Sort by
Refine Your Search
-
strain rates and temperatures. Identifying material properties and constitutive model parameters from the integrated data sets currently focuses on the finite element model updating (FEMU) method, but
-
research seeks to address these challenges through an integrated approach combining high-speed X-ray diffraction (XRD) and other synchrotron-based scattering experiments and advanced data analysis. Central
-
) motivates research in Knowledge Representation and Reasoning (KRR). The successful applicant would have an opportunity to apply their expertise in semantic web, linked data, and knowledge graphs to the field
-
and fractional quantum anomalous Hall states, superconductivity, and correlated insulators—that hold promise as the foundation for next-generation electrical standards and quantum information
-
important that microbiome measurements and data be supported by solid metrology. NIST and partners are seeking to develop standards and new measurement science infrastructure to improve confidence in
-
over time. Stem cell populations can be highly heterogeneous and can exhibit complex responses. Using quantitative imaging data on large numbers of live cells over time, we can construct potential
-
are developing microfluidics to measure material properties and structure. Protein, polymer and surfactant solutions and suspensions and emulsions are being characterized using computer-controlled microfluidic
-
of hydrogen-safe infrastructure. As with most environmental degradation problems, industry-specific testing has been prioritized, leading to phenomenological standards that are adjusted as new data or new
-
are manufactured on one production line, the control-process-quality relationships are not fully understood based on quantitative data analysis. Understanding the control-process-quality relationships will enable
-
machine tools that are self-aware via on-machine measurements and diagnostics, to track the machine’s performance health. Furthermore, solutions must be non-invasive, data-rich, inexpensive, and accurate