JOURNAL OF FRACTURE
  • 2016-03 The second Sandia Fracture Challenge: predictions of ductile failure under quasi-static and moderate-rate dynamic loading in INTERNATIONAL JOURNAL OF FRACTURE
  • 2016-02 Multiscale modeling of sensory properties of Co–Ni–Al shape memory particles embedded in an Al metal matrix in JOURNAL OF MATERIALS SCIENCE
  • 2015-11 In Situ Microscopic Investigation to Validate Acoustic Emission Monitoring in EXPERIMENTAL MECHANICS
  • 2015 Computational Modeling and Experimental Characterization of Martensitic Transformations in NiCoAl for Self-Sensing Materials in PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTEGRATED COMPUTATIONAL MATERIALS ENGINEERING (ICME 2015)
  • 2014-03 The Sandia Fracture Challenge: blind round robin predictions of ductile tearing in INTERNATIONAL JOURNAL OF FRACTURE
  • 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": "https://www.grid.ac/institutes/grid.238252.c", 
              "type": "Organization"
            "isCurrent": true, 
            "type": "OrganizationRole"
        "familyName": "Hochhalter", 
        "givenName": "Jacob D", 
        "id": "sg:person.013073054047.88", 
        "identifier": {
          "name": "orcid_id", 
          "type": "PropertyValue", 
          "value": [
        "sameAs": [
        "sdDataset": "persons", 
        "sdDatePublished": "2019-03-07T13:59", 
        "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_1754.json", 
        "type": "Person"

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


    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.013073054047.88'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.013073054047.88'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.013073054047.88'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.013073054047.88'


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