@article{TEXTUAL,
      recid = {6280},
      author = {Landauer, Alexander K. and Kafka, Orion L. and Moser,  Newell H. and Foster, Ian and Blaiszik, Ben and Forster,  Aaron M.},
      title = {A materials data framework and dataset for elastomeric  foam impact mitigating materials},
      journal = {Scientific Data},
      address = {2023-06-05},
      number = {TEXTUAL},
      abstract = {The availability of materials data for impact-mitigating  materials has lagged behind applications-based data. For  example, data describing on-field helmeted impacts are  available, whereas material behaviors for the constituent  impact-mitigating materials used in helmet designs lack  open datasets. Here, we describe a new FAIR (findable,  accessible, interoperable, reusable) data framework with  structural and mechanical response data for one example  elastic impact protection foam. The continuum-scale  behavior of foams emerges from the interplay of polymer  properties, internal gas, and geometric structure. This  behavior is rate and temperature sensitive, therefore,  describing structure-property characteristics requires data  collected across several types of instruments. Data  included are from structure imaging via micro-computed  tomography, finite deformation mechanical measurements from  universal test systems with full-field displacement and  strain, and visco-thermo-elastic properties from dynamic  mechanical analysis. These data facilitate modeling and  design efforts in foam mechanics, e.g., homogenization,  direct numerical simulation, or phenomenological fitting.  The data framework is implemented using data services and  software from the Materials Data Facility of the Center for  Hierarchical Materials Design.},
      url = {http://knowledge.uchicago.edu/record/6280},
}