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The Fluid Characterization Group is developing the advanced fluid characterization laboratory information management system (AFC-LIMS) to support several
We are developing novel machine learning algorithms and incorporating them into closed-loop autonomous systems to accelerate knowledge capture in the lab and in
Digital battery passports (DBPs), if implemented on a large scale, can provide the electric vehicle battery community with valuable data to support sustainable
During the past decade with increased computing power and new research developments, Bayesian statistical methods have become practical in diverse areas of
Large signal descriptions are now required as wireless networks are pushed beyond the limits of linear analysis. The complexity of the resulting problems demand
Worldwide, cement/concrete development and utilization represent significant measurable fractions of national GDP's. Over-reliance on dated modes of assessing
The ability to predict signal strength has many applications in the telecommunications industry. The difference(in dB) between the transmitted and received
For more than 50 years, Statistical Engineering Division (SED) staff have played a critical role in the success of a broad spectrum of interdisciplinary
Combinatorial methods can reduce costs for software testing, and have significant applications in software engineering: Combinatorial or t-way testing is a
NIST is developing a portal to enable researchers to mine high-quality proteomic data from phylogenetically diverse species to identify advantageous biological
Initially the Comparative Mammalian Proteome Aggregator Resource (CoMPARe) Program will generate proteomic data from sera from 25 different species that
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 ‘omics moves into industrial and commercial applications, there is a need for quality and process control to ensure safety and efficacy of products and
This project uses community evaluations to build the infrastructure required to evaluate system effectiveness on information access tasks. In particular, the
The main focus of the project is to develop standard techniques for the measurement of critical current of high-temperature and low-temperature superconductors
The NIST Information Access Division (IAD) initiated a Data Science Research Program (DSRP) aimed to advance the measurement science for big data and data
Density Functional Tight Binding (DFTB) methods have been shown to be capable of producing reliable molecular structures and energetics at a significantly
With the signing of the Mutual Recognition Arrangement (MRA), National Metrology Institutes (NMI's) and Regional Metrology Organizations (RMO's) around the
The long records (sometimes over 100 years) of surface temperatures available from meteorological monitoring stations in the Unites States can be a valuable
e-FITS ( link currently only accessible to NIST staff) is a web-based tool used to generate graphs, tables, and random numbers for a large number of probability
With increasing use of data-driven methodologies, concerns around data discovery, data access, and data interoperability have come to the forefront. Communities
Modern instruments tend to produce data that are consisted of measured spectra, probability distribution functions, or simply sampled curves. Statistical
Consortium hosted by NIST dedicated to authoritative characterization of benchmark human genomes. Sign up for General GIAB and Analysis Team email lists