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SRM 918c Potassium Chloride General and Ion Activity Standard
Data provided by National Institute of Standards and Technology
This Standard Reference Material (SRM) is intended for use as an analytical standard of known purity. It is intended primarily for use in the calibration and standardization of procedures for potassium (K) and chloride (Cl-) determinations employed in clinical analysis, including those using ion-selective electrodes, and for routine critical evaluation of the daily working standards used in these procedures. This lot of potassium chloride (KCl) was prepared to ensure a material of high purity and homogeneity and has been assayed after heating at 110 degrees C to 120 degrees C.
Tags: SRM,Standard Reference Material,potassium chloride,
Modified: 2024-02-22
Views: 0
QFlow 2.0: Quantum dot data for machine learning
Data provided by National Institute of Standards and Technology
Using a modified Thomas-Fermi approximation, we model a reference semiconductor system comprising a quasi-1D nanowire with a series of five depletion gates whose voltages determine the number of quantum dots (QDs), the charges on each of the QDs, as well as the conductance through the wire. The original dataset, QFlow lite, consists of 1 001 idealized simulated measurements with gate configurations sampling over different realizations of the same type of device.
Tags: machine learning,quantum dots,simulated data,
Modified: 2024-02-22
Views: 0
Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing
Data provided by National Institute of Standards and Technology
There is often a large amount of maintenance data already available for use in Smart Manufacturing systems, but in a currently-unusable form: service tickets and maintenance work orders (MWOs). Nestor is a toolkit for using Natural Language Processing (NLP) with efficient user-interaction to perform structured data extraction with minimal annotation time-cost.
Tags: information,communication,maintenance,tribal knowledge,event sequences,training,machine learning,data cleaning,prognostics,diagnostics,visualization,decision guidance,CMMS,scheduling,investigations,nestor,smart manufacturing,manufacturing operations,manufacturing performance,
Modified: 2024-02-22
Views: 0
REMI: Resource for Materials Informatics
Data provided by National Institute of Standards and Technology
The REsource for Materials Informatics (REMI) will host a diverse collection of scripting notebooks (Jupyter, Matlab LiveScripts, etc.) for collecting, pre-processing, analyzing, and visualizing materials data. Notebooks are curated using tags aligned to Materials Science and Data Science topics. REMI emerged from the realization that both experts and novices wanted examples of using machine learning for science. Meanwhile, lots of experts are developing digital notebooks (e.g. Jupyter) to demonstrate step-by-step data collection, pre-processing, analysis and visualization.
Tags: machine learning,data analysis,data processing,materials science,materials genome initiative,
Modified: 2024-02-22
Views: 0
Dark solitons in BECs dataset 2.0
Data provided by National Institute of Standards and Technology
Atomic Bose-Einstein condensates (BECs) are widely investigated systems that exhibit quantum phenomena on a macroscopic scale. For example, they can be manipulated to contain solitonic excitations including conventional solitons, vortices, and many more. Broadly speaking, solitonic excitations are solitary waves that retain their size and shape and often propagate at a constant speed. They are present in many systems, at scales ranging from microscopic, to terrestrial and even astronomical.
Tags: machine learning,Bose-Einstein condensates,dark solitons,
Modified: 2024-02-22
Views: 0
FIZ/NIST Inorganic Crystal Structure Database (ICSD) - SRD 84
Data provided by National Institute of Standards and Technology
The Inorganic Crystal Structure Database (ICSD) is produced cooperatively by the Fachinformationszentrum Karlsruhe (FIZ) and the National Institute of Standards and Technology (NIST). Components and devices used in a broad spectrum of technology sectors such as health care, communications, energy and electronics are manufactured from crystalline materials; the development of advanced crystalline materials requires accurate crystal-structure data.
Tags: Rietveld profiles,X ray crystallography,X ray diffraction,X rays,XRD,absolute configurations,chemical structures,crystal data,crystal structures,crystallography,crystals,defect structures,diffraction,disorders,electron diffractions,electrons,identification,inorganic,inorganic structures,magnetic structures,materials,metals,mineral names,minerals,mixed crystal solid solutions,mixed crystals,modulated structures,neutron diffractions,neutrons,nuclear magnetic resonance,polytype structures,powder simulations,power,powers,prediction,simulations,single crystals,structure predictions,structures,synchroton radiations,twinned crystals,visualizations,x ray diffractions,
Modified: 2024-02-22
Views: 0
NIST MEMS Calculator - SRD 166
Data provided by National Institute of Standards and Technology
This MEMS Calculator determines the following thin film properties from data taken with an optical interferometer or comparable instrument: a) residual strain from fixed-fixed beams, b) strain gradient from cantilevers, c) step heights or thicknesses from step-height test structures, and d) in-plane lengths or deflections. Then, residual stress and stress gradient calculations can be made after an optical vibrometer or comparable instrument is used to obtain Young's modulus from resonating cantilevers or fixed-fixed beams.
Tags: ASTM,MEMS 5 in 1,MEMS Calculators,Micro Electro Mechanical Systems,Semiconductor Equipment and Materials International,Standard Reference Material,Young's modulus measurements,cantilevers,data analysis sheets,fixed-fixed beams,height measurements,interferometries,length measurements,residual strains,residual stresses,steps,strain gradients,stress gradients,test structures,thick,vibrometries,
Modified: 2024-02-22
Views: 0
SRM 131h Refined Cast Iron
Data provided by National Institute of Standards and Technology
Standard Reference Material 131h Refined Cast Iron - This Standard Reference Material (SRM) is intended primarily for use in validation of chemical and instrumental methods of analysis. It can be used to validate value assignment of in-house reference materials and, if necessary, to calibrate carbon/sulfur analyzers. A unit of SRM 131h consists of a bottle containing 100 g of chips. This data is public in the Certificate of Analysis for this material.
Tags: low alloy steel,cast iron,carbon,sulfur,Standard Reference Material,SRM,SRM 131h,combustion,infrared detection,manufacturing specification,manufacturing,
Modified: 2024-02-22
Views: 0
SRM 1632d Trace Elements in Coal (Bituminous)
Data provided by National Institute of Standards and Technology
Standard Reference Material 1632d Trace Elements in Coal (Bituminous) - This Standard Reference Material (SRM) is intended primarily for use in the evaluation of techniques used in the analysis of coals and materials of a similar matrix. A unit of SRM 1632d consists of 50 g of bituminous coal that was ground to pass a 250 µm (60 mesh) sieve, homogenized, bottled under an argon atmosphere, and sealed in an aluminized bag. This data is public in the Certificate of Analysis for this material.
Tags: SRM,Standard Reference Material,coal,sulfur,mercury,chlorine,trace elements,Energy,
Modified: 2024-02-22
Views: 0
SRM 1632e Trace Elements in Coal (Bituminous)
Data provided by National Institute of Standards and Technology
SRM 1632e Trace Elements in Coal (Bituminous) - This Standard Reference Material (SRM) is intended primarily for use in the evaluation of techniques used in the analysis of coals and materials of a similar matrix.
Tags: Standard Reference Material,SRM,trace elements,sulfur,mercury,chlorine,Energy,
Modified: 2024-02-22
Views: 0