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We are developing novel machine learning algorithms and incorporating them into closed-loop autonomous systems to accelerate knowledge capture in the lab and in
Combinatorial methods can reduce costs for software testing, and have significant applications in software engineering: Combinatorial or t-way testing is a
NIST produces a number of food-matrix Standard Reference Materials. A problem that frequently occurs in their analysis is one of assessing compatibility of data
As part of NIST's response to the Materials Genome Initiative (MGI), this project addresses the need for automation for the assembly and distribution of
The long records (sometimes over 100 years) of surface temperatures available from meteorological monitoring stations in the Unites States can be a valuable
Our High Performance Computing (HPC) program enables work on challenging problems that are beyond the capacity and capability of desktop computing resources
The goal of this project is to propose a new set of maps of extreme wind speeds for the next revision of Minimum Design Loads for Buildings and Other Structures
The goal of the metRology for Microsoft Excel* software project is to provide a convenient user interface using Microsoft Excel for some of the specialized
The goal of the metRology software project is to provide a set of specialized functions for statistical metrology as a package for the R software environment
The flow of polymer composites via injection molding, spraying or spreading on surfaces is crucial to polymer composite manufacturing. For single-phase liquids
NIST actively participates as a member of the Carpentries organization for capacity building of essential knowledge in data and computational skills to further
One promising new approach to next generation information processing is spintronics, where information is carried by electronic spin rather than charge. Among
The human brain does some types of information processing, like speech recognition, image recognition, or video processing, much more efficiently than can be
Theory and simulation are used to advance our understanding of pure and multicomponent fluids confined in tight spaces, such as the pores of a zeolite, metal
ITL researchers realize that visualization of scientific data can provide an understanding of the phenomenon or data being studied. Visualization can be
Micromagnetics concerns the patterns of magnetization that arise in materials on the scale of nanometers. Understanding these structures is key to technologies