Skip to main content
U.S. flag

An official website of the United States government

Projects/Programs

    Displaying 1 - 25 of 26

    Classification Methods for the NIST Biorepository

    Ongoing
    NIST has been archiving biological and environmental specimens, including marine animal and environmental samples, for over 40 years. Currently, these biospecimens are stored at cryogenic temperatures in the NIST Biorepository located at the Hollings Marine Laboratory in Charleston, SC. Various

    Climate Science

    Ongoing
    This program encompasses multifaceted efforts to advance the metrology of climate science. Projects include: development of ultra-high accuracy optical standards and technologies to determine greenhouse gases (GHGs) concentrations, atmospheric lifetimes, and aerosol radiative forcing development of

    Consistency Analysis and Uncertainty in ‘omic Data

    Ongoing
    ‘Omics is increasingly moving out of the laboratory and towards use in industrial and commercial applications. For instance, in biomanufacturing, there is a need for quality control when developing biotherapeutics, which will almost certainly require a machine-learning classifier to separate

    Explosives Decomposition Chemistry

    Completed
    Intended Impact Computational modeling and simulation will help in the invention of new explosives, the design of compounded mixtures of existing materials, and the engineering of delivered systems such as military ordnance. Objective Detailed chemistry is a necessary part of computational

    Free Energy and Advanced Sampling Simulation Toolkit (FEASST)

    Ongoing
    Intended Impact While flat-histogram Monte Carlo simulations have been shown to be a promising method for the direct calculation of complex fluid phase behavior with a variety of applications, most open-source Monte Carlo simulation packages do not support this method. We have therefore made FEASST

    Machine Learning Fluid Equations of State

    Ongoing
    Understanding the thermodynamic properties of fluids and fluid mixtures is of central importance in many fields of science and engineering ranging from medicine to consumer products. The nature of the particles in a fluid can vary greatly depending on the type of interactions present, e.g., dipole

    Machine Learning to Predict Food Provenance

    Ongoing
    Adulteration of food and food products is a pernicious problem which is difficult to solve as supply chains and international trade routes become increasingly complex; yet agriculture contributed over $1 trillion to the US GDP in 2017, [1] illustrating the importance of protecting this and related

    Machine Learning to Predict Multicomponent Colloidal Crystals

    Ongoing
    There is a direct link between a material’s macroscopic properties and its microscopic structure, which makes rational bottom-up self-assembly a powerful tool for engineering properties of materials. In general, colloids are facile material building blocks whose shape, charge, and surface

    METIS

    Ongoing
    A Metrology Exchange to Innovate in Semiconductors

    NIST Data Resources for Adsorption

    Ongoing
    NIST/ARPA-e Database of Novel and Emerging Adsorbent Materials A centralized resource for the scientific community to find and compare single- and multi-component adsorption isotherms reported in the literature. The database sorts data according to adsorbent material, adsorbate species

    NIST Standard Reference Simulation Website

    Ongoing
    Molecular simulations, in particular Monte Carlo Molecular Simulation and Molecular Dynamics Simulation, are methods for computing the properties of some kind of system, for which the intermolecular interactions are specified via mathematical relationships derived from statistical mechanics. Since

    Omics Technological Advances in Aquaculture

    Ongoing
    According to the NOAA Fisheries of the U.S. report, in 2020 U.S. seafood consumption was estimated at ~6B pounds (~2.7 x 109 kg). Of that, 85% is imported and U.S. exports have seen a significant decline. Globally, the U.S. ranked only 18th in aquaculture production (2020). NIST aims to enhance the

    Per- and Polyfluoroalkyl Substances (PFAS)

    Ongoing
    Perfluorinated and polyfluorinated alkyl substances (PFAS) constitute a family of compounds that are distinguished by partial or complete fluorination of alkyl hydrocarbons. Dubbed “forever chemicals”, the unique chemistry of PFAS imparts a high level of stability, making the compounds resistant to

    Prediction of Global Warming Potential

    Ongoing
    Goals Use ANN models to fit RF and .OH rate constant data k(.OH). Be able to predict RF, k(.OH), and GWP with reasonable accuracy using readily available information. Create a screening tool based on the ANNs.  Research Activities Improve the performance of rate constant prediction. Compare rate

    Reactivity of Nanoparticle Catalysts

    Ongoing
    Goals: Provide mechanisms for various prototypical electrocatalytic reactions on different metallic surfaces an nanoparticles. Validate the results of DFT calculations versus experimental data. Research Activities: Studying the methanol oxidation reaction on Pt and PtRu surfaces. Studying the effect

    Solvation Thermodynamics

    Ongoing
    Solvation thermodynamics data are essential in the characterization and interpretation of any process carried out in the liquid phase. The data have application in the study of biochemical processes such as protein folding and protein-protein association in aqueous fluids and are useful as

    Theoretical Mass Spectrometry

    Ongoing
    No Description Intended Impact Unknown compounds will be identified more reliably. Quality control for the NIST Mass Spectrometry Database will be enhanced. Goals Develop software tools for predicting microcanonical branching fractions automatically. This is currently too laborious and too technical

    Understanding Protein Solution Phase Behavior via Coarse-Grained Modeling

    Ongoing
    Intended Impact Because biological systems span a broad range of length and time scales, they cannot be studied effectively using conventional all-atom simulations. While hardware advances represent one route to improving the computational tractability of simulating biological systems, significant

    Validation of Density Functional Theory for Materials

    Completed
    A variety of systems will be considered in this work: Pure and alloy solids will be studied using periodic DFT methods with three distinct crystal structures that are relevant to the widely-used CALPHAD (Computer Coupling of Phase Diagrams and Thermochemistry) method. This study emphasizes the