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In this project, we investigate appropriate uncertainty analysis and splicing algorithms for spectral data, especially fluorescence spectroscopy calibration, to
NIST is making advances in the science and technology for identification of firearms and tool marks; SED provides statistical analyses and designs as a vital
SED has had a long and extensive collaboration with the Materials Measurement Laboratory in working toward the certification of standard reference materials
The endocrine system orchestrates major developmental, reproductive, and other physiological changes throughout life. A detailed analysis of hormone suites can
Photopolymerization, particularly in crosslinked systems, proceeds via a complex reaction-diffusion process. Initiation, propagation (including those leading to
We are resolving critical measurement issues that prevent researchers from reliably predicting the chemical and physical storage stability of biomacromolecules
Imagine an MRI or CT technique that can peer inside structural materials (e.g., steels) and visualize the strain experienced by structures as they support loads
Our objective is to develop metrology techniques for characterizing mechanical strain in semiconductor devices as well as reference materials for assessing the
Mechanical strain impacts the performance of semiconductor devices. Manufacturing processes must be carefully controlled for strain to achieve high-yield and
This is a competence project to investigate new testing strategies for embedded software. The potential customers are US electronic instrument manufactures
Current terminology used to describe materials data is heterogeneous, redundant, and often ambiguous. The lack of common, community-based terminology hinders
In 2013, we hit a roadblock. We understood that spin waves propagated through materials, but we didn't understand why some interfaces transmitted these waves so
We are witnessing the emergence of a web based "data rich" era on chemical and biological compounds. In order to make significant advances in this "data rich"
Organic photovoltaics (OPV) represents the most challenging use case for soft matter ICME within the CHiMaD portfolio of use cases. Recent empirical advances in
Since its discovery, graphene, a single atomic sheet of carbon atoms, has become a leading contender to be a key building-block material for future generations
This project aims to improve models linking the microscale, grain-level deformation properties, and the macroscopic, continuum deformation properties. The
High-strength materials are used to protect wearers from injury due to ballistic and stab threats, as well as other potentially life-threatening incidents. The
Microbeam X-ray fluorescence (µXRF) has been used nondestructively to investigate elemental heterogeneity by constructing two-dimensional maps of elemental
Relentless, unabated growth of wireless communications technology, and the resulting extraordinary demand for bandwidth has led to the exploration of previously
The aim of this project is to develop robust, quantitative measurement methods utilizing transmission electron microscopy methods for complex, nanostructured
NIST is developing AI and machine learning methods to improve the fidelity of novel nanoscale microscopy techniques that are under research by NIST physicists.