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parallel algorithms, execution of algorithms in the computer cloud, to delivering on-demand measurements over the Web. key words Image processing; Machine learning, Computer vision; Statistical methods
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RAP opportunity at National Institute of Standards and Technology NIST Modeling Complex Microstructures Location Information Technology Laboratory, Applied and Computational Mathematics Division
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Measurement Science to Advance Understanding of Chemical Equilibria in Natural Waters NIST only participates in the February and August reviews. NIST has a long-standing program in electroanalytical
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RAP opportunity at National Institute of Standards and Technology NIST Durability of Concrete Materials Containing Reactive Minerals in the Aggregate and Concrete Location Engineering Laboratory, Materials and Structural Systems Division opportunity location 50.73.11.C1032 Gaithersburg,...
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RAP opportunity at National Institute of Standards and Technology NIST Channel Sounding and Radio Frequency Propagation Location Communications Technology Laboratory, Radio Frequency Technology Division opportunity location 50.67.22.C1019 Boulder, CO NIST only participates in the February...
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catalytic turnover. Integrative modeling and machine learning have the promise of establishing new tools for combining computational and experimental data from HDX-MS and NMR to explain the dynamics and
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procedures must be developed. The new hybrid AM processing methods will be instrumented and characterized using a variety of experimental techniques and computational models. key words additive manufacturing
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, toxicology, statistics, and computer programming are applicable. key words Forensics; Forensic Science; Toxicology; Statistics; Mass Spectrometry; Drugs; Chemometrics; Analytical Chemistry Eligibility
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., biomarkers, metabolites) must be evaluated using digital twins of breath device prototypes. Our digital twins are based on simulations using computational fluid dynamics (CFD) and computational fluid and
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for critical applications that require qualification and certification—increasingly require that computational models and in-situ monitoring of such processes be experimentally validated under highly controlled